Data Extraction Freelance Jobs

We are seeking an experienced web scraper to assist us in extracting email addresses from a specified list of websites. Your task will involve crawling each site, utilizing appropriate tools and techniques to gather email addresses linked to the provided names. Attention to detail is crucial, as accuracy in the collected data is paramount. The ideal candidate should have experience with web scraping and data extraction processes, and be proficient in handling different website structures.

Skills: Data Scraping, Data Mining, Data Entry

I have some scanned PDF with multiple pages of text data that need to be converted into Word and Excel spreadsheet. Since the texts in the PDF are complex and not easily extractable through basic tools, this task requires manual data extraction and accurate entry into Excel.

Carefully examine both the scanned pages of the PDF to understand the file structure and extract the data accurately.

There's a potential of long term contract upon checking the performance of initial project.

Thank you.

Skills: PDF Conversion, Data Entry, Microsoft Word, Accuracy Verification, Typing, Microsoft Excel, Microsoft Office, Google Docs, Virtual Assistance

review charts for correct CPT codes and billing purposes

Skills: Medical Informatics, Healthcare Common Procedure Coding System, Virtual Assistance, Electronic Medical Record, Medical Report, Data Extraction, Blog Content, Medical Procedure Coding, Medical Transcription, ICD Coding, Medical Billing & Coding, Medical Condition Coding, Medical Records Software

We are seeking an experienced SSIS Developer to join our team. The ideal candidate will have expertise in designing, developing, and implementing ETL processes using SQL Server Integration Services (SSIS). They will be designing and writing data extraction, transformation, and loading (ETL) operations, ensuring data integrity, and collaborating with various teams to meet business requirements.

Key Responsibilities
Develop ETL Processes: Design, implement, and optimize ETL solutions using SSIS to support business data needs.
SQL Server Agent: Schedule, monitor, and troubleshoot SQL Server Agent jobs to automate recurring tasks.
Performance Tuning: Optimize SSIS packages and SQL queries for performance and reliability.
Data Analysis and Reporting: Collaborate with business analysts and stakeholders to understand data requirements and provide solutions.
Error Handling and Debugging: Identify and resolve issues in SSIS packages and SQL Server processes.
Documentation: Maintain clear and concise documentation for ETL processes, workflows, and best practices.
Collaboration: Work closely with other developers, DBAs, and business teams to ensure data integration aligns with company goals.
Qualifications
Proficient in SQL Server Integration Services (SSIS).
Strong experience with SQL Server and T-SQL (stored procedures, functions, and triggers).
Familiarity with SQL Server Agent for job scheduling and monitoring.
Knowledge of ETL best practices and data warehouse concepts.
Experience in debugging and optimizing ETL pipelines.
Professional Experience:
Preferred Qualifications
Experience with cloud platforms (Azure, AWS) for data integration.
Knowledge of source control systems such as Bitbucket.
Understanding of Agile methodologies.

Skills: SQL Server Integration Services, SQL, ETL, Microsoft SQL Server Reporting Services

Division-wise and city-wise projects are to be scrapped from the website (Link given Above). Multiple data fields like contact numbers email ids project name etc (About 25+ fields) should be extracted.

Skills: Data Scraping, Data Mining, Data Extraction, Web Crawling, Python, PHP, Scrapy

