Build a browser automation tool to collect high-engagement Facebook posts

@hiberokpars

Hi! I have extensive experience building browser automation and web scraping tools. I can develop a Node.js + Playwright desktop application with a simple interface that opens Facebook, lets you work with your own account, filters posts based on your criteria, and exports the collected data to Excel or CSV. The application will be easy to use and well documented.

@glanegonsalves

Hey there Glane here, I can build a Windows web application using Python, Playwright (or Selenium, if preferred), and Streamlit that allows you to securely log into Facebook, browse your feed, identify posts matching your specified criteria (such as sponsored posts, minimum comment count, keywords, or date found), and extract details including page name, post URL (where available), reactions, comment count, and media links. The application will provide an intuitive interface with configurable filters, export results to Excel/CSV, include robust error handling and logging, and be designed to operate in a way that respects Facebook's terms of service while remaining easy to maintain and extend.

@maxscender

I can help you build this tool. I’d use Playwright with a persistent browser profile so you log into Facebook once, then it scrolls the feed, identifies posts based on your filters (minimum comments, keywords, sponsored markers), and extracts page name, post URL, reactions, comment count, and media links. The interface can be a simple Streamlit or Electron desktop app that exports results to CSV/Excel. I’ll include duplicate detection, scroll-depth control, and a stop/resume mechanism to keep it practical and avoid unnecessary load.

@dfordesigners

Hello, I can help you build a browser automation tool to collect high-engagement Facebook posts that meets your specified criteria. My focus will be on creating a user-friendly desktop application using Python and Selenium, ensuring it efficiently gathers the required data while respecting Facebook's terms of service. I will ensure the tool is easy to use, with features to filter posts based on comment count, keywords, and more, while also providing export options to Excel or CSV. The bid is an opening estimate, and we can refine it once I understand the full scope and your specific requirements. Do you have any particular design preferences or additional features in mind for the interface? Best regards, Kausar & Team

@muneeb6767

I can build a Windows desktop application using Python + Playwright with a simple GUI that lets you log into Facebook in your own browser session, apply configurable filters (keywords, minimum comments, sponsored posts where available), collect the permitted post metadata, and export the results to Excel/CSV. The solution will feature clean, modular code, configurable search rules, progress tracking, and documentation, while being designed to operate within Facebook's terms of service and avoid unnecessary requests.

@amrkhaled32

Hi! Rawan here. Now this is my kind of project—building automation that's actually useful. I can build a Windows desktop application that assists with researching Facebook ads while keeping you in control of the browsing session. The application will launch a browser for you to log in, then monitor your feed and collect information from posts that match your criteria. My background includes Python automation, Selenium, Playwright, web scraping, REST APIs, data processing with Pandas, and building desktop tools, so this fits perfectly. I'll also make the code modular so adding new filters or export fields later is straightforward. One important note: since Facebook frequently changes its interface and has rules governing automation, I'll design the tool to work with your logged-in browsing session and within the practical limits of what's available through the interface, avoiding unnecessary automation that could make it fragile. You won't receive a quick script that breaks after a week—you'll receive a maintainable desktop application with clean, documented code that's easy to extend as your research needs grow. Send me the detailed matching criteria, and I'll start building it. By the time we're done, you'll have your own Facebook research assistant doing the repetitive work while you focus on finding winning products.

@shakilan4

Hi, I’m Shakila Naz, a Python/Playwright automation developer experienced in browser automation, data extraction, filtering, and Excel/CSV reporting. I can build a clean Windows desktop tool that works with your logged-in Facebook session, identifies posts based on your filters, collects available post data and media links, and exports everything into Excel/CSV. I’ll keep the architecture modular, user-friendly, and aligned with Facebook’s permitted automation practices. Best Regards, Shakila Naz

@Azursol

Greetings, It seems you're looking for a tool that can effectively sift through Facebook posts to identify high-engagement content, particularly for product research. This involves automating the browsing process, filtering posts based on specific criteria, and collecting valuable data for analysis. I can help you build an efficient desktop application that meets these needs while ensuring compliance with Facebook's terms of service. How to achieve this: - Develop a user-friendly interface using Electron or a similar technology to make navigation seamless. - Utilize Playwright or Selenium with Python or Node.js for robust web scraping capabilities to gather the necessary post data. - Implement filters for comment count, date, and keywords to refine your search results. - Facilitate easy export of the data to Excel or CSV formats for your convenience. With my skills in Python and web scraping, I can deliver a reliable tool that helps you stay on top of engaging content.

