Build a topic corpus from public posts
Created by
Khadin Akbar
Collect public Facebook posts that match a topic query so you can assemble a small evidence set for research or review.
Facebook Post Search Scraperkhadinakbar/facebook-post-search-scraper
Post URL
Author name
Post text
Matched terms
+6 fieldsTextNumberBooleanListObject
Input
Search terms(required):mars+1
Source URLs to search within(required)
url:https://www.facebook.com/NASA
Match mode:any
Fields to search:text
Total matches limit:20
Max posts scanned per source:10
Data provider:auto
Output fields
Post URL
Author name
Post text
Matched terms
Timestamp
Reactions
Comments
Shares
Media
Source URL
Sign up on Apify01
Create your Apify account to access the Facebook Post Search Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
