Data Scraping Projects on Vollna

I have a vibe coded app, I need someone to look at the code and refine it to make it production ready.

As part of the feature, I need a script that scrapes 5 websites data, pull's that data onto a backend database, and auto-updates the app hourly with the data.

I’m looking to pull together a complete, accurate data set for every product in my catalogue. For each SKU I need a clear description along with a full pricing breakdown—cost price, selling price, and any discount rates we apply.

The information must arrive cleanly organised in a spreadsheet or database that I can import straight into my systems, with consistent formatting across all fields. If you’re used to working with product information management, e-commerce catalogues, or data scraping tools, this should be right in your wheelhouse.

Deliverables
• A CSV or XLSX file containing columns for Product Name, SKU, Description, Cost Price, Selling Price, and Discount Rate
• Source notes or citations for where each data point came from (if research is involved)

Accuracy and completeness are critical; I’ll review the file for missing fields, formatting consistency, and pricing correctness before signing off. Please tell me how you plan to gather the data, how long it will take, and share any relevant experience when you place your bid.

Skills: Data Processing, Data Entry, Market Research, Data Scraping, Data Analysis, Data Governance, Database Management, Data Collection, Data Management, Product Development

Project Overview

We operate a live Python/Selenium inmate alert platform used by bail bond companies for real-time jail booking notifications.

The platform is already operational and actively used by paying customers.

We are NOT looking for a rebuild.

We are specifically seeking an engineer experienced with:

Selenium
ChromeDriver
undetected_chromedriver
Linux VPS environments
long-running browser automation stability
Current Issue

We are experiencing intermittent scraper instability related to:

ChromeDriver session crashes
Selenium browser disconnects
orphaned Chrome processes
incomplete scrape cycles
“connection refused” browser errors
browser/session recovery loops
occasional delayed or missed records during failed cycles

The system itself works, but long-running Chrome/Selenium stability is degrading over time.

Stack
Python 3.12
Selenium
undetected_chromedriver
Ubuntu VPS
systemd services
Chrome + ChromeDriver
Django backend
What We Need

We are specifically looking for someone who can:

stabilize ChromeDriver lifecycle management
properly clean up orphaned Chrome processes
reduce Selenium session crashes
improve long-running scraper reliability
optimize browser restart/recovery handling
improve memory/process stability
inspect VPS/browser resource handling
improve scraper uptime consistency
Important

We are NOT looking for:

a full rebuild
architecture redesign
migration to another framework
generic “web scraping” experience only

We need someone experienced with:

production Selenium systems
Linux VPS automation environments
Chrome/ChromeDriver stability
long-running browser workers
Current Goal

Primary immediate objective:

stabilize Sedgwick County scraper reliability
eliminate browser/session crashes
prevent incomplete scrape cycles
improve consistency of live inmate alerts
To Apply

Please include:

examples of Selenium stabilization work
ChromeDriver lifecycle/process management experience
Linux VPS automation experience
experience debugging long-running Selenium systems
your proposed approach to stabilizing Chrome/Selenium environments

We’re looking for a detail-oriented lead generation specialist to help us build a targeted list of companies and verified professional contacts across the United States. Your role will include researching companies, identifying key decision-makers (HR managers, office managers, people operations, benefits coordinators, etc.), and finding accurate business emails.

Requirements:

* Experience with lead generation and B2B research
* Ability to find verified work emails
* Familiarity with tools like Apollo, Hunter, LinkedIn, Crunchbase, Google Maps, company websites, etc.
* Organized spreadsheet delivery (Google Sheets or Excel)

Project Scope:

* 500+ company leads
* Companies located across the United States
* Small to medium-sized businesses (roughly 50–500 employees)
* Include: company name, website, decision-maker name, title, verified email, LinkedIn profile, industry, employee count, and location

We value accuracy and verified data. Please mention your experience with lead generation, the tools you use, and how you verify emails before delivery.

I have had two freelancers re work this. They worked for about a year. Now they do not work at all. My last freelancer said he can not make it work because the website I am using has blocked his bot or IP address from his country. He said he would be working on it but he has not responded to me in over 2 months now.
I need someone to be able to scrape data from a website that I use weekly. Transfer the data from the website to my Google Sheets on a weekly basis fully automated for all the sheets. I have weekly sheets, I have a summary sheet is a tally of the numbers for the entire year. I have a commission sheet. I have earnings sheet. A majority of the sheets are simple adding and subtraction. I have one sheet that is a percentage formula.

We're hiring for a lead research and contact enrichment project based in the United States. Building a referral partner network for a California-based construction advisory firm serving homeowners associations.

