Analyze Negative Facebook Reviews for Service Improvement

Scrape all 'not recommended' reviews from key competitor pages to identify common customer complaints and areas for service improvement. This intel can help ref

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Facebook Reviews Scraper
Facebook Reviews Scrapercrawlerbros/facebook-reviews-scraper
Author
Recommended
Review Text
Date
+3 fields
Text
Number
Boolean
List
Object

Input

Input Mode:search
Facebook Reviews URLs
url:https://www.facebook.com/mcdonalds/reviews
Business Search Queries:Delta Airlines reviews+1
Max Reviews (Global):5
Max Reviews Per Page:150
Sort Order:most_helpful
Recommendation Filter:not_recommended
Date From (YYYY-MM-DD):2024-01-01

Output fields

Author
Recommended
Review Text
Date
Reactions
Comments
URL

How it works

Sign up on Apify01

Create your Apify account to access the Facebook Reviews 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.

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