Build a browser automation tool to collect high-engagement Facebook posts
Budget: $10 – $30 USD
I need a desktop application that helps me research products advertised on Facebook.
The tool should:
Open Facebook in a browser that I log into.
Browse the Facebook feed.
Identify posts that meet criteria I specify (for example, sponsored posts or posts with at least 50 comments).
Save information from matching posts, such as:
Page name
Post URL (if available)
Comment count
Reactions (if available)
Images or video links where feasible
Export the collected data to Excel or CSV.
Include filters such as:
Minimum comment count
Date found
Keywords
Run on Windows.
The tool should be easy to use and should respect Facebook's terms of service.
Preferred technologies:
Playwright or Selenium
Python or Node.js
Simple desktop interface (Electron, Streamlit, or similar)
The tool should:
Open Facebook in a browser that I log into.
Browse the Facebook feed.
Identify posts that meet criteria I specify (for example, sponsored posts or posts with at least 50 comments).
Save information from matching posts, such as:
Page name
Post URL (if available)
Comment count
Reactions (if available)
Images or video links where feasible
Export the collected data to Excel or CSV.
Include filters such as:
Minimum comment count
Date found
Keywords
Run on Windows.
The tool should be easy to use and should respect Facebook's terms of service.
Preferred technologies:
Playwright or Selenium
Python or Node.js
Simple desktop interface (Electron, Streamlit, or similar)