# Trustpilot Scraper - Company Profiles, Reviews & Leads (`scrapesage/trustpilot-scraper`) Actor Scrape Trustpilot company profiles (TrustScore, review counts, categories, website, email, phone, address), full reviews with company replies, and category/search discovery as B2B leads. Lead scoring, filters and monitor mode. No login or API key. - **URL**: https://apify.com/scrapesage/trustpilot-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Lead generation, E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 company profile scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Trustpilot Scraper — Company Profiles, Reviews & Leads Extract **complete data from any [Trustpilot](https://www.trustpilot.com) business** — the full **company profile** (TrustScore, total reviews and the 1–5★ distribution, categories, **website, e-mail, phone, address**, claimed/verified status) plus **every review** with its rating, full text, dates, reviewer details, verification status and the **company's reply**. Discover whole **categories** or **search results** to build ready-to-use **B2B lead lists**. No login, no cookies, no API key — a real browser clears Trustpilot's anti-bot wall and reads the structured data straight from the page, so you get the **richest, most reliable Trustpilot dataset in the category**. ### Why this Trustpilot scraper? Most Trustpilot scrapers grab a handful of review fields and choke on Trustpilot's WAF (you'll see them stuck at 60–70% success). This actor drives a real browser, clears the challenge automatically, and ships **both** the company-level firmographics **and** the complete review stream — then layers on category/search discovery, a lead score, and monitoring mode. | Data | Generic scrapers | This actor | |---|---|---| | Review text, rating, dates | ✅ | ✅ | | Reviewer name, country, review count | partial | ✅ | | Company **reply** to each review | ❌ | ✅ | | Review verification status | partial | ✅ | | **Company profile** (TrustScore, # reviews, 1–5★ split) | partial | ✅ | | Company **website, e-mail, phone, address** | ❌ | ✅ when listed | | Company **categories** | ❌ | ✅ | | **Category / search discovery** (lead lists) | ❌ | ✅ | | **Lead score** (0–100) per company | ❌ | ✅ | | Filters: stars, date, verified-only, language | partial | ✅ | | **Monitoring mode** — only new reviews | ❌ | ✅ | | Reliability vs Trustpilot's WAF | 60–70% | ✅ browser-cleared | ### Use cases - **Reputation monitoring** — track new reviews for your brand (or your competitors) and respond fast. Monitoring mode returns only reviews you haven't seen before. - **B2B lead generation** — pull every company in a Trustpilot category or search, complete with website, e-mail, phone and a lead score, straight into your CRM. - **Competitive & market intelligence** — benchmark TrustScores, review volume and sentiment across an industry. - **Voice-of-customer & CX analytics** — feed structured review text into dashboards or sentiment/LLM pipelines. - **Sales prospecting** — find unhappy customers of a competitor (1–2★ reviews) for targeted outreach. - **Due diligence & vendor screening** — verify a supplier's TrustScore, claimed status and complaint history before you buy. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **Trustpilot Scraper**, enter one or more **company domains** (`amazon.com`, `www.nike.com`), **search queries**, **categories**, or paste any Trustpilot URL. 3. Choose whether to include reviews and set the caps. Click **Start**. 4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "companyDomains": ["www.amazon.com", "booking.com"], "includeReviews": true, "maxReviewsPerCompany": 100, "reviewsSort": "recency", "starRatings": ["1", "2"], "reviewsNewerThan": "30 days", "monitorMode": false } ```` - **companyDomains** — domains or full Trustpilot review URLs. Each yields a company profile + its reviews. - **searchQueries** — company names to search; returns the matching companies. - **categories** — category slug or name (e.g. `electronics_technology`, `bank`) → every company in that category (lead lists). - **startUrls** — any Trustpilot URL (company / category / search), auto-detected. - **includeReviews** *(default true)* / **maxReviewsPerCompany** *(default 50)* — reviews per company (20 per page). - **reviewsSort** *(default `recency`)* — `recency` (best for monitoring) or `relevance`. - **starRatings**, **reviewsNewerThan**, **verifiedReviewsOnly** — review filters. - **includeCompanyRecord** *(default true)* — output