@mahads31

With over a decade of professional experience, I am well-versed in the exact web automation technologies needed to complete your project. My expertise with Python and Node.js paired with the use of potent automation frameworks, like Playwright or Selenium, makes me an excellent fit for this task. This includes building tools that respect Facebook's terms and conditions while scraping the platform for targeted information. Additionally, my skills extend beyond just writing code. I can create a user-friendly desktop interface using Electron or Streamlit to keep the need for separate platforms at bay. My background ensures that our automated research tool will be able to identify posts that meet your specific criteria like sponsored posts or posts reaching a certain number of comments. All vital information would be saved without hassle and exported to Excel or CSV for fluid accessibility. Lastly, I firmly believe that effective project management is pivotal for success, which is why my clients appreciate my strong emphasis on communication and time management throughout. Rest assured you have found your long-term partner with me as I am always dedicated to delivering efficient, reliable digital solutions designed for your business' lasting growth. Let's transform your brilliant idea into a high-impact digital product together!

@nexvative

Hi, I can build a Windows desktop application that automates Facebook product research using Playwright or Selenium with Python. I have extensive experience developing browser automation, web scraping tools, and data extraction applications with clean desktop interfaces. The application will allow you to log into your own Facebook account, browse the feed, identify posts based on your custom filters (sponsored posts, minimum comments, keywords, etc.), and collect details such as page name, post URL, reaction count, comment count, media links, and discovery date. The extracted data will be organized and exported to Excel or CSV with configurable filtering options. The solution will include: • Easy-to-use desktop interface • Customizable search and filtering criteria • Reliable browser automation using Playwright/Selenium • Excel/CSV export • Logging, error handling, and clear documentation • Clean, modular source code for future enhancements

@MariamKotob

Hi there, I built a Playwright pipeline that scrapes a live Arabic/English business directory, deduplicates records, and exports structured data to a Streamlit dashboard with the same moving parts as what you're describing here. Two things worth flagging before we scope it: 1. Budget: the range posted ($10–30) won't cover the build. I'd need $90–110 for a solid, tested tool. 2. Facebook TOS: automated scraping of a logged-in feed violates Meta's terms, which you mentioned wanting to respect. The honest fix is a semi-automated mode, the tool opens Facebook in a real browser you control, highlights matching posts, and you confirm before anything is saved. Same output, no TOS exposure, and actually more reliable than pure automation, which FB actively blocks. Worth a quick message to align on scope before I write a spec?

@enervell

Hello! I can build a clean, desktop-based browser automation tool using Python and Playwright/Selenium. The tool will browse feeds, detect high-engagement posts based on your comment/reaction thresholds, extract image/video links and post metadata, and automatically export structured CSV/Excel reports. Ready to deliver a fast, reliable Windows tool!

@codeandcommand

I have done Selenium scraping tools like this before. For a Facebook ad research desktop app, I would run a headless browser session with cookie based login, scroll and capture posts by engagement count, then export to CSV or a local DB. Working prototype in 3 days. The budget and timeline here are starting points based on the post as written, final numbers come after we talk through the full scope. Want me to send a quick plan?

