Python Facebook Marketplace Scraper -- 2

@AnumFatima210

Hello, I came across your project Python Facebook Marketplace Scraper -- 2 and I am very interested in working with you. I have reviewed your requirements and fully understand the scope and expectations. I specialize in PHP, JavaScript, Python, Data Processing, Web Scraping, Data Extraction, Selenium, Automation and have successfully delivered similar projects before. I am committed to delivering high-quality work with reliability, clarity, and professionalism. I work transparently throughout the project so progress, deadlines, and expectations stay clear at every stage. I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Regards, Anum

@syedraza21295

Hello, I have extensive experience in Python and web scraping, making me well-equipped to handle your project requirements. I have carefully reviewed the details of your Python Facebook Marketplace Scraper project and am confident in my ability to deliver a high-quality solution. I plan to utilize Python along with Selenium to create a scraper script that will efficiently extract and compile the product links from the specified Facebook Marketplace seller page. The output will be a clean and organized list of URLs in either TXT or CSV format, ensuring ease of use for further analysis. As a versatile developer, I am adept at handling dynamic websites and ensuring the code is structured for optimal performance. I look forward to discussing the project further in chat. Best regards, Syed

@mouniir10

Hello, I am a Data Engineer from Morocco, I speak Darija. I can share my previous work in private. I have experience with Selenium, Scrapy, BeautifulSoup. Estimated delivery time: I would say between 2 and 4 days.

@natanr28

HELLO, HOPE YOU ARE DOING WELL! I understand that you need a Python scraper specifically for Facebook Marketplace that efficiently extracts product links from a seller's page. My background in automation and web scraping makes me highly suitable for this task. My plan is to utilize Selenium to handle the dynamic loading of product links thoroughly and efficiently. I'll ensure that the script is clean, organized, and outputs the required links in your preferred format, either TXT or CSV. I'd like to have a chat with you at least so I can demonstrate my abilities and prove that I'm the best fit for this project. Warm regards, Natan.

@cindyviorinar

Hello, I’ve read your brief and can deliver a focused Python scraper that opens a single Facebook Marketplace seller page, scrolls until all listings load, and outputs every product URL for that seller, one link per line in a TXT or CSV file. I’ll keep the code clean, modular, and easy to run so you can maintain it long-term. I have real-world experience building backend tools and scrapers using Python with Playwright and Selenium, and I structure projects with clear utilities and error handling for dynamic sites. I’ll include a small CLI and README, support manual login/session reuse, and ensure the scraper filters results to only that seller’s product links. Next step: I can provide a short demo script and a brief run instruction; I typically deliver a clean, runnable version and am available to tweak selectors after you test it. Do you prefer Selenium or Playwright, and can you provide a logged-in session or should I implement a manual login flow for testing? Sincerely, Cindy Viorina

@yuanzhi5

Creating a simple yet robust Facebook Marketplace scraper requires careful handling of session management and data parsing to avoid blocks and ensure reliable data extraction. Your requirement for a focused script suggests you need targeted data points, not a broad crawler, which is a smart approach for efficiency and maintainability. Based on this focused scope, I can deliver a clean Python script using libraries like `requests` and `BeautifulSoup` for the core scraping logic, with structured output to CSV or JSON. My experience in backend engineering ensures the script will be robust, handling potential request failures gracefully. For a project of this nature, a budget of 30.0 USD is appropriate, covering the complete delivery of a documented, working script ready for your specified data targets. To tailor the solution precisely, what is the primary data structure you need from the listings—is it primarily pricing and title information, or do you require more detailed attributes like seller location and full description text?

@alexnebo1123

Hello, I can build a clean Python scraper that takes a single Facebook Marketplace seller URL, scrolls until the end, and exports only that seller’s product listing links to a TXT or CSV file with one link per line. I usually use Playwright for dynamic pages because it’s more stable and faster than Selenium on infinite scroll, and I’ll keep the code simple to run with clear setup steps and a straightforward output file. If login is needed, I’ll support a manual login step and then continue scraping from the authenticated session without collecting anything except the product URLs. Do you want the script to run with a visible browser so you can log in once, or should it also support reusing a saved session profile for future runs? Let’s discuss detail via chat.

@Hemantt841

I understand you require a Python script to scrape all product links from a single Facebook Marketplace seller page, handling infinite scrolling and outputting the results as a TXT or CSV file. You want the script to focus solely on extracting product URLs without any additional data, and manual login can be used if needed. With over 15 years of experience and more than 200 projects completed, I specialize in Python, web scraping, and automation, including API integration and data extraction. My expertise with Selenium and dynamic websites aligns well with your requirement for a clean, well-structured scraper that navigates infinite scrolling effectively. I will develop the scraper using Selenium to simulate scrolling and load all products on the seller’s page, capturing only the product URLs as requested. The script will save these links line-by-line in a TXT or CSV file, ensuring readability and simplicity. I estimate delivery within 3 to 4 days, allowing time for testing and adjustments to handle Facebook’s dynamic content. Feel free to reach out so we can discuss the details and get started on building a reliable scraper for your needs.