Scope: ~250 role-specific contacts enriched across three segments — reserve study firms, construction defect / HOA attorneys, and boutique property management firms — all California-based.

For each contact we need: name, title, firm, verified work email, LinkedIn URL, direct phone where available, U.S. city + state.
Role-specific filtering required. We're not building a sales prospect list — we need the right functional role at each firm (not just "first decision-maker found"). Full role spec shared after initial conversation.

Quality bar:
1. Email deliverability verified through a dedicated verification tool (NeverBounce, ZeroBounce, Bouncer, etc.) — not just sourcing tool confidence
2. Direct phone separated from main switchboard where possible
3. Many targets are 5-15 person specialty firms not well-covered by Apollo — fallback sources matter (RocketReach, Hunter, LinkedIn Sales Navigator, manual firm-website research)

Engagement structure:
1. Initial 250-record batch (this posting)
2. If quality delivers, additional batches every 30 days through Q3 — potentially 600-800 total records over 4 months
3. Paid sample of 10 records before full project commitment

To bid, please include:
A. Your tool stack for sourcing AND for verification (treat as separate steps)
B. Approach when Apollo doesn't cover the contact (small-firm fallback methodology)
C. Estimated turnaround for 250 records
D. USD price for the initial 250-record batch
E. One example of similar role-specific filtering work, redacted if needed

Generic bids without these elements will not be considered.

• List 2-3 specific tools you use for email deliverability verification (separate from your sourcing tool).
• When Apollo doesn't have a contact at a 10-person specialty firm, what's your first fallback? Describe a specific recent example if you can.
• What's your honest accuracy rate on verified direct phone numbers (not switchboard) — and what do you do when you can't verify?

We are seeking a skilled freelancer to develop a VBA script using Selenium for web scraping on an e-commerce website. The task involves extracting product data such as names, pictures, specifications, descriptions, and prices. The ideal candidate should have experience in web scraping and be able to handle Chrome browser automation. This project requires attention to detail and the ability to deliver accurate data.

I need an Excel database of at least 5,000 GDPR-compliant contacts drawn from design-led and tech-oriented companies across the South West of the UK. The sectors I’m focusing on include architecture, engineering, CAD, creative and media agencies, video and games studios, software houses, cybersecurity firms, and data specialists.

My current preference is data gathered directly from company websites rather than from public directories or third-party industry databases; this will help ensure both accuracy and compliance. I’ll confirm the exact counties and localities shortly, but everything must fall within the South West of England region.

Minimum information per row:
• Company name
• Direct email address suitable for B2B outreach (no info@ or sales@ unless that is the only public GDPR-permitted address)

Delivery expectations:
• One Excel file, cleanly structured and ready for immediate mail-merge use
• At least 5,000 unique, non-duplicated records meeting the industry and geography criteria
• A brief note describing your collection method to demonstrate GDPR compliance (lawful basis, public availability, and time of capture)

I’ll review a 200-row sample first; once approved, you can complete the full list.

Skills: Data Processing, Data Entry, Excel, Leads, Web Search, Database Development, Data Scraping, Data Analysis, Data Collection, Data Management

Web Scraping Project

Overview
I'm looking for an experienced developer to build a production-grade web scraping system with automated database storage. The scraper will run every 6 hours to collect and store large volumes of data on our Ubuntu VPS. This is a one-time setup project, but the system will need to be reliable and scalable for ongoing use.

We need the developer to evaluate PostgreSQL vs MongoDB and recommend the best solution based on performance, data structure, and scalability for our large dataset.

Project Details

What We Need
- Extract data from specific website
- Parse and clean the collected data
- Set up a database on our VPS to store the scraped data
- Configure automated data updates and storage
- Ensure the scraping complies with the website's terms of service and robots.txt
- Provide documentation for database structure and data access

Technical Requirements
- Proven experience with web scraping frameworks (Python BeautifulSoup, Scrapy, Selenium, etc.)
- **Database design and setup** (MySQL, PostgreSQL, MongoDB, etc.)
- VPS experience (Linux server management, SSH access, deployment)
- Understanding of HTML/CSS and DOM navigation
- Experience handling dynamic content or JavaScript-rendered pages (if applicable)
- Ability to work around basic anti-scraping measures
- Knowledge of APIs as an alternative where available

Scope of Work

Deliverables
1. **Scraper Script**: Production-ready code deployed on the VPS
2. **Database Setup**: Complete database schema and configuration on your VPS
3. **Data Pipeline**: Automated scraping and data insertion into the database
4. **Documentation**: Database schema, access instructions, and maintenance guidelines
5. **VPS Configuration**: Server setup details and any necessary cron jobs/schedulers
6. **Quality Assurance**: Data validation and sample verification

