Python Facebook Marketplace Scraper

@NadiaCrea8weB

Hi there, I’ve read your Facebook Marketplace scraper spec and I’m confident I can deliver a clean, single-seller link extractor that outputs one URL per line to TXT or CSV. I’ll use Playwright for robust infinite-scroll handling and provide a compact, runnable Python script with clear structure and comments.

@AliGhazanfar2

Hi, Lets get connect over a chat. I have more than 9 years of experience in building custom platforms in python. I will walk through to my work samples as well. I am online right now. Thanks Ali

@arslanshahid386

Hi there, I see you're looking for a Python developer to create a scraper for Facebook Marketplace that focuses solely on extracting product links from a specific seller's page. I can help with that! My approach would be to use Selenium to navigate the seller's page, handle the infinite scrolling to ensure all products are loaded, and then compile the links into a clean TXT or CSV file as you requested. With 4+ years of experience in web scraping and working with dynamic websites, I’ve tackled similar projects before, ensuring clean and efficient code. I understand the importance of getting just the links without any other data clutter. Just out of curiosity, are there any specific challenges you foresee with the authentication process for the scraper? Best regards, Arslan Shahid

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Python Facebook Marketplace 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

@saadirfankk

Hello, In addition to all the web development skills I have, including proficiency in JavaScript, my expertise in web scraping would undoubtedly compliment this project perfectly. Having built a number of robust web scraping applications using Selenium and other tools specifically designed to deal with dynamic websites, I am adept at handling the unique intricacies of data extraction from such platforms. To specify, I've previously built a scraper using Selenium that specifically targeted the Facebook Marketplace. It was designed to not only automate the extraction of product URLs for specific sellers but also handled infinite scrolling to ensure all products were captured. I can assure you thatmy code is clean and well-structured for easy navigation and implementation, and I'm more than happy with to provide samples of my previous work for your satisfaction. As for the technical requirements, Python is one of my strongest programming languages and I'm experienced with both Selenium and Playwright. Since no manual filtering is required and no data other than URLs are needed, the task will be approached in a lean and efficient approach making for a very fast turnaround time. My ultimate aim is a stellar final product experience for you! Expect an excellent outcome on-time, within budget, and up-to-the-minute satisfaction through open communication throughout the project. Forming partnerships that ensure long-term success is key fo Thanks!

@SherozKhalid9

Hi there, I see you're looking for a straightforward Python script to pull all product links from a single Facebook Marketplace seller's page, handling infinite scrolling and outputting just the links to a TXT or CSV file—nothing else. With my experience scraping dynamic sites like Facebook and e-commerce platforms using Playwright (which I recommend here for its efficiency with JavaScript-heavy pages), I've built similar tools that manage logins and extract targeted data cleanly. I can deliver well-structured, runnable code in 2-3 days. One question: Will the script need to handle any specific proxy setups for multiple runs? Let's chat about your budget and get this sorted—I'm confident it'll fit your needs perfectly.

@yuanzhi5

I will develop a robust Python scraper for Facebook Marketplace using requests and BeautifulSoup. My technical approach focuses on reliable data extraction of title, price, location, and description, with careful session management to ensure stable operation. The implementation will deliver a clean, well-documented script for easy execution. My fixed budget for this solution is 15.0 USD, covering complete development and delivery. Could you specify the exact number of listings you need the scraper to collect per session?

@jesica46

Hello there, I have carefully read your project description and I’m confident that I can complete your Python project efficiently and professionally. I have strong experience in developing Python scripts for automation, data processing, and problem-solving. Here’s what you can expect from my work: ✅ Clean, optimized, and well-documented Python code ✅ Fast and reliable performance ✅ Regular updates during the project ✅ On-time delivery and unlimited revisions until you are satisfied I’m ready to start right away and can complete the task within your deadline. Please feel free to share more details about your project so I can tailor the solution perfectly for your needs. Looking forward to working with you! Best regards,

@ChadiS5

Hi, I’ve read the project details carefully and understand that you need a focused Python scraper that extracts only product URLs from a single Facebook Marketplace seller page, handling infinite scroll and nothing else. I’m a Python developer with experience scraping dynamic, JS-heavy platforms using Playwright and Selenium. For this task, I’d recommend Playwright (Python) for better performance and stability with infinite scrolling. The script will accept a seller URL as input, scroll until all listings are loaded, extract only the product links, and export them cleanly to TXT or CSV (one link per line). Manual login can be supported if required. I prioritize clean, well-structured, and runnable code with clear comments so it’s easy to reuse or extend later. Estimated delivery: 1–2 days depending on Marketplace layout behavior during testing. Happy to discuss details and share relevant scraping experience.

