Efficient Data Extraction for Freelancers

Summary

Project Overview

I am looking for an experienced AI/API developer to build an automated workflow using Anthropic’s Claude. The system must process both incoming voice calls (via speech-to-text) and live chat messages, extract key data, and automatically log structured summaries into our CRM.
Key Requirements

1. Voice AI Integration

Transcribe inbound/outbound sales or support calls using a provider like Twilio, Deepgram, or AssemblyAI.

Pass the transcribed text to Claude (Anthropic API) to identify:

Action items

Customer sentiment

Key dates/commitments

Return a structured JSON summary.

2. Chat AI Integration

Connect Claude to a live chat widget (e.g., Intercom, Drift, or custom webhook).

Enable Claude to respond to common customer queries or summarize agent-customer chats.

Ensure the same data extraction (action items, intent, urgency) as voice.

3. CRM Automation

Automatically push Claude’s structured output from both voice and chat into our CRM ([e.g., Salesforce, HubSpot, Pipedrive, Close, or custom API]).

Fields to update per interaction:

Call/chat transcript summary

Follow-up tasks & due dates

Lead stage or ticket priority

Avoid duplicates and handle partial matches.

Deliverables

Working Python (or Node.js) script/codebase with clear comments.

API endpoints or webhooks for voice and chat input.

Configuration file for CRM mapping (fields & authentication).

Brief documentation (1–2 pages) for testing and maintenance.

Freelancer Qualifications (Preferred)

Proven experience with Claude API (Anthropic) and prompt engineering.

Past work integrating voice (STT) and chat into a single workflow.

Familiarity with at least one CRM’s API (list which you know).

Bonus: Twilio, Make.com, or n8n automation experience.

Skills: Python, Node.js, Laravel, JSON, Twilio, Intercom, API Development, AI Chatbot Development, AI Development, Claude (Anthropic)

I have a full-disk .img taken from a Linux server and I need the usable information pulled out of it. The goal is to mount the image, navigate its file system, and recover only the files and directories that hold application data, with particular attention to the database stores.

If any corruption is encountered, let me know the options before attempting repairs so we do not risk further damage.

Deliverables
• A compressed archive containing the recovered database directories and any essential config that keeps them functional
• A concise log of the commands or steps you used so I can reproduce the process if needed

All file permissions, ownership, and timestamps must remain intact, and the original image must never be altered during the operation. If this is straightforward for you, let me know how soon you can begin and an estimated timeframe for completion.

Skills: Linux, Data Processing, Data Extraction, Data Analysis, Database Management, Data Management, Data Backup, System Administration

I need a Python developer with strong Selenium, ChromeDriver, writing Python scripts, and automating tasks, here are some key roles and skills you should look for
his person would be responsible for:

Setting up Selenium and WebDriver: Ensuring ChromeDriver or other browser drivers are properly configured.
Writing automation scripts: Creating Python scripts to automate tasks like form submissions, web navigation, data extraction, etc.
Debugging: Identifying and fixing issues in scripts to ensure smooth operation.
Skills to Look For:
Proficiency in Python:

The person should have strong knowledge of Python for writing automation scripts using Selenium.
Selenium Experience:

Hands-on experience with Selenium WebDriver to automate web tasks (e.g., form filling, web scraping, interaction with web elements).
Web Development Knowledge:

Basic understanding of HTML, CSS, and JavaScript to locate and interact with web elements via XPath, CSS Selectors, and more.
Experience with WebDriver:

Familiarity with ChromeDriver and other WebDrivers (e.g., GeckoDriver for Firefox) to automate browser actions.
Debugging Skills:

Ability to troubleshoot errors in automation scripts, handle exceptions, and optimize code for better performance.
Familiarity with CI/CD (Optional):

Integration/Continuous Deployment (CI/CD) can be helpful.

Skills: Python, Web Scraping, Amazon Web Services, Google Chrome, Debugging

Same process for these two GLs. Upwork requires 50 words so pasting again!

Take a general ledger with 5,851 numbered/dated/described cash account debit/credit transactions and match to other side (debit/credit) on other general ledger. The task requires attention to detail and accuracy in financial data entry. Have two cash accounts - #1005 and #1010 with the numbered transactions. After finding the matching/verifying opposite side transaction , reference to the cash transaction by inputting the transaction number and yellow highlight the cash transaction to see done. There is a table for description to help locate.

I need help decoding a set of Reddit text files generated from a Dr. Fone/Wondershare dump. The files are in TXT format and contain Reddit data.

Requirements:
- Decode TXT files
- Extract:
- User information
- Comments
- Post content

Ideal Skills and Experience:
- Experience with text file manipulation
- Familiarity with Reddit data structure
- Proficient in handling JSON, CSV, and TXT formats

Looking for someone detail-oriented and reliable.

