Trustpilot Mobile Proxies for Review Monitoring

Trustpilot hosts public reviews for a very wide range of businesses, and those reviews show up in search results, ads and buying decisions. Brands monitor their own profile, analysts study sentiment across a category, and trust and safety teams look for coordinated review attacks against a business they represent. The pages are public and simply paginated, which makes careful collection straightforward. The reviews are also personal statements by identifiable people, which makes careful storage essential. This page covers both sides for teams using a dedicated WeProx US mobile line.

Check the official options

Trustpilot offers APIs and integrations for businesses, primarily for their own reviews, invitations and widgets. If you are monitoring your own company, that route gives you structured data, reply workflows and alerts without any collection code, and it is the right first stop. The public website is still useful for comparing peers, for studying how a profile appears to a US visitor, and for teams that have not yet set up an integration.

How profile pages paginate

A business profile lists reviews newest first by default, a fixed number per page, with a page parameter in the URL. Filters narrow by star rating, and by default the page may show reviews in the visitor's language, with a control to show all languages. That default is a quiet trap: a collector with a US English setup sees English reviews only and may report a smaller total than the profile's headline count. Decide whether you want all languages, set the filter explicitly, and record which setting each run used.

For ongoing monitoring you rarely need deep pages. Walk from page one until you reach a review you already stored, then stop. That turns a daily job into a few requests per profile. A full historical backfill is a one-time walk that should be spread over time rather than run at speed.

Running the walk on a WeProx line

Use one sticky session per business profile, walk its new pages with pauses that vary, then rotate and start the next profile with fresh cookies. Keep concurrency per line low. A WeProx line is a single US carrier device dedicated to you, and its public address is shared through CGNAT with many ordinary phone users, so the site cannot treat it as a bot range and judges requests by behavior instead. That only helps if the behavior is gentle. Trustpilot's terms govern automated access, so read them, keep requests proportional to what you monitor, and stop a session that meets a challenge.

• Daily: page one onward until a known review ID appears.
• Backfill: once, spread over several days.
• Language filter: set explicitly and log it.

Store the least you need

Each review carries a display name, a country, a date, a rating, a title and text. For sentiment and trend work you need the rating, date, text and perhaps country. You rarely need the reviewer's name at all. Drop or hash it at ingestion, do not build profiles of individual reviewers across businesses, and honor removals by deleting reviews that disappear from the site. Privacy laws such as the California rules on personal information apply to your copy even though the review was public. Aggregate results are what the analysis needs anyway.

Spotting coordinated activity

When a business you represent is targeted by a burst of fake reviews, the pattern is often visible in your own data: an unusual number of one-star reviews in a short window, similar wording, new reviewer accounts. Report suspected fake reviews through Trustpilot's own flagging process with your evidence. Never respond by generating counter reviews; that breaks Trustpilot's rules and consumer protection law.

Troubleshooting

A total that does not match the headline count is usually the language filter. Pages that load without review blocks were likely challenge pages; check body size. Failures right after a rotation are the modem re-attaching. Metro rarely matters for Trustpilot, so any WeProx city with stock works.

If counts jump overnight for a peer, check whether Trustpilot removed or restored reviews before calling it a trend.

Setting up a Trustpilot proxy on WeProx

1. Check whether Trustpilot's business tools already cover your own profile.
2. Order a WeProx line and copy host, port, credentials and rotation URL.
3. Set the language filter explicitly for every profile walk.
4. Walk new pages until a known review ID appears, then stop.
5. Drop or hash reviewer names at ingestion.
6. Rotate between profiles and alert on body size drops.

Trustpilot proxy questions