@proggon

Hi there, I see you’re looking for a skilled Python developer to create a focused scraper for Facebook Marketplace that efficiently extracts product links from a seller's page. This kind of task requires precise handling of dynamic content, and I'm confident I can deliver exactly what you need. I propose to develop a streamlined solution using either Selenium or Playwright, ensuring the scraper handles infinite scrolling and accurately outputs all product links in a clean TXT or CSV format. My approach will prioritize creating a well-structured, reliable script that accomplishes your objectives while providing you with the ease of manual login if necessary. With substantial experience in web scraping and an emphasis on producing efficient code, I can assure you of a quick turnaround. Could you please share any specific seller pages you have in mind for initial testing? https://www.freelancer.com/u/proggon Best regards, Wahaj Barlas.

@dejanv7

Hello, As a seasoned full-stack developer with extensive experience in creating web-based systems, I can assure you of my expertise to deliver a reliable and well-structured Python script that meets your scraping needs for Facebook Marketplace. I have worked on similar projects before, extracting specific data from complex websites, and my clients have always commended the clean and runnable nature of my code. My proficiency in Python, coupled with my familiarity with Selenium and/or Playwright, means that I can work efficiently and effectively on handling the infinite scrolling required to load all products from a single Facebook Marketplace seller page. I understand that in this particular project, we need to-ignore other data and focus solely on extracting product links for each seller. This is in line with my task-oriented approach to problem-solving where I prioritize a precise delivery of what's required. Given my past experiences in data processing and web scraping, I'm confident that you will find my services for this project invaluable. My comfort with dynamic websites allows me to expertly navigate the complexities involved in this field. Additionally, you can depend on me to complete tasks within a stipulated time frame without compromising quality. Partnering with me guarantees you a professional who goes beyond implementing features but offers solutions that are aligned with your real operational needs. Let's commence Thanks!

@Mabena1

I am a strong fit for your project. I understand you need a clean, user-friendly Python script that extracts product links exclusively from a single Facebook Marketplace seller page, handling infinite scrolling to capture all items. With my expertise in AI automation and web development, I can create a scalable, well-structured solution using Playwright or Selenium tailored to dynamic websites. While I am new to Freelancer, I have strong real-world experience and have completed multiple successful projects off the platform. What is your preferred timeline for delivery, and are there any specific priorities you want to address first? Regards, Mpumelelo Mabena

@mrmushtaque

I can build a focused Python scraper that opens a single Facebook Marketplace seller page, handles infinite scrolling, and extracts only the product URLs belonging to that seller—no names, prices, or images. The script will save the links to a TXT or CSV file (one URL per line) and will be clean, runnable, and well-structured. I propose using Playwright (Python) for better reliability on dynamic content and infinite scroll handling. The script can support manual login (you log in once in the browser context), then it will load all listings and collect product links. I will add basic waits, error handling, and simple configuration so you can change the seller URL without touching the code. Estimated timeline: 1–2 days

@SEOGlobalLLC

Hi there, thanks for sharing the details of your scraper project. We understand you need a Python-based scraper that opens a single Facebook Marketplace seller page, handles infinite scrolling, and outputs only that seller’s product URLs into a clean TXT or CSV file with one link per line. SEO Global Team has hands-on experience scraping dynamic platforms like Facebook Marketplace using Selenium and Playwright, with a strong focus on reliable scrolling logic, session handling, and clean, well-structured Python code. Our approach is to build a lightweight script using Playwright or Selenium that supports manual login if needed, scrolls until all listings load, extracts only valid product links from that seller page, and exports them into a ready-to-use file. A couple of quick questions: • Do you prefer Selenium or Playwright, or should we choose the best option? • Approximately how many listings does the seller typically have? • Should the script run headless or with a visible browser by default? Looking forward to working with you and delivering this quickly and cleanly.

@christianw59

Hello, As a seasoned full-stack developer with eight years of experience, I possess the proficiency in Python that your project necessitates. My areas of expertise extend to Python web scraping using both Selenium and Playwright, making me suitable for the job at hand. I relate to your requirement for obtaining a clean and structured output, specifically collecting product links without any auxiliary information like names or prices. In addition to Facebook Marketplace scraping, I've crafted several other web scrapers that triumph on similar dynamic sites. This enables me to comfortably tackle the challenge of handling infinite scrolling and extracting all the product links you need. As a bonus, my background in REST API development along with backend architecture enables me to ensure my work is scalable and compatible with other systems. When you engage my services, rest assured that you will receive more than just code. I will deliver an automation-powered system that will positively impact not just the project but also your business as a whole- contributing to scalability, efficiency and ultimately, growth. Let's turn this possibility into reality by conectarting today. Thanks!

