Facebook Marketplace Seller Scraper

@Zeeshan0489

Hi there, I’ve reviewed your Facebook Marketplace seller scraper request and I’m confident I can deliver a robust, compliant desktop/web-based tool that pulls public listing data at scale and exports neatly labeled CSV/Sheets. I have extensive experience in web automation and data extraction workflows using Python (BeautifulSoup/Selenium) and Node (Puppeteer/Playwright), with an emphasis on reliable error handling, respectful throttling, and easy-to-use config for credentials and delays. My approach: (1) support multiple seller URLs, (2) crawl all visible listings, (3) extract item title, price, description, image URLs, posting date, location, and seller profile link, plus any additional Facebook-exposed fields, (4) export to CSV or Google Sheets with a clear schema, and (5) a simple config file to manage login, accounts, throttle, and output paths. I’ll implement login handling via cookies or a lightweight mobile API reflection, with rate limiting to minimize blocks, and provide a setup guide and an example run from three test URLs. What you’ll get: a ready-to-run script or executable for Windows/Linux, setup instructions, an example CSV from your three test URLs, and a brief read-me with credential/config instructions and scheduling options. I can start immediately and deliver a first working prototype within a few days, followed by refinements based on your tests. Thanks,

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Facebook Marketplace Seller Scraper. I am an experienced full-stack Python developers with skill sets in - Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL - React, JavaScript, jQuery, TypeScript, NextJS, React Native - NodeJS, ExpressJS - Web App Development, Data Science, Web/API Scrapping - API Development, Authentication, Authorization - SQLAlchemy, PostegresDB, MySQL, SQLite, SQLServer, Datasets - Web hosting, Docker, Azure, AWS, GPC, Digital Ocean, GoDaddy, Web Hosting - Python Libraries: NumPy, pandas, scikit-learn, tensorflow, etc. Please send a message So we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Also, we are a team of professional workers, and we are always available 24/7 to help employers without limitations, and delivery is guaranteed on time. Your faithfully. Eng. Alema Akter

@WishingBell

Hello, I’ve read your Facebook Marketplace seller-scraping brief and can deliver a reliable, configurable scraper that crawls pasted seller profile URLs, extracts every public listing, and exports clean CSV or Google Sheets files with title, price, description, image URLs, posting date, location and the seller profile link — plus any additional Facebook-exposed fields you want labeled. I build scrapers using Python + Playwright or Node + Playwright/Puppeteer with cookie-based or mobile-API login support, sensible throttling, retry/backoff and a simple config file for delays and accounts. I also understand the full data pipeline — from collection to labeling, lightweight preprocessing, and how that data feeds downstream systems (search, classification or vector indexing) — and have practical experience with LLMs, Transformers, chatbots, classification and vector search when projects require enrichment or retrieval layers. I’ll deliver the script/executable, a README for credentials, schedules and outputs, and an example CSV from three test URLs within the agreed timeframe. How many seller profile URLs and roughly how many listings per seller do you expect to run initially (so I can size rate limits and session strategies)? Best regards, Andrew

@kshubham102

Hello I already have production ready file and code with. Please connect, So I can provide you some samples. Best Regards Shubham Sharma

@temciucv

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on PHP, Python, Web Scraping, Software Architecture, Node.js, BeautifulSoup, Google Sheets, Selenium Please come over chat and discuss your requirement in a detailed way. Thank You

@khrystynad4

Hello, Greetings , I’ve carefully checked your requirements and really interested in this job. I have rich experienced in Selenium, BeautifulSoup, Web Scraping, Node.js, Software Architecture, Google Sheets, PHP and Python. As a senior full-stack developer, I have strong expertise in both frontend and backend technologies. On the frontend side, I have extensive experience building modern, scalable applications using React, Redux, Vue, Angular, TypeScript, and various third-party libraries. I focus on clean architecture, high performance, and intuitive user experiences, and I am very comfortable creating responsive, modern UI designs. On the backend, I bring solid hands-on experience with Node.js, Laravel, Python, and .NET, designing robust APIs, scalable systems, and secure server-side logic. In addition, I have rich experience in DevOps, including deployment automation, CI/CD pipelines, and cloud-based infrastructure. I have worked on large-scale applications and collaborated closely with U.S. and European teams, so I am comfortable with international workflows, clear communication, and high development standards. I am confident I can deliver high-quality, reliable solutions and would be happy to contribute my skills to your project. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. With regards, Khrystyna

@proggon

Hi there, I understand you need an efficient solution for scraping data from Facebook Marketplace seller pages at scale, specifically equipped to extract item titles, prices, descriptions, and other key details in a neatly formatted manner. This will help streamline your data gathering process without running afoul of Facebook’s terms of service, ensuring you can access the information you need easily and reliably. To tackle this, I'll create a custom scraper utilizing Python with BeautifulSoup or Selenium, ensuring it runs smoothly on both Windows and Linux VPS. The tool will feature a robust architecture with reasonable throttling, cookie-based login handling, and a straightforward config file, enabling you to adjust parameters as needed. I'll provide clear setup instructions along with a sample CSV generated from your specified seller URLs, ensuring you have everything necessary for quick testing and continued use. What specific additional fields would you like to capture beyond the main requirements? https://www.freelancer.com/u/proggon Best regards, Wahaj Barlas.

