Company reviews & repliesCollect the public Trustpilot reviews of your company and its competitors. Read the complaints, the praise and how each company replies, then schedule a run to catch every new review.
Try these examples for marketing, growth and competitor research.
Run a weekly collection with Published since set to 7 days. Group the 1- and 2-star reviews by topic, such as delivery, returns or customer service, and share the list with the team that can fix it.
Keep a dated complaint log with review links and the topic you assigned.
Collect recent reviews of three competitors. Note what their customers praise and what they complain about, then look for problems your product solves better.
Write a positioning brief that quotes reviews and links to each source.
Check which negative reviews received a reply and how long it took. Compare your reply rate with competitors and pick examples of good responses.
Keep a reply benchmark with the reply text and dates for each company.
FROM FIRST RUN TO REPEATABLE WORKFLOW
{
"companies": ["gymshark.com"],
"maxReviewsPerCompany": 100
}Paste this into the Actor’s JSON input editor. Replace the example targets with yours before running.
Check the current input form on ApifyGive the scraper a company website, a Trustpilot link or a company name. Websites and links point to one profile; names can match several. Filters for stars, language, date and verification narrow the reviews before they are collected.
| Search method | When to use it | What changes |
|---|---|---|
| Website domains | When to use itYou know the exact entity you want to collect. | What changesA website such as gymshark.com finds the company’s one Trustpilot profile. It is the most reliable target for a watchlist. |
| Trustpilot links | When to use itYou already configured the search on the source website. | What changesA Trustpilot page from any country gives the same company. Filters in the link, such as stars=1 or languages=de, are kept. |
| Company names | When to use itYou want to find relevant results before choosing specific targets. | What changesA name such as Gymshark reads every Trustpilot profile listed under it, which can include regional sites or similarly named companies. Check company_domain in the results. |
Trustpilot shows a signed-out visitor 200 reviews per view, and each star rating and language is its own view. The scraper reads every view, so most companies come complete. For the largest brands, busy views give their newest 200; schedule a run with dateFrom to collect every new review from then on.
Compare the related scraperUse the exact field names below in JSON. In Apify’s form, enter list items separately, choose filters, and keep numbers and booleans in their proper types.
Default and prefill are different. A default applies when you omit a setting; a prefill is an example already entered in Apify’s form. Review prefilled targets and limits before every run. Some settings have no schema default. You still need to supply at least one supported target.
companiesOne company per line: its website (gymshark.com), its Trustpilot page from any country’s Trustpilot, or its name. A pasted Trustpilot link keeps its own star and language filters. A name reads every profile Trustpilot lists under it.
starsOnly reviews with these star ratings, as strings from 1 to 5. Select 1 and 2 for negative reviews. Empty means every rating.
languagesOnly reviews written in these languages, as codes or names such as en, de or French. Each language is a separate view on Trustpilot, which can also help large companies return more reviews. Empty means every language.
dateFromOnly reviews published on or after this date. Use YYYY-MM-DD or a relative period such as 30 days or 6 months. With a daily or weekly schedule, a relative date collects only what is new.
verifiedOnlyKeeps only reviews Trustpilot marks as verified. Leave it off for a full picture, since many genuine reviews are not verified.
maxReviewsPerCompanyThe newest this many reviews of each company. Start with 100. Empty means every review a signed-out visitor can read.
maxReviewsA hard cap on reviews across the whole run, for every target together. Use it to limit runtime and cost. Empty means no overall cap; the per-target limit still applies.
proxyConfigurationThe US residential proxy is the working default. Trustpilot lets a browser through on a residential exit, and other settings fall back to it when Trustpilot refuses them.
resumeSaves progress about every 30 seconds so an Apify restart or migration can continue the current run. Leave it on for normal use.
continueFromLastRunContinues unfinished work from the previous run with matching input. Earlier results remain in that run’s dataset. Keep false for a fresh collection or a recurring snapshot.
This reference follows the Actor’s published input fields. Check the live form before changing a production workflow. Check the current input form on Apify.
Each example is a separate run. Start small, inspect the results, then increase coverage. Update the targets, countries and dates to match your question.
Schedule this weekly. dateFrom set to 7 days collects only the reviews published since the last run, so nothing new is missed even for large brands.
{
"companies": ["gymshark.com"],
"dateFrom": "7 days",
"maxReviewsPerCompany": 500
}Collect 1- and 2-star English reviews from the last 90 days for three companies, up to 200 each. Group the complaints by topic to see where each competitor falls short.
