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Build an AI dataset from Target reviews
Created by
Hanna Nosova
Collect a compact Target product review dataset with ratings, review text, recommendation flags, and product context for AI analysis.
Target Reviews Scraper — Export to CSVfetch_cat/target-reviews-scraper
Product URL
TCIN
Product title
Brand
+16 fieldsTextNumberBooleanListObject
Input
Target product URLs
url:https://www.target.com/p/apple-airpods-pro-2nd-generation-with-magsafe-case-usb-c/-/A-85978622
Maximum reviews:1
Review sort order:most_recent
Output fields
Product URL
TCIN
Product title
Brand
Product average rating
Product reviews count
Product recommendation percentage
Review ID
Review title
Review text
Review rating
Reviewer nickname
Review submitted at
Reviewer recommends product
Helpful votes
Verified purchaser
Syndicated review
Review source
Requested review order
Extracted at
Sign up on Apify01
Create your Apify account to access the Target Reviews Scraper — Export to CSV.
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.