Skills: Data Processing, Data Entry, JSON, Data Extraction, Data Visualization, Data Analysis, Data Integration, Data Management

PROFESSIONAL SUMMARY
Detail-oriented and systems-focused Data Specialist specializing in end-to-end data pipelines for remote business environments. Proven expertise in taking raw, fragmented business datasets and transforming them into structured, automated, and visually striking Power BI dashboards and Excel models. Expert in data cleansing, relational data modeling, and advanced business intelligence analytics (DAX, Power Query, XLOOKUP, and Pivot Tables) aimed at helping remote teams optimize operations, increase sales performance, and make data-driven decisions.

TECHNICAL SKILLS MATRIX
Data Analysis & BI: Power BI Desktop, Power BI Service, Power Pivot, Data Modeling (Star Schema), DAX (Data Analysis Expressions) Measures.

Advanced Spreadsheet Engineering: Microsoft Excel, Google Sheets, Power Query, Advanced Formulas (XLOOKUP, INDEX/MATCH, nested IF statements), Interactive Pivot Tables, Dynamic Charts.

Data Lifecycle Management: Data Entry, End-to-End Data Cleansing (De-duplication, Outlier Detection, String Standardization), Data Processing, PDF Text Extraction/OCR, File Management.

Remote Work Stack: Cloud Collaboration (Google Drive, OneDrive), Asynchronous Communication, Reporting Automation.

PORTFOLIO PROJECTS
PROJECT 1: Global Automobile Sales Data Model & BI Ecosystem
Tools Used: Power BI, Power Query, Power Pivot, Excel

Dataset Analyzed: STANDARD BUSINESS DATA & SAMPLE POWER PIVOT DATA

Skills: Data Processing, Data Entry, Data Mining, Data Warehousing, Excel VBA, Data Analytics, Data Scraping, Data Extraction, Data Analysis, Power BI

example for that
https://saffplus.sa/en/event/match/o1hHTej-g4TYnVMkePdBf

who knows how i can download it

Skills: JavaScript, Python, Data Processing, Web Scraping, Web Development, Data Extraction, API, Automation, API Integration

I need a list of US based Pressure Washing Companies that do NOT have a website. Completed list should include business name, owners name, city they work in, verified business is active, verified email address for contact and verification they do not have a website.

I will use the list to sell my website creation services to them.

We are looking for an experienced AI/ML engineer to design and implement an OCR and document parsing pipeline that can reliably extract structured data from scanned documents and PDFs.
The goal is to automate data extraction from semi-structured and unstructured documents (invoices, forms, reports, etc.) into a clean, machine-readable format that can feed our backend systems.

Project Scope
Build an end-to-end OCR and document parsing pipeline (from file upload to structured JSON output or database insertion).
Handle a variety of document layouts (scanned PDFs, images, multi-page documents, rotated/cropped pages, noisy scans).
Support at least 100 document types initially (e.g., invoices, receipts, ID documents, medical reports), with a design that makes adding new templates straightforward.

Responsibilities
- Analyze our sample documents and define the optimal OCR and parsing strategy (rules-based, ML-based, or hybrid).
- Implement OCR using tools such as Tesseract, EasyOCR, Google Vision, AWS Textract, or similar.
- Design and train ML models for layout analysis and field extraction (e.g., key-value pairs, tables, named entities) where needed.
- Build document preprocessing steps (deskewing, denoising, contrast/thresholding, language selection).
- Implement robust parsing logic to map extracted text to structured fields (JSON schema or database model).
- Set up evaluation metrics (precision/recall/accuracy per field) and iterate to reach agreed quality thresholds.
- Package the solution as an API or microservice that our backend can call (REST/GraphQL, etc.).

Required Skills and Experience
- Strong experience with Python for AI/ML and backend scripting.
- Hands-on experience with OCR and document AI (e.g., Tesseract, EasyOCR, PaddleOCR, Google Vision, AWS Textract, Azure Form Recognizer).
- Solid understanding of computer vision and NLP techniques for document understanding (layout analysis, entity extraction, text normalization).
- Experience with one or more ML/DL frameworks: PyTorch, TensorFlow, or similar.
- Familiarity with data preprocessing, feature engineering, and model evaluation best practices.
- Experience exposing models as APIs or integrating ML pipelines into production systems (Docker, FastAPI, Flask, etc.).
- Strong communication skills and ability to document code and decisions clearly.

Nice-to-Have
Experience with document layout models (LayoutLM, Donut, TrOCR, or similar).
Prior work on invoice/receipt parsing, ID document extraction, or healthcare document workflows.
Knowledge of MLOps practices (model versioning, logging, monitoring, CI/CD for ML).
Experience with major cloud platforms (AWS/GCP/Azure) and their document AI services.

Deliverables
- A working OCR and document parsing pipeline integrated with our backend (or exposed as a well-documented API).
- Clean, well-structured code repository (Git) with clear setup instructions.
- Configuration to support at least 100 initial document types, with documentation on how to add more.
- Evaluation report (test set, metrics per document type, known limitations and edge cases).
- Optional: Basic dashboard or logs to monitor parsing performance and errors over time.