{
"companies": ["gymshark.com", "nike.com", "adidas.com"],
"stars": ["1", "2"],
"languages": ["en"],
"dateFrom": "90 days",
"maxReviewsPerCompany": 200,
"maxReviews": 600
}Collect verified German, French and Spanish reviews of one company. Each language is its own Trustpilot view, so this also reaches reviews that an all-language run of a large brand can cut short.
{
"companies": ["gymshark.com"],
"languages": ["de", "fr", "es"],
"verifiedOnly": true,
"maxReviewsPerCompany": 300
}Expect one row per review with its rating, text, dates, reviewer and the company’s reply, plus the company’s TrustScore and review count. The run’s SUMMARY record shows how many reviews Trustpilot lists for each company and how many were collected. Each company’s full profile is saved as the COMPANIES record in the key-value store.
resume protects the current run if Apify restarts it. continueFromLastRun continues an earlier run with the same configuration; earlier records stay in the earlier dataset. Combine both datasets for the complete collection, and raise a previously reached result cap when continuing. Start fresh when you want to see what changed today.
Save one configuration above as input.json. Set APIFY_TOKEN to your Apify API token in your terminal, then send the file as the request body.
curl --fail-with-body --request POST \
--url "https://api.apify.com/v2/actors/jmlp~trustpilot-reviews-scraper/runs" \
--header "Authorization: Bearer $APIFY_TOKEN" \
--header "Content-Type: application/json" \
--data-binary @input.jsonThe response contains a run ID and defaultDatasetId, not finished results. Wait for the run to succeed, set DATASET_ID to that dataset ID, then fetch its items. For large datasets, use limit and offset to page through the export.
curl --fail-with-body \
--url "https://api.apify.com/v2/datasets/$DATASET_ID/items?format=json" \
--header "Authorization: Bearer $APIFY_TOKEN"Change one setting at a time, keep a small cap, and check the run summary before scaling up.
Trustpilot shows a signed-out visitor 200 reviews per view, and each star rating and language is its own view. The scraper reads every view, so most companies come complete. For the largest brands, busy views give their newest 200; schedule a run with dateFrom to collect every new review from then on.
A name such as Gymshark reads every Trustpilot profile listed under it, which can include regional sites or similarly named companies. Check company_domain in the results.
The US residential proxy is the working default. Trustpilot lets a browser through on a residential exit, and other settings fall back to it when Trustpilot refuses them.
Success means the Actor finished handling the request, not that the source returned data. Check SUMMARY.inputProblem, SUMMARY.problem and the log for missing targets, unsupported filters or refused requests. Test one known target with fewer filters.
Check the global limit, per-search or per-page limits, platform coverage and deduplication. Several searches can find the same record. A source’s headline count can include records the public endpoint does not return. Review unfinished jobs before treating the dataset as complete.
Append review_id, company, rating, published_at, reviewer country and reply status. Add columns for topic and owner, then filter the 1- and 2-star reviews each week.
Read the setupAsk Claude to group complaints and praise by topic, quoting review_url for each example. Have it separate what customers wrote from its own suggestions.
Read the setupChart average rating and review volume by week and company. Add filters for star rating, language and reply status, and show the collection date.
Read the setupKeep reviews keyed by review_id with the collection time. Store company snapshots, such as TrustScore and review count, in a separate dated table.
Read the setup
Inspect jmlp/trustpilot-reviews-scraper, then collect up to 200 reviews of gymshark.com published in the last 90 days. Group the complaints and praise by topic, quote the review_url for each example, and report the share of negative reviews that received a reply. Do not treat the reviews as a representative customer survey.Keep the collection time and original IDs with your records. You’ll need them to check where a result came from or compare it with a later run.
Trustpilot shows a signed-out visitor 200 reviews per view of a company, and each star rating and language is its own view. Most companies come complete, but the busiest views of the largest brands give their newest 200. Reviews come from people who chose to write one, so they aren't a representative customer survey. Invited and organic reviews can differ, so check review_source before comparing companies.
No. The scraper reads public Trustpilot reviews as a signed-out visitor. You need an Apify account to run it.
Trustpilot shows a signed-out visitor 200 reviews per view. The scraper reads every language and star-rating view, so only views with more than 200 reviews are cut short. Schedule a run with Published since to collect every new review from then on.
Source and current product details: JMLP’s Trustpilot Reviews Actor on Apify.
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Tell me what you need to collect or understand. I can help with a custom scraper, a pipeline or the analysis.
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