@mahads31

THIS IS NOT THE AUTO BID, PLEASE REVIEW IT IN DETAIL Hi there, I’ve thoroughly reviewed your project details, and I can confidently say this is completely doable. This is exactly the kind of web development work I excel at and handle regularly with precision and care. I’m a skilled web developer with strong experience in Data Processing, Selenium, Web Scraping, Python, JavaScript, Automation, Data Extraction and PHP. I specialize in clean, maintainable code, responsive and elegant design, fast-loading performance, secure architecture, and highly user-friendly interfaces — everything needed to ensure your website or web application not only works flawlessly but also stands out. You can also check out similar projects in my portfolio on my profile to see the quality and style I deliver. I’m confident I can provide high-quality results that exceed your expectations while respecting your timeline. Let’s turn your project into something amazing, sleek, and irresistible.

@GenoraLabs

Hello, I hope you are doing well. I am interested in your project regarding the creation of a Python scraper script for Facebook Marketplace. Before proceeding, I have a few questions: Have you already identified the specific seller pages you want to target? Additionally, while Selenium is a popular choice for web scraping, have you considered the advantages of Playwright in terms of speed and reliability for this project? I plan to approach this project by developing a Python script that efficiently extracts all product links from the specified Facebook Marketplace seller page while ensuring clean and well-structured code. The output will be a file in TXT or CSV format containing the list of product URLs, with support for handling infinite scrolling to capture all products. Core Deliverables: - Extraction of all product links from the seller page - Output file in TXT or CSV format - Handling of infinite scrolling for complete product retrieval I'll share my portfolio with you in the DM. Kindly ping me there. My experience with Python and web scraping technologies ensures a quality and consistent delivery. I’d be happy to discuss your project further and answer any questions. Best regards,

@apkblack17

As an experienced Fullstack Developer with a key specialization in Python and previous projects involving detailed web scraping such as in the mining and textile industries, I believe I'm the best-fit candidate for this Facebook Marketplace scraper task. Over the years, I have developed a sharp understanding of data processing using Selenium and Playwright - which happen to satisfy your technical requirements. Besides delivering clean, readable, and well-structured code that aligns with industry best practices, I am also adept at handling dynamic websites, allowing me to efficiently navigate Facebook's ever-changing structures. My proficiency in automating mundane tasks for greater efficiency stems from my experience in creating various ERP applications integrated with different systems – a skill-set I'd be putting to great use in your project. On top of it all, I continually prioritize effective communication and troubleshooting. So you can rest assured that not only will you receive a finished project on time but that every aspect of our work together will be transparent. With an open budget, let's discuss how my strong technical background and passion for crafting innovative solutions can add value to your project while meeting - if not exceeding - your expectations. Let's get started!

@peterb212

Hello, With a decade of experience in full-stack development marked by an ability to engineer custom solutions, I am the perfect match for this project. My automation skills in Python would allow me to effortlessly create the scraper script that you require for Facebook Marketplace. I’ve previously worked with dynamic websites and have familiarized myself with the ins-and-outs of Selenium and Playwright. Moreover, my proficiency extends beyond just creating the script but also handling infinite scrolling, extracting necessary information (product links) while ignoring all others, and conveniently delivering this on a single file (TXT/CSV format) - all aligned with your specific requirements. My expertise, further refined through working on high-transaction systems like those in the financial industry, assures you of showcasing how clean, runnable, and well-structured my code is. Help me contribute my diverse skills to your success. Do consider my application! Thanks!

@fabians80

As a seasoned Full Stack Developer adept in JavaScript, PHP, and Python, I believe I'm highly suited for this project. I've specifically worked with both Selenium and Playwright, extensively dealing with dynamic websites just like Facebook Marketplace. My focus on creating clean, structured code will ensure a seamless extraction process that aligns perfectly with your requirements. In terms of experience, I have successfully completed projects involving similar Facebook Marketplace scraping tasks in the past. Understanding your specific need for product links only, I'll diligently configure my script to extract just that and deliver it in a neat TXT or CSV file format. With regards to scalability, my repertoire includes managing infinite scrolling to flawlessly retrieve all products while handling any potential bottlenecks alongside. Considering my blend of skills, experience, and toolkit with Python at the heart of it all, I am confident that I can provide a commendable solution within a reasonable timeframe. Therefore, I welcome the opportunity to bring efficiency to your project and look forward to discussing further details with you. Let's make this happen together!