Project: Automated Lucky Jet Game Data Analysis and Notification System
Objective:
To develop a Python script that monitors the Lucky Jet game, tracks specific in-game events, and sends automated notifications via Telegram when predetermined conditions are met.
Specific Requirements:
* Data Extraction and Processing:
* Data Source: The script should either extract data from the Lucky Jet game interface (web scraping) to obtain real-time game data.
* Data Storage: Collected data should be stored efficiently for analysis and future reference.
* Relevant Data: The primary data point to track is the multiplier achieved in each game round.
* Event Monitoring and Trigger:
* Condition: The script will continuously monitor the sequence of multipliers.
* Trigger: When the multiplier fails to reach 3x for 12 consecutive rounds, a notification should be generated.
* Telegram Integration:
* Bot Setup: A Telegram bot will be configured to send notifications.
* Channel/User: Notifications can be directed to a specific Telegram channel or individual user.
* Message Content: The notification should clearly indicate the trigger event (e.g., "12 consecutive rounds without a 3x multiplier").
* Automation:
* Scheduling: The script should run continuously or at predefined intervals to ensure real-time monitoring.
* Reliability: Mechanisms should be in place to handle potential errors or interruptions and resume monitoring.
Technical Skills Required:
* Python Programming: Proficiency in Python, including libraries like requests for web scraping, BeautifulSoup4 for HTML parsing, pandas for data manipulation, and python-telegram-bot for interacting with the Telegram API.
* Web Scraping: Experience in extracting data from websites.
* Data Analysis: Basic understanding of data analysis concepts for tracking sequences and patterns.
* Telegram Bot Development: Knowledge of setting up and interacting with Telegram bots.
Deliverables:
* Python Script: A well-structured and commented Python script implementing the specified functionality.
* Telegram Bot: A fully functional Telegram bot integrated with the script.
* Documentation: Clear instructions on how to set up, configure, and run the script, including any dependencies or requirements.
* Data Storage: A clear plan for storing the extracted game data (e.g., CSV, database).
Additional Considerations:
* Error Handling: Implement robust error handling to prevent script failures.
* Efficiency: Optimize the script for performance, especially if dealing with large datasets or frequent updates.
* Scalability: Design the script to handle potential increases in data volume or complexity.
* Security: If dealing with sensitive information, ensure appropriate security measures are in place.
Why this expansion?
* Clarity: Provides more specific details about the tasks involved.
* Completeness: Covers potential edge cases and technical considerations.
* Scalability: Anticipates future requirements and allows for customization.

Skills: Python, Web Scraping, Scripting, Data Analysis

Project Description
I am looking for a professional with expertise in Power Automate to help me extract data from two sources: an auction website and a real estate website (Zillow or Realtor.com). The final output should be an Excel spreadsheet containing the extracted data as described below.
Key Tasks:
1. Auction Website (Grey Columns)
o Extract all the data from the grey columns (as per the attached example) on the Atlantic County and Cape May County auction websites.
o The data should be saved in an Excel spreadsheet. Each county’s data should be saved on a separate tab or a separate file.
2. Real Estate Website (Purple Columns)
o For each property listed on the auction website, match its address with the details available on either Zillow or Realtor.com.
o Extract all the columns in purple (as per the attached example) and add this data into the same spreadsheet under corresponding rows.
3. Preserve Notes in Red Column
o Include a column for notes (in red) where I can write information about specific properties.
o When the script is run again, these notes should stay attached to the relevant property, even if the rows are shuffled or if new rows are added.
o This can be achieved by using a unique identifier (e.g., Case Number or Address).
Requirements:
• The script should allow me to run it manually whenever needed. No fixed scheduling is required.
• Provide instructions or a demo on how to run the script on my own.
• Ensure data accuracy and properly organize the Excel output.
Links:
• Auction Website (Atlantic County): https://salesweb.civilview.com/Sales/SalesSearch?countyId=25
• Auction Website (Cape May County): https://salesweb.civilview.com/Sales/SalesSearch?countyId=52
• Zillow Example Link: https://www.zillow.com/homedetails/111-Douglas-Ave-Egg-Harbor-Township-NJ-08234/2064892549_zpid/?view=public
Ideal Candidate:
• Strong proficiency in Power Automate.
• Experience with data extraction from websites, including handling dynamic elements like pagination.
• Advanced Excel skills to properly format and organize data.
Budget & Timeline:
• Budget: 15 usd, as we are a startup company.
• Deadline: 1-2 days max.
This is an initial version of a much larger project, so successful completion could lead to more opportunities.

