Trustpilot Company Scraper

Trustpilot Company Scraper creates a structured dataset of companies collected from Trustpilot. Each dataset item represents one company and can include name, TrustScore, stars, review counts, location, categories, optional profile details (contact, verification, activity, rating breakdown), and optional nested reviews. Query the source with search terms (searchQueries), category slugs (categoryIds), or Trustpilot search, category, or review URLs (startUrls). Control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	trustpilot.com
Record unit	One Trustpilot company, with optional nested reviews
Input methods	Search terms (searchQueries), category slugs or URLs (categoryIds), and/or Trustpilot URLs (startUrls)
Main identifiers	companyId, profile URL (url), identifyingName
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, HTML (Apify dataset exports)
Update model	Fresh records per Actor run
Pricing	$1 / 1,000 companies; +$1.50 / 1,000 company details; +$1.50 / 1,000 reviews; Actor start $0.00005

Coverage and available records

The Actor collects public Trustpilot companies from one or more entry points. Provide at least one of searchQueries, categoryIds, or startUrls.

• Search-based: searchQueries (for example Clothing store in United States or dog trainer). country is an ISO code that scopes search and category results (default US).
• Category-based: categoryIds accepts slugs such as cats_dogs or clothing_store, or a category page URL.
• URL-based: startUrls accepts search, category, or company review URLs (for example https://www.trustpilot.com/review/sportdecals.com).

Record types and limits:

• Listing-level companies are always collected: identifiers, TrustScore, stars, review counts, location, categories, and status flags when Trustpilot returns them.
• Company details are conditional: claimed status, verification, contact, activity, rating breakdown, and similar companies are returned when scrapeCompanyDetails is enabled (default false) and charged as company-details.
• Reviews are conditional: a nested reviews array is returned when scrapeReviews is enabled (default false) and charged per review. maxReviews caps reviews per company (default 5; 0 = all).
• Result cap: maxItems limits companies (0 means unlimited; console prefill 10).

Known exclusions: content Trustpilot only shows after login is not collected; each run captures profile state at run time (no historical snapshots); reviews are nested on the company record and are never separate dataset rows.

Data dictionary

Field names below match dataset record JSON properties exactly. Fields marked conditional appear only when the corresponding input toggle is enabled.

Company listing fields

Field	Type	Nullable	Description	Example
companyId	string	No	Trustpilot company identifier; recommended deduplication key	597650820000ff0005a75542
name	string	Yes	Company name	Red Tuna Shirt Club
identifyingName	string	Yes	Domain-style identifying name	redtunashirtclub.com
url	string	Yes	Trustpilot review-profile URL	https://www.trustpilot.com/review/redtunashirtclub.com
website	string	Yes	Company website	https://redtunashirtclub.com
logoUrl	string	Yes	Logo image URL	https://s3-eu-west-1.amazonaws.com/tpd/logos/597650820000ff0005a75542/0x0.png
stars	number	Yes	Star rating	5.0
trustScore	number	Yes	TrustScore	4.9
numberOfReviews	number	Yes	Total review count	3467
numberOfReviewsLast12Months	number	Yes	Reviews in the last 12 months	317
email	string	Yes	Email when shown on the listing or details	hello@redtunashirtclub.com
phone	string	Yes	Phone when shown	888-411-1704
location	object	Yes	{address, city, zipCode, country}	See example record
country	string	Yes	Country as shown	US
countryCode	string	Yes	ISO country code used for the query	US
categories	object[]	Yes	{id, name, isPrimary}	[{"id": "clothing_store", "name": "Clothing Store", "isPrimary": false}]
isRecommended	boolean	Yes	Recommended flag	false
isVerified	boolean	Yes	Verified flag	true
isClaimed	boolean	Yes	Claimed-profile flag	true
isClosed	boolean	Yes	Closed flag	false
isTemporarilyClosed	boolean	Yes	Temporarily closed flag	false
isCollectingReviews	boolean	Yes	Whether the profile is collecting reviews	true
source	string	Yes	Seed type (search, category, or URL)	search
searchQuery	string	Yes	Search term that produced the record	Clothing store in United States
listingType	string	Yes	Listing source label	search

Company detail fields (conditional — scrapeCompanyDetails)

Field	Type	Nullable	Description	Example
verification	object	Yes	{verifiedByGoogle, verifiedPaymentMethod, verifiedUserIdentity}	See example record
contactInfo	object	Yes	Contact object (email, phone, city, country, zip)	See example record
reviewRatings	object	Yes	Star-count breakdown (total, one–five)	See example record
activity	object	Yes	Activity object when Trustpilot returns it	Object as returned by the source
similarCompanies	array	Yes	Similar-company list when shown	Array as returned by the source
hasCollectedIncentivisedReviews	boolean	Yes	Incentivised-review flag	Flag when shown
locationsCount	number	Yes	Location count when shown	Count when shown

