Build a Flipkart review corpus for model evaluation
Khadin Akbar
Collect review text, ratings, and reviewer metadata from Flipkart products to create a grounded evaluation corpus.
Input
Output fields
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The Flipkart Reviews Scraper Actor is ready to run with the inputs already set for "Build a Flipkart review corpus for model evaluation". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Build a Flipkart review corpus for model evaluation" task
The Flipkart Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like flipkart product or product-reviews urls, max reviews per product, and more, to match your specific use case.
Receive the "Build a Flipkart review corpus for model evaluation" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, rating, title, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Build a Flipkart review corpus for model evaluation" task via API.
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Connect "Build a Flipkart review corpus for model evaluation" with 100+ integrations, or run it via API or MCP.
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