Skills: Excel Formula, Microsoft Power Automate

Project Description
I am looking for a professional with expertise in Power Automate to help me extract data from two sources: an auction website and a real estate website (Zillow or Realtor.com). The final output should be an Excel spreadsheet containing the extracted data as described below.
Key Tasks:
Auction Website (Grey Columns)
Extract all the data from the grey columns (as per the attached example) on the Atlantic County and Cape May County auction websites.
The data should be saved in an Excel spreadsheet. Each county’s data should be saved on a separate tab or a separate file.
Real Estate Website (Purple Columns)
For each property listed on the auction website, match its address with the details available on either Zillow or Realtor.com.
Extract all the columns in purple (as per the attached example) and add this data into the same spreadsheet under corresponding rows.
Preserve Notes in Red Column
Include a column for notes (in red) where I can write information about specific properties.
When the script is run again, these notes should stay attached to the relevant property, even if the rows are shuffled or if new rows are added.
This can be achieved by using a unique identifier (e.g., Case Number or Address).
Requirements:
The script should allow me to run it manually whenever needed. No fixed scheduling is required.
Provide instructions or a demo on how to run the script on my own.
Ensure data accuracy and properly organize the Excel output.
Links:
Auction Website (Atlantic County): https://salesweb.civilview.com/Sales/SalesSearch?countyId=25
Auction Website (Cape May County): https://salesweb.civilview.com/Sales/SalesSearch?countyId=52
Zillow Example Link: https://www.zillow.com/homedetails/111-Douglas-Ave-Egg-Harbor-Township-NJ-08234/2064892549_zpid/?view=public
Ideal Candidate:
Strong proficiency in Power Automate.
Experience with data extraction from websites, including handling dynamic elements like pagination.
Advanced Excel skills to properly format and organize data.
Budget & Timeline:
Budget: 30 usd, as we are a startup company.
Deadline: 1-2 days max.
This is an initial version of a much larger project, so successful completion could lead to more opportunities.

Skills: Web Scraping, Data Mining, PowerApps, Power Automate

We are seeking a skilled data scraper to extract county permit data on a mass scale. The ideal candidate will have experience with web scraping, data extraction, and handling large datasets. Your role will involve identifying the right sources, developing scraping scripts, and cleaning the data for analysis. Attention to detail and the ability to work independently are crucial. If you're passionate about data and have the technical skills to back it up, we want to hear from you!

**Relevant Skills:**
- Web Scraping
- Data Extraction
- Python or JavaScript
- Data Cleaning
- API Integration
- Attention to Detail

Skills: Data Scraping, Microsoft Excel, Data Mining, Data Entry

I want to scrape real estate market data related to the 'Localities' from the Housing.com website. Data should include the following fields.
1) City name
2) Locality name
3) BHK detail (1RK/ 1BHK/ 2BHK/ 3BHK…)
4) Locality rating
5) Last one year price appreciation (for that locality)
6) Avg Price/ Sqft (Average price per square feet)
7) Y-o-Y (Year on Year Price appreciation)
8) Price range / Sqft (Price range per square feet)
9) Average Rent
10) Y-o-Y (Year on Year Rent appreciation)
11) Price Range (For Rent)

Will guide you for more details.

Skills: Data Scraping, Data Entry, Lead Generation, Data Extraction, Data Mining

I need assistance extracting and organizing emails and text messages from my devices.

Requirements:
- Data extraction from my smartphone and laptop
- Both emails and text messages need to be included
- Extract data from Gmail, Outlook, and Hotmail

Ideal skills:
- Experience with data extraction
- Familiarity with iOS and Windows
- Knowledge of Gmail, Outlook, and Hotmail
- Strong organizational skills to arrange data chronologically

Skills: Data Processing, Data Entry, Microsoft Access, Word, Copy Typing

We are seeking a skilled web scraper to extract data from an online database for our research project. The ideal candidate will have experience in data scraping and will be able to gather and organize large volumes of information efficiently.

The project involves working with web scraping tools and ensuring data accuracy. If you have a proven track record in similar projects and are familiar with various scraping techniques, we would love to hear from you.

Skills: Data Scraping, Scrapy, Data Extraction, Data Mining

We are seeking a skilled freelancer to assist us in scraping Instagram profiles of micro-influencers to gather contact emails based on specific regions or categories. The ideal candidate should be familiar with web scraping tools and techniques, and have experience working with social media data. This project requires attention to detail and the ability to deliver accurate results in a timely manner. If you have expertise in data extraction and a passion for social media analytics, we would love to hear from you!

**Relevant Skills:**
- Web Scraping
- Data Extraction
- Social Media Analytics
- Python/R/JavaScript (or relevant tools)
- Attention to Detail
- Email Verification

Skills: Lead Generation, Data Scraping, Social Media Marketing, Python, Instagram

Job Title: Experienced Loan Processor for Hard Money Mortgages (Fix & Flip, Bridge, Construction, DSCR Loans)

Description:
We are seeking a highly skilled and experienced Loan Processor with expertise in hard money mortgages specializing in fix and flip loans, bridge, construction loans, and DSCR loans in the residential mortgage space. The ideal candidate will have a proven track record in efficiently managing and processing loans, ensuring seamless communication with clients, and delivering exceptional results in a fast-paced environment.