How to Apply
Please start your proposal with the word "OCR-PIPELINE" so we know you read the post.
Include the following:
A brief summary of your experience with OCR and document parsing (1-2 paragraphs).
Links or descriptions of similar projects you've completed (especially OCR / document AI work).
Your preferred tech stack for this project (OCR engine, ML framework, API framework, cloud provider if any).
A rough outline of your approach to building a robust OCR + parsing pipeline for mixed document types.
Your estimated timeline and total cost or hourly rate

Looking forward to your proposals.

Realtor Database Building Process

## Objective

Build a database of Realtors in North County San Diego who are actively listing homes and may be good referral partners for Mike's Garage Transformations.

The goal is NOT to collect every Realtor. The goal is to identify active listing agents and rank them by priority.

---

## Cities to Search

(Search each city separately)

* Carlsbad
* Encinitas
* Oceanside
* Vista
* San Marcos
* Escondido
* Fallbrook
* Poway
* Rancho Bernardo
* Del Mar
* Solana Beach
* Cardiff
* La Costa

(More cities may be added later.)

---

## Step 1: Search Realtor.com

1. Go to Realtor.com
2. Search the assigned city.
3. Browse active listings.
4. Open each listing.
5. Scroll to the bottom of the page.
6. Locate the "Listed By" section.
7. Click the Realtor's profile.

---

## Step 2: Collect Realtor Information

From the Realtor profile page collect:

* First Name
* Last Name
* Brokerage
* Cell Phone
* Physical Office Address
* Number of Active Listings
* Number of Listings Sold
* Worked With Buyer %
* Worked With Seller %
* Realtor Profile URL

---

## Step 3: Visit Their Website

Click through to the Realtor's website and collect:

* Email Address
* Website URL
* Instagram URL
* Facebook URL
* LinkedIn URL (if available)

---

## Step 4: Assign Priority Rating

### Priority A (Highest Value)

Assign Priority A if ANY of the following are true:

* 10+ active listings
* 50+ sold listings
* Team Leader
* Broker Owner
* Luxury specialist
* Probate specialist
* Senior downsizing specialist
* Relocation specialist

These agents should be contacted personally by Mike.

---

### Priority B

Assign Priority B if:

* 3-9 active listings OR
* 15-49 sold listings

These are active agents who may become valuable referral partners.

---

### Priority C

Assign Priority C if:

* 1-2 active listings OR
* Less than 15 sold listings

Still collect the information but mark as lower priority.

---

## Step 5: Notes

Add any useful notes including:

* Probate
* Divorce specialist
* Senior relocation
* Luxury homes
* Military relocation
* First-time buyers
* Large team
* Broker owner
* High social media presence

Any information that would help personalize future outreach.

---

## Step 6: Enter Data Into Spreadsheet

Enter all information into the appropriate city worksheet.

Before adding a Realtor:

* Check for duplicates.
* If Realtor already exists, update missing information rather than creating a new record.

---

## Quality Standard

The goal is accuracy over speed.

Please verify:

* Phone number
* Email address
* Website
* Social links

before entering into the spreadsheet.

A smaller, high-quality database is more valuable than a larger database with incomplete information.

I need an experienced n8n automation developer to build a workflow that processes mortgage protection lead PDFs. The system should automatically take a multi-page PDF (often containing hundreds or thousands of lead forms), split it into individual pages, extract the lead's name using OCR or template-based data extraction, rename each image file using the client's name, convert each page to JPG or PNG format, and save the files to a designated folder. The workflow should also handle duplicate names, OCR errors, and provide a simple review process for exceptions. As a second phase, I want the automation to integrate with GoHighLevel by locating the matching contact record and attaching the lead image to that contact automatically. Experience with n8n, OCR, PDF processing, Python, APIs, and GoHighLevel is required. Please provide examples of similar automations you've built and an estimate of timeline and cost.

This task needs to be completed between 24 hours of
this posting.


I have a set of 20 technical diagrams in PDF format.
need someone to review each one and manually record
all of the text in a spreadsheet. I need this work done
because I am writing software that automatically extracts
this text from the PDFs. And I want to use the manually
extracted text to validate that my auto-extraction
program is working.


Please see the attached example screenshot of one of
these diagrams.I want all of the text that appears
anywhere in this diagram recorded in a Google Sheet,
regardless of what orientation the text is in. For instance,
the text might be sideways.


My company has similar kinds of manual projects from
time to time. If you do a good job, we will likely want to
use you on other projects,

Need software that will: Google Scraper and Email Extractor.
Crawl Google.com and other professional web databases to extract company contact information - but specifically email addresses.

Define the search by location and profession:
Texas, USA Commercial Contractor.

The crawler will crawl the websites and extract the requested data to an Excel or CSV document.

ADDENDUM - I previously had a similar tool that would perform the work in stages.

Stage 1) created an CSV/EXCEL spreadsheet of the web-domains
2) Scrape the Domains for the Public Domain contact information.
3) Create additional pre-decided email addresses for each domain (info@, Support@, Hello@ etc. to amplify outreach potential.

This task needs to be completed between 24 hours of
this posting.


I have a set of 20 technical diagrams in PDF format.
need someone to review each one and manually record
all of the text in a spreadsheet. I need this work done
because I am writing software that automatically extracts
this text from the PDFs. And I want to use the manually
extracted text to validate that my auto-extraction
program is working.