What's Included
- Data extraction from [**number of pages/items**] every 6 hours
- Database design optimized for large-scale storage and fast queries
- Automatic scheduling with cron jobs or similar scheduler
- Data indexing and query optimization
- Duplicate detection and data deduplication
- Handling of [**specific requirements: pagination, authentication, rate limiting, etc.**]

Project Specifications

Database & VPS Requirements
- Database System: PostgreSQL or MongoDB - **Developer to recommend the best choice based on data structure and performance benchmarks**
- PostgreSQL: Powerful, structured data, excellent for large datasets
- MongoDB: NoSQL, better for unstructured/semi-structured data, faster retrieval for certain use cases
- We need a performance comparison and recommendation from the developer
- VPS Access: We will provide VPS credentials and SSH access
- Operating System: Ubuntu Linux (root/sudo access available)
- Data Volume: Large-scale data storage (hundreds of thousands to millions of records expected)
- Update Frequency: Scraper should run **every 6 hours** automatically
- Backup Requirements: [**Specify your backup preference: daily, weekly, or continuous**]

Must-Have Skills
- Intermediate Python (or similar language)
- Web scraping experience
- Data parsing and manipulation
- Problem-solving for technical obstacles

### Nice-to-Have
- Experience with headless browsers (Puppeteer, Playwright)
- Cron job scheduling and automation
- Server monitoring and logging
- Knowledge of rotating proxies or handling rate limiting
- Experience with CI/CD pipelines or automated deployment
- Previous Upwork projects with scraping + database work

Timeline & Budget
- Duration: [+ 50$ if is done on time]
- Budget: **Negotiable** (We're open to discussing rates based on scope and developer experience)

Communication & Expectations
- Clear communication via Upwork messages
- Weekly progress updates (for longer projects)
- Ability to troubleshoot and adapt to technical challenges
- Willingness to provide explanations of your approach

Application Requirements

To Apply, Please Include:
1. Examples of previous web scraping projects with database integration
2. **Your recommendation: PostgreSQL or MongoDB for this project?** Explain why based on the data type and expected query patterns
3. Your proposed architecture and estimated timeline
4. How you would optimize the database for large-scale datasets
5. Experience with scheduling tools (cron, APScheduler, etc.)
6. Any questions about the project scope or VPS environment

---

Notes for Freelancers
- We prioritize **quality over speed** — accurate data is essential
- This is a **high-volume, production-grade system** that runs 24/7 every 6 hours
- Ethical scraping practices must be followed
- Please review the website's robots.txt and terms of service
- You'll have direct access to our Ubuntu VPS for deployment and testing
- **Database performance and optimization are critical** for handling large-scale data
- The system needs to be reliable with proper error handling and logging
- If you have questions about feasibility or data structure, ask before applying

We're looking for someone experienced with large-scale data pipelines and database optimization. PostgreSQL vs MongoDB decision should be based on actual performance testing and data analysis.

Project Scope Understanding
Phase 1: The immediate goal is to enhance the generator so it produces realistic, QuickBooks Online (QBO)–importable CSV files.

Phase 2: This will involve OAuth integration with QuickBooks, data injection/tagging via the Intuit API, and reset-to-baseline functionality. I understand this is a separate phase, and I will ensure that Phase 1 is structured to integrate smoothly into it.

Proposed Approach
The current implementation is built as a single large file, which limits scalability and realism. I propose restructuring it into a modular engine, where realism is a core principle.

1. Industry Profiles (YAML-based)
Each industry (e.g., restaurant, retail, etc.) will have its own configurable YAML file containing vendors, products, pricing ranges, and transaction timing. This allows easy tuning without requiring code changes.

2. Shared Ledger System
All accounts (bank, credit card, savings) will feed into a single running ledger, ensuring transactions reconcile properly and the financial “story” remains consistent.

3. Realism Layer
Introduce:
Non-rounded, natural-looking transaction amounts
Authentic bank-feed style descriptions
Recurring transaction patterns (rent, payroll, subscriptions)

4. Balance Guard Mechanism
A safeguard to maintain realistic account balances by automatically introducing adjustments (e.g., owner deposits or expenses) when needed.

5. Scenario Engine
A configurable layer to simulate real-world irregularities such as:

Refunds
Duplicate deposits
Personal expenses
Bank fees
This can be dialed up or down depending on the dataset requirements.