Key Responsibilities:
Process hard money loans with a focus on fix and flip, construction, bridge, and DSCR loans.

Perform underwriting tasks, including profitability checks, borrower experience validation, appraisal reviews, credit analysis, and liquidity calculations.

Conduct thorough title and insurance reviews to ensure compliance and accuracy.

Manage the loan lifecycle from submission to closing, ensuring smooth workflows and timely delivery.

Communicate effectively with clients, investors, and team members to maintain transparency and trust.

Work with institutional lenders (e.g., Toorak, Kiavi, RCN, Dominion, ROC) to prepare executive summaries and present funded deals.

Execute CRM management and utilize systems such as Pipedrive, Lendingwise.

Key Qualifications:
Minimum of 5 years of experience in loan processing, with a strong emphasis on hard money lending.

Expertise in handling fix and flip, rehab, bridge, and DSCR loans.

Comprehensive knowledge of loan origination, underwriting, and closing processes.

Strong understanding of title searches, escrow analysis, foreclosure searches, and appraisal reviews.

Exceptional organizational skills and ability to manage multiple loans simultaneously.

Excellent communication and client relationship management skills.

Preferred Experience:
Familiarity with lenders like Toorak, Kiavi, RCN, ROC, and Temple View Capital.

Background in data extraction/data mining for loan analysis and reporting.

Experience in loan modification underwriting and closing is a plus.

If you have a proven history of successfully navigating the complex world of hard money loans and are looking to contribute your skills to a dynamic team, we want to hear from you!

How to Apply:
Submit your resume along with a brief description of your experience in hard money lending and the loan types you have processed. Include specific examples of past successes in loan processing or underwriting.

Join us and bring your expertise to our team, where your skills will make a significant impact in the residential mortgage industry!

Skills: Real Estate, Data Entry, Real Estate Appraisal, Underwriting, Commercial Lending, Microsoft Excel

We are seeking a meticulous Lead Generation Specialist to assist with data collection and organization within the UK home improvement industry. The ideal candidate will be skilled in both automated software tools and manual research methods to extract accurate contact details and organize data effectively.


Key Responsibilities:

Organize and clean data provided in a Google spreadsheet, including business owner names, phone numbers, emails, and social media profiles.
Use Google, Facebook, Instagram, and relevant software tools to identify businesses in the home improvement niche and compile accurate contact details.
Gather additional business details, such as website URLs, physical addresses, and the presence on social media (Facebook/Instagram handles).
Sort businesses based on location, number of employees, and customer reviews.
Manually verify the accuracy of extracted data, ensuring phone numbers, emails, and social media profiles are up-to-date.
Ensure businesses with multiple positive reviews and higher employee counts are identified and prioritized.
Maintain a high level of data integrity and quality throughout the process.



Requirements:

Proven experience in lead generation, data extraction, and research.
Familiarity with using online tools for data extraction and manual verification.
Strong attention to detail and a commitment to delivering accurate results.
Excellent web research skills, particularly in the home improvement space.
Ability to work independently, manage time effectively, and meet deadlines.
Strong written communication skills.


To Apply:

Please submit the following with your application:

Your Upwork profile link.
Include the word "blue" in your cover letter to demonstrate attention to detail.
A brief explanation of why you are the best fit for this role.

Skills: Lead Generation, Data Scraping, Market Research, List Building, Prospect List

We are seeking a skilled freelancer to utilize Phantom Buster to extract and compile lists of Facebook groups for targeted marketing campaigns. The ideal candidate will be proficient in navigating Facebook and Phantom Buster, ensuring accurate data extraction and organization. You will play a crucial role in identifying relevant groups that align with our marketing goals. If you have experience with automated data scraping tools and a knack for social media marketing, we would love to hear from you!

Skills: Facebook, Social Media Marketing, Lead Generation, Marketing Strategy

We are seeking a skilled developer to create an email reader that extracts key information from order emails. The reader should efficiently identify and pull out details such as customer names, product information, quantities ordered, and any special comments. This tool will be crucial in streamlining our order processing and enhancing data accuracy. If you have experience in email parsing and data extraction, we would love to hear from you!

Skills: Data Entry, Microsoft Excel, JavaScript, HTML

I'm looking for a professional with expertise in Power Automate to help me extract data from an auction website and a housing website. The final output should be an Excel spreadsheet. See attached example

Key Tasks:
- Extract all columns in grey data from the Atlantic County auction website into an Excel spreadsheet.
- Extract all columns in purple from either Zillow or Realtor.com into the same spreadsheet.