@CaballeroPedro

This project requires handling Facebook's dynamic rendering, managing authenticated sessions, building robust anti-detection logic, structured data extraction, error recovery, and thorough testing. That's realistically 20+ hours of specialized work. At $300 you're getting quality code that actually works reliably — a $30 tool will break on first run or get your account flagged immediately

@zaighamabbas92

With my 5+ years of experience in Python web scraping and data automation, I can provide you with a reliable solution to pull data from Facebook Marketplace seller pages at scale. This includes not just the essential details like item title, price, description, and photos, but also additional fields that Facebook may expose. Throughout my career, I've handled large-scale data collection projects with more than 10K records and have developed automated data pipelines for seamless data extraction. Moreover, I am comfortable working with different stacks such as BeautifulSoup, Scrapy, Selenium, and have customised these Python packages to avoid violating any platform's ToS - including Facebook's - while still offering performance. In addition to excellent technical skills in scraping and software architecture, I focus on delivering clean, structured and ready-to-use output. I will ensure your scraped data is well-organised in CSVs or Google Sheets as per your requirement. And apart from the scraper script itself, you can count on me to provide comprehensive setup instructions and a read-me, making it easy for you to modify credentials, schedules and output path as needed. Don't settle for a mediocre solution to your important task – gain certainty with my proficiency in web scraping! Let's collaborate to turn your Facebook Marketplace vision into successful reality!

@abdulm0048

Drawing from my extensive experience as a full-stack developer, I would be ideal for this project that requires extracting targeted data at scale from Facebook Marketplace seller pages. My mastery of diverse technologies like Python, Node.js, Puppeteer, and Headless browser solutions positions me well to architect and build the scraper that your project needs. I promise to observe all the requisite legalities and technicalities to ensure a smooth crawl without violating Facebook’s terms of service. On the practical side of things, I assure you that the scraper script or executable I deliver will be accompanied by detailed setup instructions for smooth implementation on Windows or Linux, according to your preference. As testament to quality assurance, I'll also provide one example CSV file pulled from three test seller URLs that you'll provide in order for you to have a feel of what to expect. Moreover, my proficiency in handling large volumes of data through REST APIs and backend systems will ensure that every bit of information you require is captured accurately and stored neatly in your desired format. Finally, my problem-solving mindset means I can readily adapt the scraper to include any additional Facebook fields that might prove useful to your operation. Trust me for a clean code, reliable performance, and a business-ready solution.

@SEOGlobalLLC

Hi there — thanks for the detailed brief, this is a well-scoped project. We understand you need a Facebook Marketplace–focused scraper that accepts multiple seller profile URLs, reliably crawls all public listings, captures key fields like title, price, description, images, dates, locations, and seller links, and exports everything cleanly to CSV or Google Sheets with throttling and login handling. SEO Global Team has extensive experience building Facebook-specific scraping systems using Python and headless browsers, including cookie-based auth, anti-blocking strategies, structured exports, and Windows/Linux-compatible deployments. We’ll deliver a configurable, ToS-conscious solution with controlled request pacing, reusable account management, clearly labeled data fields, example output from test sellers, and a concise README covering setup, credentials, scheduling, and output paths. A few quick questions before we proceed: • Do you prefer a script-based solution or a packaged desktop executable? • Will you provide Facebook accounts/cookies for login testing, or should we include account rotation support? • Do you want Google Sheets export via API or CSV only by default? Looking forward to working together and getting this running smoothly for you.

@andrewc226

Hi — I’ve built several large-scale scrapers for platforms with aggressive anti-bot systems (including Facebook-style dynamic sites). A few quick clarifications before I propose the exact approach: Will all target seller pages be public, or do some require being logged in to view full listings? Roughly how many seller profiles and total listings do you expect per run? Proposed approach: Use Playwright (Python or Node) with real browser context (not raw HTTP) to handle dynamic loading and infinite scroll. Cookie-based login session (no password hardcoding). Human-like throttling, randomized delays, and session rotation. Crawl each seller profile, auto-scroll to load all items, then extract: title, price, description, images, location, date, and profile URL. Export to CSV and/or Google Sheets. Deliverables: Standalone script (Windows/Linux). Config file for accounts, delays, and output path. README with setup + usage instructions. Sample CSV from your test URLs. This setup avoids brittle APIs and works even if Facebook changes minor endpoints, since it operates on the real rendered DOM. I can start immediately and share a working prototype quickly once I see one example seller page.

@servicedigi

We have 4+ years of experience building production-grade web crawlers and data-extraction tools that run reliably at scale. We’ve shipped scrapers using Python (Playwright/Selenium) and Node.js (Puppeteer) with strong focus on stability, throttling, and account safety—especially on dynamic, login-gated platforms. For your Facebook Marketplace seller scraper, we’d deliver a Windows/Linux-ready tool that: - Accepts one or multiple seller profile URLs - Crawls all public listings per seller - Extracts structured fields: title, price, description, posting date, location, image URLs, listing URL, and seller profile link (plus any additional exposed metadata) - Exports cleanly to CSV or Google Sheets Approach: - Headless browser automation (Playwright or Puppeteer) to handle dynamic content - Cookie-based login with account rotation and configurable delays - Built-in throttling, retry logic, and pagination handling to minimize blocks - Simple config file to manage credentials, delays, output paths, and schedules Deliverables include the scraper/executable, setup docs, a sample CSV from your test seller URLs, and a concise README explaining configuration and usage. Code will be clean, well-commented, and easy to extend. We’ve worked on similar marketplace and social-platform scraping jobs where reliability and traceability matter. Once you share the test URLs, we can validate field coverage and finalize the export format quickly.

@Presskeys87

Hi, I'll build a Facebook Marketplace seller scraper with Playwright. **Features:** - Input: seller profile URLs (single or batch) - Output: CSV with title, price, description, image URLs, date, location, seller link - Cookie-based auth + configurable delays - Runs on Windows/Linux **Deliverables:** - Python script with setup instructions - Sample CSV from 3 test URLs - README for credentials/config **Timeline:** 4 days Note: FB scraping is tricky - I'll use stealth techniques to minimize detection. Ryan