6. Seed Control + Testing
Deterministic outputs using seed values (same input → same output)
Automated tests to validate accounting integrity (e.g., reconciliations, no invalid balances)
Suggested First Step (Low-Risk Approach)

Rather than implementing the full refactor upfront, I recommend starting with one industry end-to-end.

This will:
Provide a realistic sample for you to evaluate
Allow us to fine-tune the logic and realism together
Make scaling to other industries significantly faster (mostly configuration-driven)

We require skilled and experienced data scrapers who can access and extract data from corporate registries and other sources using a combination of traditional skills and AI. The project will entail writing code to scrape corporate registry data, transform, and deliver it to a data abstraction layer defined by the Sigma360 team.

To apply to this job, you need to have:

- Reliably scraped corporate registries (or similar);
- Built bulk download and transformation pipelines;
- Able to provide examples of this work (tell me what you have done);
- Speak to your capacity to parallelize this work (working on multiple projects at once)

Below and attached are a few example registries. Please speak to how you could reliably and repeatably scrape one or several of them in your response.

https://www.rp.gob.pa/
https://www.data.go.kr/data/15081808/openapi.do
https://www.moet.gov.ae/en/w/enquire-about-commercial-companies%C2%A0-licence
https://irsherkat.ssaa.ir

I need a simple Python script that does the following:

- Takes a list of URLs (from Excel or txt file)
- Opens each page and extracts specific data (titles, prices, or text - I will provide details)
- Saves the result into an Excel file

Requirements:
- Use requests + BeautifulSoup or Selenium
- Add basic error handling
- Clean and well-commented code
- Run on Windows

Budget: $15
Timeline: 1 day (max 24 hours)

Please write "Python Script" in your proposal if you can start immediately.

• Describe your recent experience with similar projects

Build Automation: Apify → Make.com → Claude AI → PlusVibe

Would like to fully automate this process -

1. Apify - I am currently scraping real estate listings in Texas.

2. Next I use ChatGPT to better organize scraped data from Apify

3. Then I verify emails and upload data to Plusvibe email campaign.

I'm a mortgage broke in Texas. My main goal is to contact realtors with listings that fit my criteria to promote my loan services. Would like this process to be fully automated.

***Please include ballpark fixed cost.


Thanks!

Build AI Lead Generation, AI Search Visibility & Lead Management System for Medspas / Cosmetic Clinics/outpatient services

We are looking for an experienced freelancer/team to build a lead generation and lead management system for medspas, cosmetic clinics, aesthetic clinics, and wellness clinics.

The goal is to help clinics:

Get discovered through Google and AI search
Capture and qualify leads
Follow up automatically
Convert more inquiries into booked consultations
Scope of Work

We need help with:

1. AI Search / GEO / AEO Visibility

Build or support a system that helps clinics become more visible in AI search engines and answer engines such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews.

This may include:

AI search visibility audit
Checking whether the clinic appears for treatment-related queries
Competitor visibility comparison
Website extractability and crawlability checks
Schema markup recommendations
FAQ/content structure for AI answer engines
Local SEO + AI search content strategy
Tracking AI mentions and citations over time
Recommendations for pages that should be created or improved

Example queries:

“Best Botox clinic near me”
“Best medspa for laser hair removal in [city]”
“Where can I get fillers in [city]?”
“Best cosmetic clinic for skin tightening”
“Medspa offering weight loss injections near me”
2. Lead Capture & CRM Setup
Landing page or form-based lead capture
Integration with Meta ads / Google ads / website forms
CRM pipeline setup for leads
Source tracking for Google, AI search, social, ads, website, and referrals
Dashboard showing lead source and conversion status
3. Automated Qualification & Follow-up
Automated lead qualification flow
WhatsApp/SMS/email follow-up automation
Lead scoring based on urgency, treatment interest, budget, and location
Appointment booking or consultation request flow
Missed lead follow-up sequences
Reactivation campaigns for old leads
Ideal System Flow
Clinic is discovered through Google, AI search, ads, social, or website
Lead lands on a page/form/chat/booking flow
Lead is captured in CRM
Automated response is sent immediately
Lead is qualified through a short question flow
Hot leads are moved to booking / consultation stage
Non-responsive leads enter follow-up sequence
Owner/team can track visibility, leads, sources, and bookings in one dashboard
Tools

We are open to recommendations, but possible tools may include:

GoHighLevel
HubSpot
Airtable
Make / Zapier / n8n
Twilio / WhatsApp API / SMS tools
Calendly / booking integrations
Meta Lead Ads / Google Ads integrations
Webflow / WordPress / landing page builders
GA4 / Google Search Console
SEO tools like Ahrefs / Semrush
AI search tracking tools or custom scripts
Requirements