Please see the attached example screenshot of one of
these diagrams.I want all of the text that appears
anywhere in this diagram recorded in a Google Sheet,
regardless of what orientation the text is in. For instance,
the text might be sideways.


My company has similar kinds of manual projects from
time to time. If you do a good job, we will likely want to
use you on other projects.

I'm looking for a detail-oriented researcher to build targeted prospect lists across three business categories as I validate market demand for consulting services focused on growth, operations, systems, marketing, content, and AI-powered business support.

Target Audience

Women-owned, founder-led businesses where the owner is still heavily involved in day-to-day operations.

Ideal Business Profile

Solo entrepreneurs or small teams
Founder-led organizations
Growing businesses
Established but still owner-operated
Founder likely wears multiple hats (marketing, operations, customer service, sales, etc.)

Please build separate prospect lists for the following categories:

BUCKET 1: Children's Businesses (40 Leads)

Examples:

Dance studios
Children's enrichment centers
Tutoring companies
Learning centers
Gymnastics studios
Music schools
Youth activity businesses

BUCKET 2: Beauty & Wellness Businesses (30 Leads)

Examples:

Med spas
Estheticians
Lash studios
Wellness clinics
Skincare businesses
Beauty service providers

BUCKET 3: Founder-Led Service Businesses (30 Leads)

Examples:

Marketing agencies
Virtual assistant agencies
Bookkeeping firms
Consultants
Coaches
Creative agencies
Professional service businesses

Deliverables

Please provide a Google Sheet with separate tabs for each business category.

For each business, include:

Business Name
Owner/Founder Name
Email Address (if publicly available)
Website
Business Instagram Handle
Business Instagram Follower Count
Owner Instagram Handle (if available)
City/State
Business Category
Notes

Goal

The purpose of this project is to identify which customer segment is the strongest fit for consulting services that help founders create more clarity, stronger systems, operational support, and sustainable growth.

Please include examples of similar lead generation or research projects you've completed.

We're LUMÉE, a beauty gummy brand looking for an experienced outreach specialist to help us identify and recruit high-quality creators for our affiliate program. (shoplumee.store)

What You'll Do ⬇️

- Find ONLY US-based female creators on Instagram and TikTok
- Focus on beauty, wellness, self-care, and related niches
- Evaluate creators based on engagement, content quality, audience authenticity, and brand fit
- Contact creators through approved outreach methods
- Track outreach and responses
- Help onboard interested creators into our affiliate program

Creator Offer ( What the Affiliate gets)

- 30% commission on every sale
- Free LUMÉE product after their first post goes live
- Personal 10% discount code for their audience
- Monthly payouts

Requirements 🔴

- Experience with influencer outreach or affiliate recruitment
- Strong communication skills
- Familiarity with Instagram, TikTok, and creator marketing
- Ability to identify creators with genuine audiences and strong engagement

To Apply
Please include:

- Your experience with influencer outreach
- Examples of previous results
- Your estimated rate
- How many qualified creators you can source per week

We're looking to start immediately.

Hi! I need some help with data entry for my instagram account. You'll need experience using google sheets - let me know if you're interested!

Senior Make.com Automation Specialist Needed – Expansion of Existing Credit Repair Operating System

Project Overview

Poinsette Credit Solutions (PCS) has successfully completed Phase 1 of a proprietary Metro 2 compliance and consultation automation system. We are seeking an experienced Make.com automation specialist to complete the remaining build requirements and deliver a fully operational, scalable system.

This is NOT a new build. The foundation has already been developed and documented. Existing assets include Make.com scenario exports (JSON files), architecture documentation, AI prompts, Google Sheets dashboards, testing procedures, and workflow explanations.

The selected freelancer must be comfortable inheriting an existing project, reviewing existing documentation, and completing all remaining requirements outlined below.

⸻

Existing Functionality (Already Built)

The following components have already been completed:

Client Intake & Report Processing

* AnnualCreditReport.com report acquisition workflow
* Credit report upload process
* ID and proof of address collection process
* Google Drive document workflows
* Credit report PDF ingestion and processing
* Data extraction from reports
* Data normalization and text aggregation

Metro 2 Analysis Engine

* Tradeline classification engine
* Account categorization logic
* Metro 2/FCRA compliance flag identification
* Finding prioritization and organization

AI Consultation Engine

* AI-generated consultation summaries
* AI-generated consultation talking points
* Identification of primary factors affecting the client’s credit profile
* Identification of immediate opportunities for improvement
* Metro 2 compliance review summaries

Dashboard & Reporting Outputs

* Dashboard population and reporting outputs
* Accounts Sheet population with findings and classifications
* Processing summaries for consultation preparation

Existing Technical Assets

* Make.com workflow documentation
* Scenario JSON exports
* Testing procedures
* Architecture explanations
* Existing AI prompts

The current system enables PCS to process reports and prepare for structured Metro 2 consultations.