Review fields (conditional — scrapeReviews)

Each company record may include a reviews array. One review object:

Field	Type	Nullable	Description	Example
id	string	No	Review identifier	6a71d8f487df15bb35928f39
title	string	Yes	Review title	My son loved getting these each month…
text	string	Yes	Review body	My son loved getting these each month...
rating	number	Yes	Star rating	5
language	string	Yes	Language code	en
likes	number	Yes	Like count	1
source	string	Yes	Review source label	Shopify
publishedDate	string	Yes	Published timestamp (ISO 8601)	2026-08-04T14:20:04.000Z
isVerified	boolean	Yes	Verified-review flag	true
consumerDisplayName	string	Yes	Reviewer display name	Sandra Lincoln
consumerCountryCode	string	Yes	Reviewer country	US

reviewsScraped is the number of reviews attached to that company in this run.

Example dataset record

Company from search Clothing store in United States with scrapeCompanyDetails and scrapeReviews on (maxReviews: 5). The reviews array is shortened to one object.

{
  "companyId": "597650820000ff0005a75542",
  "name": "Red Tuna Shirt Club",
  "identifyingName": "redtunashirtclub.com",
  "url": "https://www.trustpilot.com/review/redtunashirtclub.com",
  "website": "https://redtunashirtclub.com",
  "logoUrl": "https://s3-eu-west-1.amazonaws.com/tpd/logos/597650820000ff0005a75542/0x0.png",
  "stars": 5.0,
  "trustScore": 4.9,
  "numberOfReviews": 3467,
  "email": "hello@redtunashirtclub.com",
  "phone": "888-411-1704",
  "location": {
    "address": "",
    "city": "Houston",
    "zipCode": "77005",
    "country": "US"
  },
  "country": "US",
  "categories": [
    {"id": "printed_clothing_store", "name": "Printed Clothing Store", "isPrimary": false},
    {"id": "clothing_store", "name": "Clothing Store", "isPrimary": false}
  ],
  "isRecommended": false,
  "isVerified": true,
  "source": "search",
  "searchQuery": "Clothing store in United States",
  "listingType": "search",
  "numberOfReviewsLast12Months": 317,
  "countryCode": "US",
  "isClaimed": true,
  "isClosed": false,
  "isTemporarilyClosed": false,
  "isCollectingReviews": true,
  "verification": {
    "verifiedByGoogle": false,
    "verifiedPaymentMethod": true,
    "verifiedUserIdentity": false
  },
  "contactInfo": {
    "email": "hello@redtunashirtclub.com",
    "city": "Houston",
    "country": "US",
    "phone": "888-411-1704",
    "zipCode": "77005"
  },
  "reviewRatings": {
    "total": 3467,
    "one": 19,
    "two": 12,
    "three": 39,
    "four": 169,
    "five": 3228
  },
  "reviews": [
    {
      "id": "6a71d8f487df15bb35928f39",
      "title": "My son loved getting these each month…",
      "text": "My son loved getting these each month and reading about the charter. A great gift for the fisherman in your life!",
      "rating": 5,
      "language": "en",
      "likes": 1,
      "source": "Shopify",
      "publishedDate": "2026-08-04T14:20:04.000Z",
      "isVerified": true,
      "consumerDisplayName": "Sandra Lincoln",
      "consumerCountryCode": "US"
    }
  ],
  "reviewsScraped": 5
}

The record above was produced with this input:

{
  "searchQueries": ["Clothing store in United States"],
  "country": "US",
  "maxItems": 3,
  "scrapeCompanyDetails": true,
  "scrapeReviews": true,
  "maxReviews": 5
}

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array (string)	No*	— (prefill Clothing store in United States)	Company search terms	Search entry point
country	string	No	US	ISO country code (US, GB, DE, FR, …)	Scopes search and category results
categoryIds	array (string)	No*	—	Category slugs or category page URLs	Category entry point
startUrls	array (requestListSources)	No*	—	Trustpilot search, category, or /review/… URLs	URL entry point
maxItems	integer	No	0	0 or any positive integer	Maximum companies; 0 = unlimited (console prefill 10)
scrapeCompanyDetails	boolean	No	false	true / false	Attach profile details (charged as company details)
scrapeReviews	boolean	No	false	true / false	Attach nested reviews (charged per review)
maxReviews	integer	No	5	0 or any positive integer	Review cap per company; 0 = all
proxyConfiguration	object	No	Apify proxy, RESIDENTIAL	Apify proxy groups or custom proxies	Residential proxies are recommended

* Provide searchQueries, categoryIds, and/or startUrls — at least one source is required.

