Subscription figures are provider list prices recorded in treg.to’s own catalog grid; per-call prices are what treg.to charges today, with $0.000 added.
set up treg — https://treg.to/llms.txt
Using treg, 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 provider 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.
One provider bills per record delivered, the other per task. Ask which is cheaper for your count.
The rows carry the text. Sentiment, themes and summaries are the agent's job on top.
treg.to holds the provider keys. Neither you nor the agent sees them.
The provider's own rate, $0.000 markup, from a prepaid balance.
Charged per call. $1.00 free per new team, no card to start.
Already pay Hunter? Register it and those calls are never metered.
Another provider is a different word in the prompt, not a new integration.
No SDK, no OAuth dance per vendor, no seats.
treg.to does not choose for you. It hands ChatGPT this comparison, with the price shown before any call, and ChatGPT picks. Or you tell it how: "cheapest", "most reliable", "the one that takes what I have", or a provider by name.
Bright Data at $0.0015 · Trustpilot
DataForSEO at $0.00075 · Tripadvisor
Those units are not interchangeable: one call can return many results, so compare on the unit you will actually be billed in.
| Provider | Success | Median | Sample |
|---|---|---|---|
| 100% | 545ms | 7 calls |
Measured on treg.to traffic: real calls, real inputs, and sample sizes differ by provider. Live reliability, not a controlled benchmark.
| Provider | Price | Accepts | Success rate | Verified |
|---|---|---|---|---|
| $0.00075 per call | url_path, keyword, location_name, location_code, priority, language_name | (1 calls) | 2026-07-28 |
| Provider | Price | Accepts | Success rate | Verified |
|---|---|---|---|---|
| $0.0015 per result | dataset_id, format, input | (2 calls) | unverified | |
| $0.0015 per call | domain, sort_by, priority, depth, tag, postback_url | 100% (7 calls) | 2026-07-28 |
| Provider | Price | Accepts | Success rate | Verified |
|---|---|---|---|---|
| $0.0015 per result | dataset_id, format, input | (5 calls) | unverified |
treg call brightdata.x.trustpilot-reviews
Swap the id for any provider above. All 4 endpoints behind this job, with their parameters and captured responses, are on the Tripadvisor, Trustpilot, Yelp shelf.
Review data is sold hard: about 25 of the ~120 posts on these three sites in August 2026 were scraper vendors, 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 provider 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 provider carries the blocking, the retries and the proxies, and you pay for the rows that arrive. That is what the fraction of a cent 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: The page shows the provider's rate before the call, in fractions of a cent per record or per task, so the choice between paying and building is a number rather than a mood.
Bright Data delivers records and bills per record delivered, on Yelp and Trustpilot. DataForSEO runs a task, on Tripadvisor and Trustpilot, and bills per task at a fraction of a cent whatever the depth returns. For a few dozen reviews the difference is nothing; for a business with thousands, ask the agent to price both before it starts.
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 provider settles for you.
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 providers here read the public page and hand back the rows.
No. Neither provider here uses the sites' official APIs. They read the public listing page and return the reviews as records, billed to your treg.to balance at the provider's rate with $0.000 markup.
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.
The reviews on a listing you own or manage are the Business Profile job on this menu, free on your own account. This page covers the three public review sites.
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.