@imranhaider2018

Hey , I just went through your job description and noticed you need someone skilled in PHP, Selenium, Automation, Python, Data Extraction, Web Scraping, Data Processing and JavaScript. That’s right up my alley. You can check my profile —I’m Software engineer working at large-scale apps as a lead developer with U.S. and European teams. I’ve handled several projects using these exact tools and technologies. Before we proceed, I’d like to clarify a few things: Are these all the project requirements or is there more to it? Do you already have any work done, or will this start from scratch? What’s your preferred deadline for completion? Why Work With Me? 1) Over 230 successful projects completed. 2) I have not received a single bad feedback since the last 5-6 years. 3) You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. 4) Long-term track record of happy clients and repeat work. I prioritize quality, deadlines, and clear communication. Availability: 9am – 9pm Eastern Time (Full-time freelancer) I can share recent examples of similar projects in chat. Let’s connect and discuss your vision in detail. Kind Regards, Imran Haider

@jorgef75

Hello, As a seasoned AI Full-Stack developer with seven years of experience, I've developed a broad range of skills that encompass every aspect of the project you've described. My proficiency in Python and familiarity with Playwright make me the perfect candidate for your Facebook Marketplace scraping needs. In previous projects, I've utilized both Selenium and Playwright to navigate dynamic websites and retrieve specific information accurately and efficiently. My background in crafting robust APIs using Python also ensures that my final code will be clean, runnable, and well-structured as you require. I understand that for this task, it's crucial to avoid gathering irrelevant data, focusing solely on extracting links. With my attention to detail, we can ensure that your script grabs only the necessary URLs with complete precision to help scale your marketplace operations faster and more seamlessly. When it comes to budget and delivery time, let's discuss your requirements further to establish a fair agreement. Choose me for effective and intelligent solutions that leverage cutting-edge technologies for maximum efficiency. Thanks!

@gilbertk49

Hello, Having extensive experience in developing automation tools and web scrapers, I am confident that I can deliver an efficient and reliable solution aligning with your project requirements. I have executed scraping projects for various eCommerce platforms previously, including Facebook Marketplace, giving me valuable insights into its intricacies. As a result, I am well-versed in leveraging both Selenium and Playwright to handle the dynamic nature of marketplace sites effectively. My end-to-end system design approach ensures that not only will the script efficiently extract all the product links you need, but it will also do it seamlessly even with infinite scrolling. This will result in clean and structured output files (TXT or CSV) comprising all the seller's product URLs, one per line. In fact, if you need any adjustments made or additional enhancements, I'll be more than happy to accommodate them during the development process. Given my versatility and deep understanding of web technologies like Python, JavaScript, PHP - all crucial for this project - I'm confident that we can deliver exceptional results together. Furthermore, my commitment to long-term maintainability and code readability ensures that even after our collaboration ends, you have a reliable and sustainable solution at hand. Let's take this conversation forward so that your Python Facebook Marketplace scraper becomes your ultimate data-mining companion! Thanks!

@BlocKeyFi

Hi, I understand that you are seeking a Python developer to create a focused scraper script for extracting product links from a Facebook Marketplace seller page. My approach to this project involves utilizing Python along with either Selenium or Playwright to navigate dynamic websites effectively. By focusing solely on extracting product links and structuring the code cleanly, the final output will be a list of URLs in a TXT or CSV file format. I have experience in web scraping and can handle infinite scrolling to ensure all products are captured. Upon further discussion, I can provide you with my portfolio showcasing relevant projects and discuss the technical details of my proposed solution. My background in Python development ensures reliable results and professional standards for this task. I'll send over my portfolio via direct message. Feel free to reach out there. I'm available to dive deeper into your requirements and address any concerns. Best regards, Taneem

@proggon

Hi there, I understand you're looking for a Python developer to create a streamlined scraper for Facebook Marketplace that will extract product links from a specific seller page while ignoring any other data. This focused approach ensures you get only the relevant information you need, keeping the output simple and effective. To achieve this, I recommend using Selenium or Playwright to handle the dynamic loading of content. I will develop a clean, efficient script that accurately captures all product links from the seller's page and generates a TXT or CSV file with each link on a separate line. I also have experience with handling infinite scrolling, so you won't miss any items. Additionally, I can easily incorporate a manual login process if necessary to ensure access to the page. Could you please share any specific timelines you have in mind for the project? https://www.freelancer.com/u/proggon Best regards, Wahaj Barlas.

@russs1

⚡⚡⚡⚡⚡ ???????? ???????? ????????? ??? ???????? ??????????? ⚡⚡⚡⚡⚡ Your core challenge is reliably extracting only product URLs from a single seller page while handling Facebook’s dynamic loading and infinite scroll, without collecting unnecessary data. The ultimate goal is a clean, automated, and reusable script that outputs a structured list of links only. I specialize in Python-based automation for dynamic platforms. I’ve built scraping solutions using Selenium and Playwright for JavaScript-heavy sites, including authenticated workflows and infinite scroll handling. Optimal approach: -> Use Playwright (more stable with dynamic rendering and anti-bot handling) -> Support manual login session persistence -> Auto-scroll until no new products load -> Extract unique product URLs only -> Export clean TXT/CSV output (one link per line) -> Deliver modular, well-documented code Estimated delivery: 2–3 days, including testing. Questions: -> Will this be used for one-time extraction or recurring scraping? -> Should the script support multiple seller URLs in the future? -> Do you prefer headless execution or visible browser mode? I can deliver a clean, production-ready solution tailored exactly to your requirements.