Links:
- Auction Site: https://salesweb.civilview.com/Sales/SalesSearch?countyId=25
- Zillow Site: https://www.zillow.com/homedetails/111-Douglas-Ave-Egg-Harbor-Township-NJ-08234/2064892549_zpid/?view=public

The ideal freelancer for this job should have:
- Proficiency in Power Automate
- Experience with data extraction from websites
- Advanced Excel skills

Please note that I would like to run the script at my own discretion, rather than on a fixed schedule.

Offering $125 for initial basic version as test. More versions to come.

Skills: Data Entry, Excel, Web Scraping, Web Search, Data Mining

Quick Case Law Extraction Tool Using OpenAI GPT API
Project Overview
The goal is to create a quick and simple script to extract and organize key details from legal case PDFs obtained via CanLII links. By leveraging OpenAI’s GPT API for text parsing and summarization, the solution will process up to 10 PDFs at a time and provide structured results within 1-2 hours of setup and deployment.
Objective
To rapidly build a lightweight tool that:
• 1. Extracts key information from CanLII PDF files.
• 2. Processes and organizes the extracted data into a structured format.
• 3. Outputs the results in a clear and easy-to-understand format for immediate use.
Key Features
1. Batch Processing:
• - Input up to 10 CanLII PDF links.
• - Automatically download the PDFs, extract text, and analyze content.
2. Text Summarization with OpenAI GPT:
• - Use GPT API to identify and summarize key sections:
- Case Name
- Year and Court
- Facts
- Issues
- Rulings
- Outcomes
- Key Laws or Rules Mentioned
3. Simple Output:
• - Display extracted data in a basic table or text format.
• - Option to save the results to a local file (e.g., CSV or JSON).


Required Skill Sets:

Python Programming:

Proficiency in Python for scripting and automation tasks.
PDF Processing:

Experience with libraries such as PyPDF2 or pdfplumber to extract text from PDF files.
API Integration:

Ability to integrate and interact with APIs, specifically the OpenAI GPT API.
Data Parsing and Organization:

Skills in processing and structuring extracted data into organized formats like CSV or JSON.
Basic Understanding of Legal Documents (Optional but Beneficial):

Familiarity with legal terminology and document structures to accurately identify and extract relevant information.

Skills: Web Scraping, PDF, Data Scraping, OpenAI, ChatGPT

Quick Case Law Extraction Tool Using OpenAI GPT API
Project Overview
The goal is to create a quick and simple script to extract and organize key details from legal case PDFs obtained via CanLII links. By leveraging OpenAI’s GPT API for text parsing and summarization, the solution will process up to 10 PDFs at a time and provide structured results within 1-2 hours of setup and deployment.
Objective
To rapidly build a lightweight tool that:
• 1. Extracts key information from CanLII PDF files.
• 2. Processes and organizes the extracted data into a structured format.
• 3. Outputs the results in a clear and easy-to-understand format for immediate use.
Key Features
1. Batch Processing:
• - Input up to 10 CanLII PDF links.
• - Automatically download the PDFs, extract text, and analyze content.
2. Text Summarization with OpenAI GPT:
• - Use GPT API to identify and summarize key sections:
- Case Name
- Year and Court
- Facts
- Issues
- Rulings
- Outcomes
- Key Laws or Rules Mentioned
3. Simple Output:
• - Display extracted data in a basic table or text format.
• - Option to save the results to a local file (e.g., CSV or JSON).


Required Skill Sets:

Python Programming:

Proficiency in Python for scripting and automation tasks.
PDF Processing:

Experience with libraries such as PyPDF2 or pdfplumber to extract text from PDF files.
API Integration:

Ability to integrate and interact with APIs, specifically the OpenAI GPT API.
Data Parsing and Organization:

Skills in processing and structuring extracted data into organized formats like CSV or JSON.
Basic Understanding of Legal Documents (Optional but Beneficial):

Familiarity with legal terminology and document structures to accurately identify and extract relevant information.

Skills: Web Scraping, PDF, Data Scraping, OpenAI, ChatGPT

We are seeking a skilled Python developer to create two web scrapers based on a specific format. You will be provided with sample scraper code that I have written as a guideline. The ideal candidate should have experience in web scraping and be able to adhere to the provided structure while ensuring efficiency and accuracy in data extraction. If you are passionate about Python and have a keen eye for detail, we would love to hear from you!