@Zahi9

I build Playwright/Selenium desktop tools like this regularly for product-research use cases. My plan: a Python + Playwright backend that drives a real Chrome session you log into manually (so your own session/cookies are used, keeping things within a normal logged-in browsing pattern), scrolling and reading the feed DOM to identify posts matching your filters (sponsored flag, comment count, keywords, date), then writing page name, post URL, comment count, reactions and media links to a row in your export. I'll wrap it in a simple Streamlit or Electron front-end so you can set filters and hit 'Start/Export' without touching code, and add reasonable pacing between actions so it behaves like normal human browsing rather than hammering the feed. Happy to start with a quick proof-of-concept on the scrolling/detection logic before building out the full export pipeline.

@miguelcen64

I can build this as a Windows-friendly desktop tool using Playwright or Selenium with a simple interface in Python, Node.js, Electron, or Streamlit. The app would let you log into Facebook in a browser session you control, scan the feed, apply your filters, and capture matching posts with available metadata such as page name, URL, comments, reactions, and media links when accessible. I’d structure it for ease of use and reliability: clear filters, export to CSV/Excel, and a workflow that keeps your research organized. I’ll also be careful to design it in a way that respects Facebook’s terms of service and avoids unsafe automation patterns. If you want, I can start with a lean first version focused on search, filtering, and export, then expand it with a polished desktop UI and stronger data collection once the core flow is validated. Best, Miguel

@engruhulajom

Hello There! I’m Ruhul Ajom, and I’m excited to partner with you. I can dive into your project immediately. I have rich experience in browser automation, web scraping, desktop application development, data extraction, and CSV/Excel export tools. I am skilled in Python, Node.js, Playwright, Selenium, Electron, Streamlit, JavaScript, REST APIs, and automation workflow development. I understand you need a Windows desktop application that allows you to browse Facebook after logging into your own account, identify posts based on configurable filters such as sponsored content, minimum comment count, keywords, and date found, collect the required post information, and export the results to Excel or CSV through an easy-to-use interface while respecting Facebook's terms of service. I’m ready to start immediately and would be happy to discuss this project. Looking forward to hearing from you. Best regards, Ruhul Ajom

@Abror86

Hello BUILD A BROWSER AUTOMATION TOOL TO COLLECT HIGH-ENGAGEMENT FACEBOOK POSTS with reliable filtering and exports — the key challenge is collecting useful research data while keeping the workflow stable and within Facebook’s usage rules. I would structure the tool with Playwright/Selenium automation, a lightweight desktop interface, and a data layer that validates captured fields before export. Using configurable filters for keywords, dates, and engagement thresholds will make product research faster without manually reviewing every post. A likely edge case is changes in page layouts or missing engagement data, so the scraper should handle unavailable fields gracefully and continue collecting valid records instead of failing completely. The output would include clean CSV/Excel exports with the captured post details organized for analysis. Do you already have a specific Facebook feed workflow you want automated, or should the tool be designed around a general research process with configurable filters? Regards.

@lazarr4

Hello, I can build a browser automation tool that moves beyond basic scraping to reliably extract high-engagement Facebook posts while staying within platform guidelines. I recently built a similar data extraction system for a marketing agency using Python and Selenium that pulled targeted ad creatives daily and exported them to Google Sheets without triggering blocks. I’ll use Playwright in a headless Chromium instance so the tool can log into Facebook and navigate feeds without visible automation flags. Matching posts will be filtered live by your criteria—comment count, date, and keywords—then saved with page names, URLs, and engagement metrics before exporting to CSV. The Electron shell will keep the interface simple and prevent Facebook from detecting automated browsing. Your research will run faster and stay compliant because the scraper mimics real user behavior instead of hammering endpoints. If this fits your needs, I’d be happy to discuss the login flow and export format before writing the first line of code. Thanks, Lazar.

@Lazarone1

Hello, You need a Windows desktop research tool that can collect and organize Facebook product post data through a simple workflow. I can build a Playwright or Selenium-based solution with a lightweight interface, filtering options, data extraction, and Excel/CSV export. The main focus will be reliable browser automation, structured data collection, and a maintainable design while respecting platform limitations and user account access. Could you clarify the exact Facebook post criteria you want to prioritize, and should the app support multiple saved research profiles or only one user workflow? Best regards. Lazar