the company profile record. - **maxCompaniesPerQuery** *(default 100)* / **enrichCompanyDetails** *(default false)* — discovery caps; enrich to open each discovered company for its full profile + reviews. - **maxItems** *(default 200)* — global cap across companies + reviews. - **monitorMode** / **monitorStoreName** — emit only records not seen in previous runs (see below). - **maxConcurrency** *(default 4)* — parallel browser pages. - **proxyConfiguration** — defaults to Apify **Residential** proxy (recommended for Trustpilot). ### Output Each row is tagged with a `type` — `company` or `review`. Use the **Companies** and **Reviews** dataset views to switch between them. A company record (`type: "company"`): ```json { "type": "company", "displayName": "Amazon", "domain": "www.amazon.com", "trustpilotUrl": "https://www.trustpilot.com/review/www.amazon.com", "trustScore": 2.1, "stars": 2, "numberOfReviews": 18450, "starsDistribution": { "oneStar": 9100, "twoStars": 1200, "threeStars": 900, "fourStars": 1800, "fiveStars": 5450 }, "websiteUrl": "https://www.amazon.com", "email": "support@amazon.com", "phone": "+1 206-922-0880", "street": "410 Terry Ave N", "city": "Seattle", "zipCode": "98109", "country": "US", "categories": [ { "id": "electronics_technology", "name": "Electronics & Technology" } ], "primaryCategory": "Electronics & Technology", "isClaimed": true, "isVerified": true, "logoUrl": "https://user-images.trustpilot.com/...", "leadScore": 92, "scrapedAt": "2026-06-23T12:00:00.000Z" } ``` A review record (`type: "review"`): ```json { "type": "review", "companyDomain": "www.amazon.com", "companyDisplayName": "Amazon", "reviewId": "6634abc...", "reviewUrl": "https://www.trustpilot.com/reviews/6634abc...", "rating": 1, "title": "Delivery never arrived", "text": "Ordered a gift two weeks ago and it still hasn't shipped...", "publishedDate": "2026-06-20T09:14:00.000Z", "experiencedDate": "2026-06-18T00:00:00.000Z", "reviewerName": "Jordan P.", "reviewerCountry": "US", "reviewerReviewCount": 3, "reviewerProfileUrl": "https://www.trustpilot.com/users/...", "isVerified": true, "verificationSource": "invitation", "replyText": "We're sorry to hear about your experience...", "replyPublishedDate": "2026-06-21T08:00:00.000Z", "scrapedAt": "2026-06-23T12:00:00.000Z" } ``` #### What to expect (field coverage) Some company fields are filled in only when the business added them to its Trustpilot profile. Verified across many businesses, you can typically expect: | Entity | Always present | Usually present | Present when published | |---|---|---|---| | **Company** | domain, displayName, TrustScore, stars, # reviews, categories | star distribution, claimed status | website, e-mail, phone, address (claimed profiles) | | **Review** | rating, dates, reviewer name | title, text, country, verification | company reply (when the business replied) | A blank field means the business or reviewer didn't publish it — not that scraping failed. Nothing is dropped, so you always get the richest dataset available. ### Monitoring mode (only new reviews) Turn on **Monitoring mode** and the actor remembers the review/company ids it has already returned (in a named key-value store) and emits **only new records** on the next run. Combine it with **Sort = Most recent** and a relative **Only reviews newer than** window for clean, incremental pulls. Monitoring mode is **independent of, and complementary to, the Apify Scheduler** — the [Schedule](https://docs.apify.com/platform/schedules) decides *when* the actor runs; monitoring mode decides *what's new* each time. Use a different **monitor store name** per tracked job to keep their histories separate. ### Automate & schedule - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run daily/weekly to capture new reviews as they land. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger CRM imports, Slack alerts or email sequences the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/trustpilot-scraper').call({ companyDomains: ['www.amazon.com'], includeReviews: true, maxReviewsPerCompany: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} records`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new company leads or reviews straight into your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored brand gets a new (or negative) review. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "summarize the latest 1-star reviews for this company" and let it run the scraper for you. ### Agent-ready: autonomous payments (x402 & Skyfire) This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards: - **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key. - **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows. Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes. ### More scrapers from scrapesage Build a complete **reputation, reviews & B2B-lead stack**: - **[Google Maps Scraper](https://apify.com/scrapesage/google-maps-scraper)** — local business leads with emails, phones, ratings & reviews. - **[BBB Scraper](https://apify.com/scrapesage/bbb-scraper)** — Better Business Bureau ratings, accreditation & complaints. - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — enrich any company domain with emails, phones & social profiles. - **[Yellow Pages Scraper](https://apify.com/scrapesage/yellow-pages-scraper)** — local business directory leads. - **[Glassdoor Scraper](https://apify.com/scrapesage/glassdoor-scraper)** — employer reviews, ratings, salaries & interviews. - **[Reddit Scraper](https://apify.com/scrapesage/reddit-scraper)** — brand mentions, discussions & sentiment. - **[Shopify Store Scraper](https://apify.com/scrapesage/shopify-store-scraper)** — products, prices & store data from any Shopify shop. ### Tips - **Lead lists**: use **categories** or **searchQueries** with `includeReviews` off for fast, cheap company-only pulls — every record carries website, category, location and a lead score. - **Reputation monitoring**: keep `reviewsSort` on *Most recent*, set `reviewsNewerThan` (e.g. `7 days`) and turn on **Monitoring mode** for incremental, no-duplicate runs. - **Negative-review outreach**: set `starRatings` to `["1","2"]` to pull only unhappy customers. - **Big categories**: raise `maxCompaniesPerQuery` and turn on `enrichCompanyDetails` to open each company for its full contact profile. - **Reliability**: keep the default **Residential** proxy — Trustpilot's WAF challenges datacenter IPs. ### FAQ **How do I scrape one company?** Put its domain in `companyDomains` (`amazon.com`, `www.nike.com`) or paste its Trustpilot URL. You can pass many at once. **Does it need the Trustpilot API or a key?** No. Trustpilot's official API is invite-only; this actor reads the same (and richer) data from the public business and review pages — no key or login. **Can I get every review for a company?** Yes — raise `maxReviewsPerCompany`. Trustpilot serves 20 reviews per page and the actor paginates automatically. **Can I build a lead list by industry?** Yes — add a category slug/name to `categories` (e.g. `restaurant`, `bank`) and the actor returns every listed company with its website, location and lead score. **How do I monitor a brand for new reviews?** Create a [Schedule](https://docs.apify.com/platform/schedules) (e.g. daily) with **Monitoring mode** on — each run returns only reviews you haven't seen before. Add a [webhook](https://docs.apify.com/platform/integrations/webhooks) or [Zapier zap](https://docs.apify.com/platform/integrations/zapier) to push them into your CRM or Slack. **Why is a company's e-mail or phone empty?** Trustpilot only shows contact details that the business added to a claimed profile. When they're absent, the field is simply blank. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **Is scraping Trustpilot legal?** This actor collects publicly available data only. You're responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Trustpilot's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `companyDomains` (type: `array`): Companies to scrape. Enter a domain (e.g. "amazon.com", "www.nike.com") or a full Trustpilot review URL (e.g. "https://www.trustpilot.com/review/booking.com"). Each yields one company profile plus its reviews (if enabled). One per row. ## `searchQueries` (type: `array`): Company names to search on Trustpilot. Each query returns the matching companies (use "Max companies per query" to cap). One query per row — e.g. "Tesla", "meal delivery". ## `categories` (type: `array`): Trustpilot category slugs or names to list businesses from — e.g. "electronics\_technology", "bank", "Travel Insurance Company". Returns every company in the category (great for building lead lists). One per row. ## `startUrls` (type: `array`): Paste any Trustpilot URLs — a company page (/review/), a category page (/categories/) or a search page (/search?query=...). Each URL is auto-detected and routed. One per row. ## `includeReviews` (type: `boolean`): For every company scraped, also output