Skills: Python, Data Scraping, Python Script, Data Mining

We are looking for a detail-oriented freelancer experienced in automation, product data management, and e-commerce platforms like PrestaShop and eBay.

The goal is to streamline the process of extracting product information from photos, organizing data into CSV files, and importing it into PrestaShop and eBay efficiently.

Project Scope

1. Extraction of Information from Product Photos with chatGPT
• Extract the following details from product photos:
• Manufacturer name
• Product reference
• Weight
• Dimensions
• Item condition
• Appropriate eBay category
• Generate an organized product title in the format:
MANUFACTURER NAME – PRODUCT REFERENCE – PRODUCT TYPE

2. Creation of a CSV File
• Organize the extracted data into the correct columns.
• Include the URL of each photo in the CSV file.

3. Import to PrestaShop (via API) for Product Listing Creation
• Map fields accurately to match PrestaShop requirements.
• Categorize products based on weight.
• Assign products to the appropriate PrestaShop category.
• Ensure the company logo photo is always included in the product listing.

End of Automation #1
This step will require a user review to verify data accuracy.

4. Import Product Listings to eBay
• Map fields correctly for eBay compatibility.
• Match PrestaShop product categories with eBay categories.
• Default eBay listings should include:
• Company logo photo
• Standard conditions for the item, such as:
• Manufacturer name and address
• Contact details of the responsible person

Start of Automation #2

Skills Required
• Expertise in automation tools or scripting for data extraction.
• Proficiency in creating and managing CSV files.
• Experience with PrestaShop and eBay integration.
• Attention to detail for field mapping and categorization.
• Strong organizational skills to ensure data integrity.

If you have experience in automating these types of workflows and are ready to help optimize our process, we would love to hear from you!

We are seeking a skilled developer to create a simple program that extracts specific information from PDF files and populates it into an Excel spreadsheet. The ideal candidate should have experience with PDF parsing libraries and Excel file handling. This task involves understanding the structure of the input PDF and accurately mapping the data to the desired output format. Attention to detail and testing the program for accuracy is crucial. If you have a proven track record in similar projects, we would love to hear from you!

Skills: Microsoft Excel, Data Entry, Data Extraction, Spreadsheet Software, Data Scraping

Focus on documenting processes and managing data migration during a system transition. Prior experience with data mapping, validation, and governance is key, along with familiarity with HubSpot and Chargebee. This is a freelance role, offering flexibility and the opportunity to work on a high-impact project.

Responsibilities:
- Document processes and workflows to support the transition to applications like HubSpot and Chargebee.
- Support and oversee the migration of data during the transition, ensuring accuracy and data integrity.
- Identify data-related challenges, including discrepancies, redundancies, and optimization opportunities, during the migration process.
- Support in data governance and management in collaboration with technical teams.
- Support data mapping and validation efforts to ensure seamless integration across platforms.

Preferred Qualifications:
- Prior experience in Business Analytics is required,
- Experience in data management, migration, or governance, particularly in system transitions.
- Knowledge of tools and platforms like HubSpot and Chargebee.
- Strong analytical skills to evaluate data quality and recommend improvements.
- Familiarity with financial services workflows and data frameworks.
- Exceptional attention to detail and ability to work independently.

Skills: Data Processing, Data Extraction, Business Analysis, Data Analysis, Business Intelligence, HubSpot, chargebee

Title: Development of a Custom GPT Model for Municipal Heat Planning Based on PDF Data

Description:
We are seeking an experienced developer or team to create a GPT-based model specifically tailored to extract and process information from 100 PDFs (approximately 100 pages each, mostly reports related to municipal heat planning). The goal is to retrieve relevant information efficiently and provide precise, data-driven answers to targeted queries.

