Build a Flipkart review corpus for model evaluation
Created by
Khadin Akbar
Collect review text, ratings, and reviewer metadata from Flipkart products to create a grounded evaluation corpus.
Flipkart Reviews Scraperkhadinakbar/flipkart-reviews-scraper
Record type
Rating
Title
Review text
+9 fieldsTextNumberBooleanListObject
Input
Flipkart product or product-reviews URLs(required):https://www.flipkart.com/samsung-galaxy-m35-5g-thunder-grey-128-gb/p/itm24a2a82cf1782?pid=MOBH2Z9HJYYQBFGD
Max reviews per product:10
Sort reviews by:MOST_HELPFUL
Include product rating summary:false
Output fields
Record type
Rating
Title
Review text
Reviewer name
Reviewer location
Verified purchase
Review date
Helpful votes
Unhelpful votes
Reviewed variant
Product PID
Scraped at
Sign up on Apify01
Create your Apify account to access the Flipkart 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.