The freelancer should have experience with:

CRM automation
Lead funnels
Marketing automation
SMS/WhatsApp/email workflows
API integrations
Dashboard/reporting setup
SEO / local SEO / AI search visibility
Schema markup and website crawlability
Ideally experience with medspas, clinics, healthcare, wellness, or local service businesses
Deliverables
AI search / AEO visibility audit framework
Treatment and location query tracking setup
Website AI search readiness recommendations
Working lead capture system
CRM pipeline with clear stages
Automated qualification and follow-up workflows
Booking/consultation handoff flow
Reporting dashboard
Documentation or Loom walkthrough explaining how the system works
Application Questions

Please answer:

Have you built similar lead management or CRM automation systems before?
Have you worked on SEO, local SEO, or AI search visibility before?
What tools would you recommend for this and why?
How would you design the flow from AI search / Google discovery to booked consultation?
Can you share examples of similar workflows you have built?
What would be your estimated timeline and cost?

We are looking for someone who can think through the full growth system, not just connect tools. The system should help clinics get discovered, capture demand, follow up fast, and convert more leads into booked consultations.

I'm looking for someone to perform research and build a list of prospects based on specific criteria. You will start with companies, then find contacts within those companies, and then add all of the data to HubSpot and use the Data Agent to expand the data you captured. The goal is an actionable list for an SDR to call on.

The main focus of this project is to identify and connect with cashew processing factories across key markets such as Vietnam and African countries, build relationships with decision-makers, nurture them over time, and convert them into qualified leads for CashewSoft ERP. The role involves researching and creating a detailed Cashew Industry Database by identifying factory names, owners, directors, production heads, contact information, LinkedIn profiles, country, processing capacity, current software systems (if available), and operational pain points. Each factory will be scored based on factors such as factory size, software usage, urgency of problems, and overall sales potential to prioritize outreach efforts.

Rather than directly selling the ERP, the approach focuses on providing value first by sharing insights, industry knowledge, and free benchmark reports showing how a factory compares with top-performing cashew processors in areas such as production efficiency, inventory management, and operational tracking. The goal is to start meaningful conversations, build trust, and nurture relationships until factories show interest in exploring solutions.

The responsibility also includes initiating outreach, maintaining communication with prospects, handling follow-ups, qualifying leads, arranging meetings with interested factories, and participating in meetings to support discussions. Once leads become interested and meetings are scheduled, the CashewSoft team will handle product demonstrations and deeper technical presentations. Overall, this role combines SDR, market research, lead nurturing, and relationship-building to create a strong pipeline of qualified opportunities for CashewSoft in global cashew markets.
This is an incentive-based opportunity, meaning earnings are directly linked to successful deal closures rather than a fixed monthly salary. Since CashewSoft is a unique ERP product designed specifically for the cashew processing industry, we believe there is strong long-term growth potential and significant earning opportunities for individuals who are skilled in sales and relationship building. There is no fixed limit on incentives, as rewards increase with each successful deal closed.
We are looking for sincere, experienced, and committed individuals who can work on researching factories, nurturing leads, building trust with decision-makers, arranging meetings, and supporting conversations with prospects in markets such as Vietnam and Africa. We value long-term collaboration and are seeking people who are genuinely interested in growing alongside the project rather than only focusing on short-term results.

Skills: Research, Sales, Leads, Data Mining, Market Research, Data Scraping, Account Management, Lead Generation, B2B Marketing

Title: Python Developer Needed to Build Public Court Record Scraper / Judgment Lead Database

I am looking to hire an experienced Python web-scraping and data automation developer to help build a tool for collecting and organizing public court-record data for a judgment-collection business.

The goal is to identify New York money judgments that may be collectible, specifically real-estate / landlord-related claims against individuals in which a money judgement of at least 30K has been decided by the court. I need the data organized into a clean Excel/Google Sheets export.

Desired fields:
- Claimant / creditor
- Defendant / debtor
- Judgment date
- Judgment amount
- County
- Court
- Index number
- Whether a Satisfaction of Judgment appears to have been filed
- Source link

Ideal candidate:
- Strong Python experience
- Experience scraping public records, court records, real estate records, municipal records, liens, permits, or similar datasets
- Experience with Scrapy, Playwright, Selenium, BeautifulSoup, or similar tools
- Ability to export clean structured data to CSV/Excel/Google Sheets
- Good communication and willingness to explain limitations clearly

Please include examples of similar scraping/data-automation projects you have done.

