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US Brand Review & Reply Research

Compare Nike and Adidas public Trustpilot samples: up to 10 recent reviews per brand, all ratings, without a proxy. Export ratings and observed replies for your own CX report. Reviews can be global; no US-only filter, built-in sentiment or cross-run history. Not newly live tested. No schedule.

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Trustpilot Reviews Scraper - Brand Ratings & Replies
Trustpilot Reviews Scraper - Brand Ratings & Repliesfascinating_lentil/trustpilot-reviews-scraper
Company
Stars
Title
Review
+9 fields
Text
Number
Boolean
List
Object

Input

Company Domains or Trustpilot Slugs:nike.com+1
Trustpilot Company URLs
Max Reviews Per Company:10
Sort Reviews By:most_recent
Filter By Star Rating:all
Verified Reviews Only:false

Output fields

Company
Stars
Title
Review
Experience Date
Posted Date
Verified
Useful
Company Reply
Reply Date
Review URL
Review ID
Scraped At

How it works

Sign up on Apify or log in

The Trustpilot Reviews Scraper - Brand Ratings & Replies Actor is ready to run with the inputs already set for "US Brand Review & Reply Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "US Brand Review & Reply Research" task

The Trustpilot Reviews Scraper - Brand Ratings & Replies Actor will start running based on the input automatically. You can also change all the input fields, like company domains or trustpilot slugs, trustpilot company urls, and more, to match your specific use case.

Receive the "US Brand Review & Reply Research" 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 company, stars, 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 "US Brand Review & Reply Research" task via API.

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Integrate "US Brand Review & Reply Research" into your workflow

Connect "US Brand Review & Reply Research" with 100+ integrations, or run it via API or MCP.

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