⸻

Scope of Work – Remaining Build Requirements

The selected freelancer will complete all remaining development necessary to transform the existing system into a comprehensive client-facing and employee-operated operating system.

⸻

CRC Dispute Workflow Development

The selected freelancer must review CRC’s capabilities and implement the dispute process using CRC as the operational platform.

Responsibilities include:

* Reviewing existing CRC functionality and workflows
* Mapping Metro 2 findings to dispute categories
* Building dispute reason libraries
* Converting findings into actionable dispute recommendations
* Creating logic to determine appropriate dispute language
* Building and configuring dispute letter templates within CRC
* Implementing dispute letter generation within CRC
* Designing workflows for dispute management using CRC
* Organizing dispute correspondence by client
* Developing systems for tracking outgoing disputes
* Developing systems for tracking bureau responses
* Ensuring dispute workflows align with CRC’s capabilities and limitations
* Creating SOP documentation for all CRC dispute processes
* Providing employee training materials covering the CRC dispute process

⸻

Client Management & Operational Scaling

The selected freelancer must expand PCS into a more comprehensive client management and operational system.

Responsibilities include:

CRM & Client Tracking

* CRM integration and workflow design
* Client lifecycle status tracking
* Internal case management workflows
* Consultation outcome tracking
* Active client tracking
* Dispute progression tracking
* Milestone tracking throughout the client journey

Client Communications

* Automated follow-up workflows
* Automated client communication workflows
* Appointment-related communications
* Status update communications
* Ongoing client engagement workflows

Operational Scaling

* Dashboard enhancements for management visibility
* Workflow recommendations supporting future growth
* Monitoring workflow recommendations
* Recommendations for future client portal implementation
* Documentation supporting future team expansion

⸻

Employee Workflow Documentation Requirements

The selected freelancer must create detailed Standard Operating Procedures (SOPs) and training materials explaining how employees will operate the system in daily business operations.

The objective is to ensure new team members can successfully use the system with minimal supervision.

⸻

Processing Team SOPs

Documentation must include:

* How employees receive client reports and documentation
* How employees organize uploaded reports
* How employees initiate report processing
* How employees verify successful processing completion
* How employees identify processing failures
* Troubleshooting procedures
* Escalation procedures requiring management review

⸻

Consultation Team SOPs

Documentation must include:

* How employees access processed reports
* How employees review dashboard findings
* How employees interpret AI-generated consultation summaries
* How employees utilize consultation talking points
* How employees prepare for consultations
* How employees document consultation outcomes
* How employees update client statuses

⸻

CRC Dispute Team SOPs

Documentation must include:

* How employees review Metro 2 findings
* How employees verify dispute recommendations
* How employees generate disputes within CRC
* How employees review dispute correspondence before submission
* How employees organize outgoing disputes
* How employees track bureau responses
* How employees update client records throughout the dispute process
* Troubleshooting procedures related to CRC dispute workflows

⸻

Client Management SOPs

Documentation must include:

* New client onboarding procedures
* Client lifecycle management procedures
* Status tracking procedures
* Follow-up scheduling procedures
* Documentation standards for client interactions
* Internal communication procedures
* Escalation procedures for unusual situations

⸻

Required Skills

Applicants must demonstrate experience with:

* Advanced Make.com development
* Modifying and expanding existing Make.com scenarios
* Google Sheets automation
* Google Drive integrations
* AI integrations (Claude, OpenAI, or similar)
* Complex workflow design
* Business process automation
* SOP development
* Technical documentation creation
* System handoff preparation

⸻

Preferred Qualifications

Preference will be given to applicants with experience in:

* Credit repair businesses
* Metro 2 reporting concepts
* FCRA-related workflows
* CRC platform experience
* Financial services automations
* CRM implementation projects
* Client portal implementation projects

⸻

Required Deliverables

Technical Deliverables

* Updated Make.com scenario exports (.json)
* Workflow diagrams
* System architecture maps
* Documentation of all integrations
* Documentation of all AI prompts used
* Testing instructions
* Quality assurance procedures
* Implementation notes for future developers

⸻

Operational Deliverables

* Written SOP documentation
* Employee training manuals
* Role-specific instructions
* Troubleshooting guides
* Escalation procedures
* Operational workflow diagrams

⸻

Training Deliverables

* Screen-recorded walkthrough videos
* Demonstrations of each workflow
* Employee onboarding materials
* Training sufficient for a new employee to perform assigned responsibilities independently

⸻

Final Handoff Deliverables

* Complete system documentation package
* Final Make.com exports
* Updated workflow diagrams
* Final walkthrough videos
* Confirmation that all functionality has been tested
* Documentation sufficient for future developers to continue development without starting over
* Documentation sufficient for employees to operate the system without ongoing developer support

⸻

Important

This is a continuation and expansion of an existing system, not a project being built from scratch.

Applicants must be comfortable inheriting an existing project and continuing development using previously documented workflows.

Access to the current system documentation, JSON exports, prompts, testing materials, and architecture diagrams will be provided during onboarding.

