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Collect Facebook Page review text for feedback research
Collect the public reviews and recommendations exposed by a Facebook Page, retaining text, dates, reviewer names, and source links. Use the records for manual feedback coding or analysis in your own tools; the task does not assign sentiment.
Facebook Page Reviews Scraper โ Recommendationsscrapingmonkey/facebook-page-reviews-scraper
Input
Status
ID
Recommendation ID
+45 fieldsTextNumberBooleanListObject
Input
โญ Facebook Page usernames or URLs(required):Meta
๐ Pages per profile:2
Output fields
Input
Status
ID
Recommendation ID
URL
Text
Timestamp
Published At
Recommendation Text
Recommendation
Is Recommended
Rating
Reactions Count
Comments Count
Shares Count
Reviewer / ID
Reviewer / Page ID
Reviewer / Username
Reviewer / Name
Reviewer / URL
Reviewer / Profile Picture URL
Reviewer / 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 Profile / ID
Source Profile / Page ID
Source Profile / Username
Source Profile / Name
Source Profile / URL
Source Profile / Profile Picture URL
Source Profile / Is Verified
Rating Text
Recommend Percent
Reviews Total
Sign up on Apify01
Create your Apify account to access the Facebook Page Reviews Scraper โ Recommendations.
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.
