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Facebook Group Job Announcement Review
Collect public group posts with text, author references and dates for a manual review of job announcements in a community. Recruiters can select relevant posts and verify the source offer themselves. This task returns the accessible feed and does not filter for jobs or confirm that vacancies remain open.
Facebook Group Posts Scraper - Public Feed Exportscrapingmonkey/facebook-group-posts-scraper
Input
Status
ID
Story ID
+47 fieldsTextNumberBooleanListObject
Input
📄 Pages per group:1
👥 Facebook Group IDs or URLs(required):Python
Output fields
Input
Status
ID
Story ID
URL
Type
Message
Timestamp
Published At
Reactions Count
Comments Count
Shares Count
Views Count
Image URL
Thumbnail URL
Video URL
Feedback ID
Is Sponsored
Is Pinned
Author / ID
Author / Page ID
Author / Username
Author / Name
Author / URL
Author / Profile Picture URL
Author / Is Verified
Reactions / ID
Reactions / Type
Reactions / Count
Media / ID
Media / Type
Media / URL
Media / Image URL
Media / Thumbnail URL
Media / Video URL HD
Media / Video URL SD
Media / Dash Manifest URL
Media / Dash Manifest
Media / Duration Ms
Media / Width
Media / Height
Media / Alt Text
Media / Captions URL
Source Group / ID
Source Group / Username
Source Group / Name
Source Group / URL
Source Group / Profile Picture URL
Source Group / Privacy
Source Group / Members Count
Source Group / Members Text
Sign up on Apify01
Create your Apify account to access the Facebook Group Posts Scraper - Public Feed Export.
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.