The selected freelancer will be responsible for delivering all remaining requirements outlined above as part of a single project engagement, including development, documentation, training materials, testing procedures, and final system handoff.

Please begin your proposal with the phrase:

“I understand this is an expansion project, not a new build.”

This requirement helps identify applicants who have carefully reviewed the project scope.

Skills: Make.com, AI Development

I have a repetitive data-entry routine that currently relies on manually copying information from a set of Excel/CSV files into another system. I’d like a concise Python script that will pick up the source files from a local folder, extract the required fields, apply any simple cleaning rules (trim spaces, check for nulls, fix obvious typos), and then push the results into the target template automatically.

The workflow at a glance
• Watch or scan a specified directory for new Excel/CSV files
• Parse each file, map columns to my destination format, and write the consolidated output (CSV is fine)
• Log any rows that fail validation so I can review them later

I’m fine with standard libraries such as pandas, openpyxl or csv, whichever you’re most comfortable with for quick turnaround. A clear README and well-commented code are all I need for hand-off; no UI is required. If you can wrap the whole thing in a reusable function and include a small sample dataset to prove it works, that will be perfect.

Skills: Python, Data Processing, Data Entry, Excel, Software Architecture, Scripting, Data Extraction, Automation, Data Management, Pandas

I need someone that can crawl an entire product category on a large retail website (Amazon, eBay, Walmart, or another platform I’ll specify once we start). When you open each page on the site, a chrome extension will open & I need to pull four data points from the extension: the product name, UPC code, price, and any per-item fulfilment or handling fee the site shows.

Skills: JavaScript, Python, Data Processing, Web Scraping, Google Chrome, Web Development, Data Extraction, BeautifulSoup, Google Sheets, Selenium

We are seeking a Data Scientist & Data Scraping Specialist to collect, process, analyze, and derive insights from large datasets. The ideal candidate will have experience in web scraping, data mining, machine learning, data visualization, and automation.

Key Responsibilities
Data Collection & Scraping
Develop and maintain web scraping solutions using Python.
Extract data from websites, APIs, PDFs, and structured/unstructured sources.
Build scalable data collection pipelines.
Clean, validate, and transform scraped data.
Monitor and update scraping systems to handle website changes.
Data Science & Analytics
Analyze large datasets to identify trends and business insights.
Develop predictive models using machine learning algorithms.
Perform data preprocessing, feature engineering, and model evaluation.
Build dashboards and reports for stakeholders.
Conduct statistical analysis and hypothesis testing.
Automation & Engineering
Automate data extraction and reporting workflows.
Integrate scraped data into databases and data warehouses.
Optimize ETL pipelines for performance and reliability.
Work with cloud platforms and big data technologies.
Required Skills
Programming
Python (Mandatory)
SQL
JavaScript (for dynamic website scraping)
Data Science
Pandas
NumPy
Scikit-learn
TensorFlow or PyTorch
Statistics and Probability
Web Scraping
BeautifulSoup
Scrapy
Selenium
Playwright
API Integration
Databases
MongoDB
PostgreSQL
MySQL
Visualization
Power BI
Tableau
Matplotlib
Plotly

PROFESSIONAL SUMMARY
Detail-oriented and systems-focused Data Specialist specializing in end-to-end data pipelines for remote business environments. Proven expertise in taking raw, fragmented business datasets and transforming them into structured, automated, and visually striking Power BI dashboards and Excel models. Expert in data cleansing, relational data modeling, and advanced business intelligence analytics (DAX, Power Query, XLOOKUP, and Pivot Tables) aimed at helping remote teams optimize operations, increase sales performance, and make data-driven decisions.

TECHNICAL SKILLS MATRIX
Data Analysis & BI: Power BI Desktop, Power BI Service, Power Pivot, Data Modeling (Star Schema), DAX (Data Analysis Expressions) Measures.

Advanced Spreadsheet Engineering: Microsoft Excel, Google Sheets, Power Query, Advanced Formulas (XLOOKUP, INDEX/MATCH, nested IF statements), Interactive Pivot Tables, Dynamic Charts.

Data Lifecycle Management: Data Entry, End-to-End Data Cleansing (De-duplication, Outlier Detection, String Standardization), Data Processing, PDF Text Extraction/OCR, File Management.

Remote Work Stack: Cloud Collaboration (Google Drive, OneDrive), Asynchronous Communication, Reporting Automation.

PORTFOLIO PROJECTS
PROJECT 1: Global Automobile Sales Data Model & BI Ecosystem
Tools Used: Power BI, Power Query, Power Pivot, Excel

Dataset Analyzed: STANDARD BUSINESS DATA & SAMPLE POWER PIVOT DATA

Skills: Data Processing, Data Entry, Data Mining, Data Warehousing, Excel VBA, Data Analytics, Data Scraping, Data Extraction, Power BI, Google Sheets

NOT a manual project, this requires bots/ scrapers.

For each of the 1,553 schools in the attached list, please find the name of the Headteacher. If no Headteacher is listed, please find the Principal. If neither is available, please find the Deputy Head.

Please also find the school phone number and school email address (this will be something like contact@ info@...).