Requirements:

Data Extraction:

Extract text, tables, and relevant content from the PDFs.
Clean and structure the extracted data (e.g., JSON, CSV, or a database format).
Integration and Processing:

Convert data into embeddings using tools like LangChain, Pinecone, FAISS, or similar solutions.
Integrate the database with a GPT model for seamless interaction.
Model Customization:

Fine-tune an existing GPT model (e.g., GPT-4 or LLaMA) using the processed data.
Ensure the model can respond accurately to domain-specific questions (e.g., “What technologies are suitable for municipal heating networks?”).
Deployment:

Develop a user-friendly interface (e.g., a web application using Streamlit or Gradio).
Provide options for integrating the solution into existing systems.
Additional Requirements:

Compliance with data privacy and security standards.
Documentation of the solution and transfer for internal use.
Expected Deliverables:

A fully functional GPT model capable of providing precise answers related to municipal heat planning.
A web-based interface for inputting questions and displaying results.
Prerequisites:

Proven experience with NLP, AI models, and databases.
Expertise in PDF data extraction and processing.
Familiarity with tools like OpenAI API, LangChain, or similar frameworks.
Timeline:
The project must be completed within 6-8 weeks. A prototype should be available after 4 weeks.

Budget:
Please provide a detailed cost estimate based on your experience and the scope of the project.

Contact:
Include examples of similar projects you have worked on and a brief description of your approach.

The extracted data should be cleaned and structured in JSON format. The GPT model should have moderate accuracy tailored to specific needs. Basic query input for specific queries related to the team's data. End-users will have access to basic query input for targeted information retrieval. JSON The web interface should include basic input fields for user queries. The web interface should include data visualization tools such as charts and graphs for better analysis. The web interface should include advanced query filters for precise data extraction. The GPT model should generate detailed summary reports based on user queries. Advanced query filters to enable precise and efficient searches within the data.

Skills: Data Processing, Data Entry, Excel, PDF

I am a wound care company doing a research / marketing project.
I am seeking a programmer with experience in data scraping and web automation to extract approximately 1,000 records from a website and compile them into a well-organized spreadsheet. The completed spreadsheet should be delivered in a clear, structured format. This task requires technical proficiency with data scraping tools or equivalent methods. The job should take 1-2 hours for someone skilled in this area. Prior experience with similar tasks is essential.

Skills: Data Scraping, Python, Microsoft Excel, Data Extraction

I am looking for an experienced professional or organization to help me download and organize the content from a SaaS website where I currently have a free trial. The platform contains valuable resources like a course library, email templates, and other materials that I need for offline use.

Key responsibilities include:

Accessing the SaaS platform using the free trial account provided.

Downloading and organizing all available content, such as courses, email templates, and other resources, while maintaining the original structure and quality.

Delivering the data in an organized and accessible format (e.g., categorized folders, readable file formats).
Requirements:

Proven experience in web scraping, data extraction, or similar projects.
Strong attention to detail to ensure all materials are captured accurately.
Understanding of ethical and legal considerations regarding data extraction.

Note: This project is for personal use, and the content will not be redistributed or used in violation of the SaaS platform's terms of service.

If you have the skills and experience to take on this task, please submit your proposal, including relevant examples of past work and an estimated timeline for completion.

Skills: Data Extraction

I'm looking for someone who can extract text from PDF files for content migration.

The extracted text should be in plain text format. The project involves extracting text from 11-50 PDF files. Some of the PDF files include tables that need to be formatted. The text extraction should be highly accurate with minimal errors. Tables should be extracted and converted to Markdown format. The project needs to be completed within 2 weeks. The source PDF files have mixed formats including images and text. Please handle mixed formats by prioritizing text extraction first, followed by images. Extract and save images separately. The PDF files are research papers requiring accurate text and table extraction.

Skills: Data Processing, Data Entry, Virtual Assistant, Database Administration

I'm looking for someone who can extract text from PDF files for content migration.

The extracted text should be in plain text format. The project involves extracting text from 11-50 PDF files. Some of the PDF files include tables that need to be formatted. The text extraction should be highly accurate with minimal errors. Tables should be extracted and converted to Markdown format. The project needs to be completed within 2 weeks. The source PDF files have mixed formats including images and text. Please handle mixed formats by prioritizing text extraction first, followed by images. Extract and save images separately. The PDF files are research papers requiring accurate text and table extraction.

Skills: Data Processing, Data Entry, Virtual Assistant, Database Administration

We are seeking an experienced Web Crawler developer to extract detailed information from a couple of specified websites. The ideal candidate will have a strong background in web scraping technologies and be able to deliver accurate and clean data efficiently. Responsibilities include developing the crawler, ensuring compliance with website terms of service, and handling any CAPTCHAs or other obstacle mechanisms. If you are proficient in data extraction and have experience working with various web platforms, we would love to hear from you!

Skills: Data Scraping, Python, Scrapy, Data Mining, Web Crawling, Data Extraction, Import.io