We are seeking a skilled freelancer to scrape data from various betting sites. The ideal candidate will have experience in web scraping and data extraction, with the ability to handle large datasets efficiently. The problem is - to get data from them You need to be registered there. We need information 1) what payment methods allowed on platform 2) what license the plat form have 3) what kind of welcome bonus

Have you ever been asked to make a Shopify sellers database?

I'd like to chat to you!

I'm looking for a list of verified Shopify sellers that I can email via verified email addresses.

In the US, UK, Canada and Europe

All market segments

IF you have a list of Shopify sellers with contacts and verified email addresses then apply for this job

When applying, send me details of what projects you have worked on like this in the past

When was the last time you did work like this and do you have up-to-date lists

I have a project that I started in Make.com that I'm looking for some assistance with.

We are a perishable product fulfillment company. Our customers produce perishable products that require frozen gel packs or dry ice during transit. We've found that review websites like trustpilot.com can provide us with feedback on if a prospect of ours could be interested in a discussion about working with us. So my idea is to automatically search reviews of prospect companies on trustpilot.com, specifically looking for reviews focused on logistics and packaging feedback, identify the top and bottom 3 concerns, and develop a strategy to approach the prospect about a business relationship.

We use HubSpot and I have added fields to accommodate feedback pulled from trustpilot.com.

My idea is that Make.com is used to connect HubSpot, an Apify actor (or other solution to scrape reviews), TrustPilot.com. and Claude.

A HubSpot field is used to trigger the workflow. Make pulls the domain from HubSpot, the Apify actor queries TrustPilot to pull the reviews, Claude analyzes the reviews to identify top and bottom logistics and packaging issues, notes the current review score, and recommends an approach, and that information is written back into HubSpot.

I started building something in Make using Claude but there have been too many dead ends. Do you think this is something you could build? If so, how much time or cost do you think it would be?

Thanks!

Summary
I have most of a small automation project already built (Python + Playwright + GitHub Actions). I need someone to finish and deploy it.

What it does: Logs into the City of Saskatoon ADFS portal, opens the LMS dashboard, clicks a “Show more…” button, finds rows in a table where the “Next Action” column contains an “Inspection Report” link, downloads each PDF, and emails any new ones to a single recipient. Runs four times per day on a schedule.

What’s provided: - Full working code (Python, ~400 lines across 5 small modules) - A local mock of the Saskatoon portal so you can test without touching production - A GitHub Actions workflow file with the schedule already configured - README explaining everything

Looking for a virtual Assistant to help us with marketing and lead gen. We need someone who is fast to respond and willing to go the extra mile for our team.

The scenario is already about 90% built. We need a Make.com expert to update and improve the existing workflow.

The main task is to replace the current Gmail-based news feed with a direct MT Newswires API integration inside Make.com. The updated scenario should pull market news directly from MT Newswires, process the data, and continue feeding the existing research/social automation flow.
We also need to improve the Telegram approval step. Reviewers should be able to approve, reject, or edit generated X posts directly from Telegram before anything is queued or published.

Required Work
Review the existing Make.com scenario.
Replace Gmail ingestion with MT Newswires API ingestion.
Map MT Newswires data into the current workflow.
Add Telegram-based edit functionality for X posts.
Preserve the existing approval, scheduling, and publishing logic.
Test the full flow end-to-end.

Ideal Candidate
Strong Make.com experience, API integration skills, Telegram Bot workflow experience, and familiarity with stock market/news automation.

• 1. How familiar are you with the stock market/finance niche? (briefly describe past finance workflows or clients)
• 2. Share 2–3 closest similar projects (Make.com + Google Docs/Drive + OpenAI/Flowise). Include links/Looms/blueprints.
• 3. Have you built Telegram Bot approval/editing workflows before where users can approve, reject, or modify content directly inside Telegram?
• 4. Based on the scope below, what is your estimated timeline and fixed-price quote for replacing the Gmail feed with the MT Newswires API integration and adding Telegram editing functionality to the existing Make.com scenario?

​I am looking for a developer to build a simple tool that extracts data from Reddit threads related to constipation and digestive health. The goal is to move these conversations into a Google Document so I can analyze them for market research.

////////////////////////////////////////////////////////////////////////////////////

​Mandatory Requirements (Read Carefully):

​The API: You must use the Official Reddit API (PRAW). Do not "brute-force" scrape the site, as I want to ensure my IP and accounts are never flagged or blocked.

////////////////////////////////////////////////////////////////////////////////////

​The Output: The data must be fed into a Google Document.
​Formatting for AI: Each thread must be separated by a very clear header (e.g., ### --- NEW THREAD: [Title] --- ###). This is critical because I will be feeding this document into Claude for analysis, and it needs a clear structure to follow.