When searching, please use the school name together with the country name, as there may be several schools around the world with the same or similar names.

The best way to find the Headteacher or Principal is likely to have your bot search/ask Google directly, for example:

“Who is the Headteacher or Principal of [School Name] in [Country]?” Gemini will usually provide this

Please complete the attached spreadsheet with the name, job title, phone number, email address, and source URL for each school.

Please make sure all emails are valid.

Looking forward to working together.

We are looking for a skilled Data Scientist to join our project and help transform raw data into actionable business insights. The ideal candidate should have hands-on experience in data analysis, machine learning, statistical modeling, and data visualization.

Responsibilities
Collect, clean, and preprocess large datasets from various sources.
Perform exploratory data analysis (EDA) to identify trends and patterns.
Build, train, and evaluate machine learning models.
Develop predictive models and recommendation systems.
Conduct statistical analysis and hypothesis testing.
Create dashboards and visualizations to communicate findings.
Collaborate with stakeholders to understand business requirements.
Document methodologies, results, and recommendations.
Required Skills
Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn).
Experience with machine learning algorithms and model evaluation.
Knowledge of SQL for data extraction and manipulation.
Experience with data visualization tools such as Matplotlib, Plotly, Power BI, or Tableau.
Understanding of statistics and probability concepts.
Familiarity with Jupyter Notebook and version control (Git).
Ability to communicate complex findings in a clear manner.
Preferred Qualifications
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Knowledge of cloud platforms (AWS, Azure, or GCP).
Experience working with real-world business datasets.
Master's degree or equivalent experience in Data Science, Statistics, Computer Science, or a related field.

We are looking for a reliable professional who can deliver high-quality insights and scalable data solutions. Long-term collaboration opportunities are available for the right candidate.

We are a growing real estate investment company looking to automate our lead qualification and appointment booking process.

Currently, we generate leads from Facebook Ads, Google Ads, and landing pages, but our team spends too much time manually calling prospects, qualifying them, updating our CRM, and scheduling appointments.

We are looking for an experienced AI Automation Developer who can build an end-to-end system using AI voice agents, workflow automation, and CRM integrations.

Project Scope

We need a solution that can:

* Automatically capture leads from forms and landing pages
* Trigger an AI voice agent to call new leads within minutes
* Qualify prospects using conversational AI
* Answer common questions naturally
* Book appointments directly into our sales team's calendars
* Update our CRM automatically
* Send follow-up SMS and email sequences
* Escalate hot leads to human sales reps

Preferred Technology Stack

We are open to recommendations, but experience with the following is highly preferred:

* n8n
* OpenAI API / ChatGPT
* Vapi AI, Retell AI, or Synthflow
* Twilio
* HubSpot, GoHighLevel, or Pipedrive
* Zapier or Make.com
* Webhooks and API Integrations
* AI Agents
* Voice AI
* Appointment Booking Systems

Deliverables

* Complete workflow architecture
* AI voice agent setup
* CRM integration
* Lead qualification logic
* Appointment booking automation
* Testing and optimization
* Documentation for future maintenance

Required Experience

Please apply only if you have experience with:

* AI Automation
* AI Agents
* Voice AI
* CRM Integrations
* Workflow Automation
* OpenAI API
* n8n Development
* Chatbot Development
* Conversational AI
* API Integrations

When applying, please provide:

1. Relevant projects you've built
2. Tools and technologies used
3. Your proposed architecture
4. Estimated timeline

Budget: Open to discussion based on experience.

Job Title:
Data Researcher Needed: Systematic Lead Generation for Group Health Insurance Brokers (Zip-by-Zip Search)
Job Description:
Overview:
We are seeking a meticulous, systematic Data Research Specialist to help us build a comprehensive, national database of Group Health Insurance Brokerages systematically state by state. The goal of this project is to prospect target areas systematically—zip code by zip code—to ensure 100% market coverage without missing smaller local firms.
This is a highly structured, volume-based prospecting task. If you have experience with deep-web research, B2B lead generation, and working with strict data formatting in Google Sheets, we want to hear from you.
Key Responsibilities:
• Conduct systematic, zip code-by-zip code research using search engines, local directories, map data, and industry licensing databases to identify group health insurance brokerages.
• Identify and target the Sales Leadership contact at each brokerage (e.g., VP of Sales, Sales Director, Agency Principal).
• Locate accurate, verified direct contact details for those individuals.
• Input data perfectly into a structured excel Sheet with zero formatting errors.
*** A link to a shared excel document will be provided. This is where all data will be populated.
Required Data Points (Template Provided Below):
For every single brokerage identified, you must collect:
1. Agency/Brokerage Name
2. First Name of Sales Leadership Contact
3. Last Name of Sales Leadership Contact
4. Verified Business Email Address
5. Direct or Main Office Phone Number
6. Agency Website URL
7. Street Address
8. Zip Code
9. City
10. State
11. Data source
Project Requirements & Skills:
• Absolute Accuracy: High-quality, verified data only. Generic info emails (e.g., info@, sales@) should be a last resort; we heavily prioritize direct, personal executive email addresses.
• Systematic Approach: Ability to strictly follow a provided list of zip codes and check off areas as they are cleared.
• Tool Proficiency: Experience with lead generation and verification tools (e.g., LinkedIn Sales Navigator, Hunter.io, Apollo, NeverBounce, or similar) is a massive plus.
• Communication: Responsive, capable of providing daily or milestone updates on Google Sheets.