Minimal request:

{ "searchQueries": ["Clothing store in United States"], "country": "US" }

Advanced request (details and capped reviews):

{
  "searchQueries": ["Clothing store in United States"],
  "country": "US",
  "maxItems": 10,
  "scrapeCompanyDetails": true,
  "scrapeReviews": true,
  "maxReviews": 5,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Retrieve the data through the API

Records are delivered through the Apify Actor and Dataset APIs — not an official Trustpilot API.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQueries": ["Clothing store in United States"],
    "country": "US",
    "maxItems": 3,
    "scrapeCompanyDetails": True,
    "scrapeReviews": True,
    "maxReviews": 5,
}

run = client.actor("datascrapers/trustpilot-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item.get("trustScore"), item.get("numberOfReviews"))

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's API tab. Do not put a real API token in shared code or URLs.

Data quality and record handling

• Conditional fields: details and reviews appear only when their toggles are enabled. Listing-only runs return a leaner company record.
• Source changes: Trustpilot page structure and values can change; unreadable fields are omitted or returned as null rather than fabricated.
• Deduplication: within a run, companies are identified by companyId. Across runs, records are appended.
• Failures: one failed company or review page does not stop the run. The run stops if a spending limit is reached.
• Normalization: stars, trustScore, and rating are numeric. publishedDate is ISO 8601. Review text comes from Trustpilot.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL / Supabase	Dataset API poll or webhook consumer	Store company scores and nested reviews
Google Sheets	Apify Google Sheets integration	Share competitor shortlists
CRM / lead tools	Dataset API or completion webhook	Website, email, and phone from claimed profiles
S3 / cloud storage	Scheduled export via Apify scheduler + integration	Archival of reputation snapshots

Pricing and cost examples

The Actor uses pay-per-event pricing. Each run also charges a one-time Actor start. Residential proxies are recommended. Proxy and compute are billed by your Apify plan. Event charges may be tiered on Apify paid plans.

Event	Trigger	Rate
Actor start	Once per run	$0.00005
dataset-item (Company record)	Each company written to the dataset	$0.001 / company ($1 / 1,000)
company-details (Company Details)	Profile enrichment (scrapeCompanyDetails)	$0.0015 / company ($1.50 / 1,000)
review (Review)	Each nested review (scrapeReviews)	$0.0015 / review ($1.50 / 1,000)

Example costs (Actor start negligible; plan-tier discounts not applied):

Records	Configuration	Estimated base cost
1,000	Companies only	$1.00
1,000	Companies + details	$2.50
1,000	Companies + details + 5 reviews each	$10.00

Estimates depend on the verified pricing model and the options selected for the run.

Limitations and responsible data use

• The Actor collects publicly accessible Trustpilot company and review data only.
• Field availability depends on what Trustpilot renders at run time; contact and verification fields can be missing.
• The Actor does not provide historical snapshots unless you store them yourself.
• Large runs should use residential proxies; without them, coverage may degrade.
• You are responsible for compliance with Trustpilot's terms of service, applicable privacy law, and any contractual obligations before using the data.

Dataset questions

What does one dataset item represent?

One Trustpilot company. Reviews, when requested, nest in reviews on that company.

Which field should I use as a unique identifier?

companyId is the recommended deduplication key. url and identifyingName are reasonable secondary keys.

Are fields nullable or conditional?

Yes. Details and reviews exist only when their toggles are enabled. Email, phone, and some status flags can be empty when Trustpilot does not show them.

Can I retrieve the records as CSV or JSON?

Yes. The dataset can be exported as JSON, CSV, Excel, XML, or HTML from the Apify Console, and queried through the Dataset API. Nested reviews flatten according to the export format.

Does the Actor return historical data?

No. Each run captures profile and review state at run time. To track TrustScore or new reviews, schedule repeated runs and store the outputs yourself.

What counts as a billable result?

Actor start once per run ($0.00005), a company charge per company ($0.001), a company-details charge when details are collected ($0.0015), and a review charge per nested review ($0.0015).

Related datasets from Data Scrapers

• Yelp Scraper — Local-business ratings that can be joined to Trustpilot companies by name or website.
• Tripadvisor Reviews Scraper — Travel and hospitality reviews for the same reputation pipelines.
• Google Play Store App Reviews — App reviews that pair with Trustpilot product and brand comments.
• Clutch.co Company Scraper — B2B company ratings and reviews for service-provider analysis.
• Glassdoor Jobs Scraper — Employer ratings that sit beside Trustpilot consumer scores.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.