////////////////////////////////////////////////////////////////////////////////////

​User Friendly: I am not a developer. You must set this up so I can run it easily—ideally via a "Play" button (so I don't have to install environments on my laptop) or a similar web-based trigger.

////////////////////////////////////////////////////////////////////////////////////

​Scope of Work

​Target specific subreddits and keyword searches (e.g., "constipation," "gut health," "laxatives"). Capture the Original Post + all comments and nested replies.
​
And please deliver the script/tool and a brief "how-to" guide so I can run it on-demand.

​Note: I am perfectly fine if you use AI (Claude, Cursor, ChatGPT, etc.) to generate the code. I value speed and a working end-result over "hand-coded" complexity. If you have a template ready to go, that is even better

AI Sales Agent – Remote

We are hiring motivated sales agents to help local businesses learn about our AI Operating System that helps automate customer service, lead follow-ups, appointment booking, and daily business tasks.

Your main job is to:

* Reach out to local businesses
* Explain our AI system in a simple way
* Book 5 demo appointments per day

You can use:

* Phone calls
* Instagram
* Facebook
* Email
* LinkedIn
* Upwork or freelancer outreach

This is a remote opportunity with commission and bonus potential.

Perfect for:

* Appointment setters
* Freelancers
* Sales reps
* Social media marketers
* People interested in AI and business growth

Requirements:

* Good communication skills
* Self-motivated
* Consistent daily outreach
* Internet and phone/computer access

Apply today and help businesses grow with AI automation.

Several Excel workbooks hold my active sales and CRM data, and everything has to live inside HubSpot. The job revolves around three core activities: entering the records, mapping every Excel column to the correct HubSpot property, and cleaning or validating anything that looks inconsistent before the import.

Because I am flexible on templates, you are free to propose or refine the layout that makes the mapping process smoother—pivot tables, separate staging sheets, or direct CSV exports are all acceptable as long as the final structure lines up neatly with HubSpot’s import tool.

The data’s end-use is pure Sales & CRM, so accuracy of pipeline stage names, deal amounts, contact ownership, and custom properties is critical. Expect to spot-check for duplicates, fix broken email formats, and confirm that pick-list values match what already exists inside the portal.

Deliverables
• A concise mapping guide that pairs each Excel column with its HubSpot property
• Cleaned and formatted import files ready for upload
• A brief import report or screenshots confirming all records were created or updated without errors

Acceptance criteria
• 100 % column-to-property alignment, verified with a test batch of records
• No duplicate contacts or deals introduced, as confirmed by HubSpot’s validation results
• All mandatory HubSpot fields populated; any gaps flagged in a summary note

Mention any previous HubSpot data-migration work and the typical size of datasets you’ve handled so I can gauge fit and timeline.

Skills: Data Processing, Data Entry, Excel, CRM, Data Scraping, Data Extraction, Data Analysis, Data Integration, Data Management

## Technical Requirements Document: Glass Workshop ERP System
**Business Type:** Glass cutting, tempering (Trempe), lamination (Feuilleté), and edge polishing (Polissage) workshop.
**Target System:** Odoo (Community Version) or an equivalent Open-Source ERP.
### 1. Core Modules Required
* **Contacts Management:** Customers & Vendors database (with Algerian legal fields: RC, NIF, NIS, Article d'imposition for official invoicing).
* **Sales & Purchase:** Invoicing system that supports dynamic 2D dimension calculation and pricing.
* **Finance & Cashflow:** Cash and bank management, operational expenses tracking (especially high power consumption for tempering furnaces), and Fixed Assets management (Depreciation of CNC machines and tempering ovens).
* **Planning & Projects:** A project/planning module to schedule customer orders and queue tasks across different processing machines.
### 2. Core Feature: 2D Multi-Dimensional Inventory & Waste Management
The default ERP inventory logic does not fit our industry. We require a custom **2D Dimension (Length × Width)** mechanism to track the exact lifecycle of glass sheets.
#### A. Inventory View & Stock Breakdown (Crucial Requirement)
When checking the stock of a specific product (e.g., **Clear Glass 6mm**), the system must display a clear, structured breakdown of all available dimensions and quantities instead of a single total volume.
**Example of the required Stock View for "6mm Clear Glass":**
* **Line 1:** 3.21 \times 2.25 — **Qty:** 20 (Full Jumbos)
* **Line 2:** 1.90 \times 2.25 — **Qty:** 2 (Reusable Chutes)
* **Line 3:** 0.90 \times 1.30 — **Qty:** 1 (Reusable Chutes / Small sheets)
#### B. The Cutting & Production Workflow (Business Logic)
When a custom cutting order is confirmed for a client:
1. **Jumbo Consumption:** The stock keeper pulls a full **Jumbo sheet** (3.21 \times 2.25 m). The system automatically deducts 1 Sheet from the full Jumbo stock.
2. **Output Sorting (Post-Cutting):** Once the cutting is complete, a simplified wizard/interface appears for the production supervisor to log the outputs manually:
* **Customer Order:** Shipped directly to the customer.
* **Reusable Chutes:** If a usable piece remains (e.g., 1.90 \times 2.25 m), the supervisor enters these dimensions, and the system automatically updates the inventory with this new unique stock line.
* **Market Shelves (Étagères):** If the remaining parts can be cut into standard market shelves (e.g., predefined small dimensions), the supervisor logs the number of shelves produced, moving them to finished goods.
* **Scrap (Déchet):** Any small, unusable glass remnants are logged as **Scrap** to calculate the monthly waste ratio and write off their financial cost.
### 3. User Interface & UX Requirements
* **Frictionless & Fast Interface:** The default Odoo interface is too complex for workshop workers. You must **hide 90% of unnecessary fields** and provide a clean, single-page dashboard (Custom POS interface or an equivalent streamlined module is preferred).
* **Keyboard-Driven Input:** Workers must be able to input data rapidly using only the keyboard (Tab to navigate, Enter to confirm) to log: *Customer Name, Glass Type, Length, Width, and Quantity* without touching the mouse or waiting for page refreshes.
* **Automated Background Math:** Upon entering the Length and Width, the backend must instantly calculate the total square meters (M^2) and adjust the final price based on area + extra processing services (e.g., tempering or edge polishing costs).