I need help transferring a sizeable block of purely numerical information—somewhere between one and ten-thousand rows—from several existing Excel sheets into a single, consolidated file that I’ll supply. Accuracy is more important than speed; every figure must match the source exactly, with no reformatting slips or misplaced decimals.

I’ll give you:
• All source workbooks, clearly labelled.
• A destination template with the column order and any validation rules already in place.
• A short set of written checks so you know the cross-totals I’ll use to confirm your work.

You’ll return the completed template, saved in XLSX, along with a quick summary noting any outliers you spotted during entry. If you can start right away and keep lines of communication open while you work, we’ll be a perfect fit.

Skills: Data Processing, Data Entry, Excel, Microsoft Office, Data Extraction, Data Analysis, Data Integration, Data Management

I want to extend my-office AutoCAD Civil workflow with a set of bespoke LISP drawing commands that can mine our civil drawings for data and instantly turn that data into clear, formatted reports.

Here is what I have in mind:
• The work is pure custom-command development in AutoLISP / Visual LISP, not simple task automation.
• Each command will run inside vanilla AutoCAD 2021 (and newer) as well as Civil 3D 2021.
• When invoked, the command must scan the current drawing, collect object properties I will specify (layers, polylines, spot levels, block attributes, etc.), then output them to either a CSV or an on-screen table—whichever is cleaner for the drawing in question.

I will provide:
• Sample DWG files that illustrate the exact objects and attributes to be captured
• A short specification of the report layout and export options
• A small test suite so we can quickly confirm results

Success for me means:
1. The LISP loads cleanly with no warnings.
2. The new command finishes on drawings up to 30 MB in under 20 seconds.
3. The generated report matches the sample template and passes the test suite.

A developer already comfortable with Civil drawing structures, object enablers, and VLISP should find the scope straightforward. I prefer to work with someone based in India for easier time-zone collaboration, and I’m ready to start as soon as we agree on milestones and code-review checkpoints.

Skills: Visual Basic, Excel, CAD/CAM, AutoCAD, Software Development, Lisp, Programming, Data Extraction

I'm looking for someone experienced in web scraping and automation to extract company information from an online directory and organize the results into an Excel spreadsheet.

Access to the website will be provided to the selected freelancer.

The directory contains roughly 40,000 records. Email addresses are the highest priority, along with other company information available on the site. I'd also like the spreadsheet organized by country.

This will most likely involve building an automated scraper rather than collecting the data manually. Experience with tools such as Python, Playwright, Selenium, BeautifulSoup, or similar technologies is preferred.

Please let me know:

1. Which tools or approach you would use.
2. Whether you would perform a one-time extraction or build a reusable scraper that can be run again in the future.
3. Your estimated timeline.

The goal is to obtain a clean, accurate, and well-organized dataset.

We are looking for an experienced Python Web Scraping Expert to help us build and maintain reliable, scalable data extraction solutions, with a focus on Chinese websites.
This role requires strong technical expertise, attention to detail, and the ability to solve challenges independently.

🔧 Responsibilities
- Develop and maintain web scraping solutions using Python
- Analyze website structures and build efficient, scalable data collectors
- Improve and optimize existing data extraction processes
- Troubleshoot issues across data pipelines and ensure data quality
- Collaborate with internal teams and external partners
- Take ownership of tasks and deliver reliable solutions

🧠 Required Skills
- Strong Python experience (e.g. Scrapy, Requests, Selenium/Puppeteer)
- Proven experience in web scraping / data extraction / crawling
- Good understanding of HTTP, APIs, and web technologies (HTML/CSS)
- Experience with XPath or Regular Expressions
- Familiarity with Git and Linux environment
- Experience using browser developer tools and Postman

I need help transferring text-based records that currently live in my MySQL database into a clean, well-structured format I can work with outside the system. The job is purely text data entry; no calculations or analytics are required. You will connect to the MySQL tables I specify, pull the relevant fields, and re-enter that information exactly as it appears, maintaining case, accents, and punctuation.

Because the source is a live database, accuracy and consistency are critical. I will supply read-only access credentials along with a field-mapping guide so you know which columns belong in which destination fields.

Deliverables
• A final file (CSV or Excel—your choice) containing every required record, fully cross-checked against the source tables.
• A quick summary of any anomalies you spot—duplicate IDs, missing values, or unexpected characters—so I can address them on my end.

If you already work comfortably with MySQL Workbench, phpMyAdmin, or similar tools, this will be a straightforward assignment. I’m ready to get started as soon as you can confirm timing and your preferred export method.

Skills: PHP, Data Processing, Excel, Database Programming, Data Extraction, Database Management, Data Management