8 tools do this job
Give your agent a business's page and get its reviews back as rows: rating, text, date and reviewer, ready to sort, count or read. Three review sites answer through 鹦鹉AI, from 0.11 credits/success, without a Tripadvisor API key, a Yelp Fusion application or a browser of your own. They are not alternatives to each other; the site is the choice.
Billed per call, for what you use. No card required.
6 of the 8 tools that answer this job are live-verified against their upstream.
Try it
1 · Set your agent up, once
set up 鹦鹉AI — https://parrot.amorist.cn/llms.txt
2 · Then ask for the job
Using 鹦鹉AI, pull the last 200 Tripadvisor reviews for this hotel URL, show me the price first, then give me the rating distribution by month and the ten most recent reviews of two stars or fewer in full.
Every tool here takes a URL, a path or a domain. Find the listing first if you only have a name.
The Trustpilot and Tripadvisor tasks take a depth. The count you ask for is the count you pay for.
The rows carry the text. Sentiment, themes and summaries are the agent's job on top.
Why 鹦鹉AI
Charged per call. No card, no minimum; top up the prepaid balance.
Another tool is a different word in the prompt, not a new integration.
From the field
Review data is sold hard: about 25 of the ~120 posts on these three sites in August 2026 were scraper promotions, Apify listings posted from template accounts, and the same lead-gen thread pasted twice. These four are people who tried the official door first.
“Yelp Fusion API "NOT_FOUND" error when requesting reviews (Python)”
r/webscraping
What this page can do about it:The Yelp tool on this page does not go through Fusion at all. It reads the public page by URL and bills per record delivered, so a business that Fusion cannot find is still a page you can point at.
“Is Yelp just a nightmare to scrape, or are no-code tools just not built for this at scale?”
r/scrapingtheweb, 9 points
What this page can do about it:Both, and the answer is to stop running the browser yourself. A per-record tool carries the blocking, the retries and the proxies, and you pay for the rows that arrive. That is what the under-one-credit price buys.
“they cap you at 200 reviews without auth. A `jwt` cookie removes the cap.”
r/webscraping, 7 points
What this page can do about it:A self-built scraper's workaround, and the kind of thing that breaks quietly. The Trustpilot task here takes a depth parameter instead; ask for what you need and read the count that comes back rather than assuming the whole history arrived.
“their API is horrifically expensive for poor old me, and I was not in the mood to build a web scraper”
r/gis, ~800 points
What this page can do about it:鹦鹉AI shows the tool's rate before the call, so the choice between paying and building is a number rather than a mood.
The detail
Tripadvisor wants the review page's path, Trustpilot the business's domain, Yelp the page URL, so the agent resolves a name to a listing first, which is the neighbouring job on this menu. A wrong page returns someone else's reviews, not an error.
A review the site has removed is gone from here too, the rows are as fresh as the crawl behind them, and what you may do with the text is governed by each site's terms and your own use, which no tool settles for you.
Background
A review scraper API returns the public reviews on a business's listing as structured records, rating, text, date, reviewer and the business's reply where there is one, without you running a browser against the site. It exists because the official routes are narrow: Yelp's Fusion API is an application and a plan, Tripadvisor's Content API is an approval, and neither is built for pulling every review of one business. The tools here read the public page and hand back the rows.
Questions
The one the business is reviewed on. Tripadvisor for hotels, restaurants and attractions, Trustpilot for online businesses by domain, Yelp for local services in North America. Pulling from the wrong site returns a short, misleading list.
You can ask for a depth, and the task returns up to that many. Whether every review of a business with thousands comes back is a property of the site, so check the count against the listing rather than assuming.
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