We are seeking a skilled freelancer to build a targeted prospect list using web scraping and lead verification. The ideal candidate will have experience in identifying and extracting relevant data from various sources, ensuring accuracy and relevance. This role is crucial for our marketing and sales efforts, and the freelancer should be able to deliver a comprehensive and verified list of prospects.

I need someone to extract customer and second-level data from RepairShopr and put it into a CSV file. The task involves handling tax codes as well. The ideal candidate should have experience in data extraction and management, particularly with software like RepairShopr.

Lead research virtual assistant
Remote · Part-time (20 hrs/week to start)

We are a US-based used clothing wholesale and export company sourcing bulk secondhand merchandise from thrift chains, donation centers, and textile recyclers. We are looking for a detail-oriented virtual assistant to build and maintain a national supplier lead database that our outreach team will use to secure inventory.

What you'll do
Research and identify donation centers, thrift chains, and textile recyclers across assigned US states using organizational websites, LinkedIn, Apollo.io, Google Maps, and the IRS Tax-Exempt Organization database

Find the name, title, direct phone, and email of the decision-maker at each location — specifically Salvage Managers, Warehouse Managers, or Operations Directors

Log all verified contacts into our shared Google Sheet or Airtable database with required fields completed: org name, contact name, title, email, phone, address, state, org type (nonprofit/for-profit), and estimated number of locations

Flag high-priority leads (multi-location organizations, large volume indicators, or favorable geography near major US ports) and exclude single-store independents

Deduplicate the master list weekly and verify that contact information is current and accurate before submission

Submit a brief end-of-week summary reporting total contacts logged, states covered, and any blockers encountered

Weekly Target 150 verified leads

Requirements
Fluent written English — you will be researching US-based organizations

Comfortable using Google Sheets or Airtable, LinkedIn, and basic web research tools

Prior experience in lead generation, data research, or list building strongly preferred

Reliable internet connection and availability during agreed hours (US time zone overlap preferred)

Able to pass a paid 3-hour trial task before being offered an ongoing contract

• Describe your recent experience with similar projects

I am looking for an experienced data scraping specialist to collect business data from BBB.

There are approximately 100,000 businesses that match my required filters. I need someone who has either scraped BBB before or has strong experience scraping large business directories.

The ideal freelancer should be able to:

- Scrape business data accurately from BBB
- Work with large datasets of around 100,000 records
- Follow specific filters and requirements
- Deliver clean, organized data in CSV or Excel format
- Avoid duplicates and incomplete records
- Complete the project efficiently and professionally

Please only apply if you have experience with web scraping, data extraction, proxies, anti-bot handling, and large-scale scraping projects.

The budget is already set, so please do not apply if you cannot work within the stated budget.

To confirm that you have read this full job post, include the word yellow as the very first word in your application. Applications that do not start with yellow will not be accepted.

Please include examples of similar scraping projects you have completed, especially if you have worked with BBB or other business directories before.