@lechw2

Hello, As an experienced full-stack developer, I've built several dynamic scraping tools before, using Python and web automation libraries like Selenium and Playwright, just like you need for this project. Being well-versed in APIs and backend systems, I understand their critical role in the end-to-end process of building high-performance apps , a skillset which will be invaluable when handling infinite scrolling on Facebook Marketplace. I pride myself on delivering clean, maintainable, and well-structured code. To match the simplicity and focus you're looking for, my script would purely extract the product links specific to each seller, ignoring any unnecessary data, ultimately producing a neat file with each link on a separate line. This minimalistic approach ensures the task is completed quickly and correctly. Lastly, my strong communication skills have been lauded by previous clients for facilitating proactive and transparent collaboration throughout the process. I respect timelines and ensure zero surprises by providing clear delivery estimates. If hired, you can count on receiving production-grade solutions that move your business in the right direction. Let's connect so we can discuss further details about your project needs! Thanks!

@angeloc61

I can do it. ❤️❤️❤️ I can do it. ❤️❤️❤️ I can do it. ❤️❤️❤️ The main challenge of this project is reliably extracting all product links from a Facebook Marketplace seller page while handling infinite scrolling and dynamic loading without collecting any unnecessary data. I’ve solved similar cases by using Python with Playwright/Selenium to control scrolling logic, wait for network idle states, and precisely target only product anchor elements belonging to a single seller. In a previous Marketplace scraping project, I built a focused scraper that logged in manually, paginated through infinite scroll, and exported clean URL-only datasets to TXT and CSV formats. That experience allows me to deliver a lightweight, stable script that does exactly one thing well—load all listings and output each product link on its own line, with clean code and simple setup instructions. Hope to see your message. Thank you.

@abdullahbinshah1

Proposal Title: Python/Playwright Specialist - Precise FB Marketplace Scraper Hello, I can develop a clean, lightweight Python script to extract product links from specific Facebook Marketplace seller pages. I specialize in automation and handling dynamic, infinite-scroll websites, and I can deliver this quickly. How I will meet your requirements: The Tool: I will use Playwright. It is more modern and faster than Selenium, making it ideal for handling Facebook’s complex layout and infinite scrolling. The Logic: The script will wait for you to perform a manual login (to bypass any security checks) and then automatically scroll until all products are loaded. The Output: I will ensure the final result is a clean .txt file with one link per line, exactly as requested. My Relevant Experience: Automation Expertise: I have extensive experience building robust data systems in Python, including a digital invoicing system for the FBR and a high-precision NLP sentiment analyzer (FinScan). Dynamic Scraping: I am very comfortable with CSS selectors and XPath to target specific elements like product URLs while ignoring names and prices. Estimated Delivery: 3-4 Days I am ready to start immediately Best regards, Abdullah Bin Shahbaz

@kunal4works

I have solid hands-on experience building Python-based scrapers for multiple dynamic platforms, including large, JavaScript-heavy websites. In previous projects, I’ve: Built a Google Maps scraper using Selenium to extract business data reliably despite dynamic loading, scrolling, and anti-bot behavior. Developed scrapers for sports platforms (including EPL and cricket data), handling pagination, lazy loading, and structured/unstructured HTML to collect clean, usable datasets. Worked extensively with infinite scroll handling, DOM inspection, and selector stability, which is directly relevant to Facebook Marketplace. For this project, I clearly understand the scope and simplicity you want: Open one Facebook Marketplace seller page Scroll until all listings are loaded Extract only product URLs belonging to that seller Output a clean TXT or CSV file with one link per line No extra data, no filters, no noise Proposed approach: Python + Selenium (or Playwright if preferred) Manual login support if required Robust scrolling logic to ensure 100% product coverage Clean, readable, and reusable code with comments Why I’m a good fit: Proven experience scraping dynamic sites Focus on accuracy and simplicity Comfortable working with Facebook’s front-end behavior Fast turnaround without overengineering Estimated delivery: 1–2 days after confirmation Happy to discuss tool choice (Selenium vs Playwright) and start immediately.