its reviews (type `review`). Turn off to get only the company profile records (fastest, cheapest — perfect for lead lists). ## `maxReviewsPerCompany` (type: `integer`): How many reviews to output per company (most recent / most relevant first, depending on Sort). Trustpilot serves 20 reviews per page. Keep modest for fast runs. ## `reviewsSort` (type: `string`): Order reviews are collected in. "Most recent" is best for monitoring new reviews; "Most relevant" is Trustpilot's default ranking. ## `starRatings` (type: `array`): Only keep reviews with these star ratings (1–5). Leave empty to keep all ratings. ## `reviewsNewerThan` (type: `string`): Keep only reviews published after this. Accepts an ISO date (2026-01-01) or a relative window like "7 days", "24 hours", "3 months". Great with monitoring mode for fresh-only pulls. ## `verifiedReviewsOnly` (type: `boolean`): Keep only reviews Trustpilot marks as verified (invitation/verified purchase). Off = include organic reviews too. ## `includeCompanyRecord` (type: `boolean`): Output a `company` record (TrustScore, review counts, categories, website, email, phone, address, claimed status, lead score) for each company. Turn off if you only want reviews. ## `maxCompaniesPerQuery` (type: `integer`): Cap on companies returned per search query or per category (for discovery / lead lists). 0 = no per-source limit (only the global Max items applies). ## `enrichCompanyDetails` (type: `boolean`): For companies found via search/category, open each company's page for the full profile (website, email, phone, full category list, star distribution) and reviews. Off = use the lighter listing-level fields only (faster, cheaper, no extra page per company). ## `maxItems` (type: `integer`): Cap on total records (companies + reviews) across the whole run. Listings and review pages paginate automatically until this cap is reached. ## `deduplicate` (type: `boolean`): Skip a record already emitted in this run (by id) — useful when sources overlap. ## `monitorMode` (type: `boolean`): Remember ids already returned and emit ONLY records not seen in previous runs. Pairs with Apify Schedules to track new reviews (and newly listed companies) over time without re-paying for old data. Independent of — and complementary to — the platform Scheduler. ## `monitorStoreName` (type: `string`): Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked job to keep their histories separate. Lowercase letters, digits and hyphens only. ## `maxConcurrency` (type: `integer`): Maximum parallel browser pages. Lower it if you see transient blocks; raise it for speed (uses more memory — allow ~1GB per 2 pages). ## `proxyConfiguration` (type: `object`): Proxy settings. Trustpilot is protected by AWS WAF, so this actor defaults to Apify Residential proxy (blocked requests retry automatically on a fresh IP). Residential is strongly recommended. ## Actor input object example ```json { "companyDomains": [ "www.amazon.com" ], "searchQueries": [], "categories": [], "startUrls": [], "includeReviews": true, "maxReviewsPerCompany": 50, "reviewsSort": "recency", "starRatings": [], "verifiedReviewsOnly": false, "includeCompanyRecord": true, "maxCompaniesPerQuery": 100, "enrichCompanyDetails": false, "maxItems": 200, "deduplicate": true, "monitorMode": false, "monitorStoreName": "trustpilot-scraper-monitor", "maxConcurrency": 4, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): All scraped records in the default dataset — company profiles and reviews with their full field set. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "companyDomains": [ "www.amazon.com" ], "searchQueries": [], "categories": [], "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/trustpilot-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "companyDomains": ["www.amazon.com"], "searchQueries": [], "categories": [], "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("scrapesage/trustpilot-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companyDomains": [ "www.amazon.com" ], "searchQueries": [], "categories": [], "startUrls": [] }' | apify call scrapesage/trustpilot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/trustpilot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Scraper - Company Profiles, Reviews & Leads", "description": "Scrape Trustpilot company profiles (TrustScore, review counts, categories, website, email, phone, address), full reviews with company replies, and category/search discovery as B2B leads. Lead scoring, filters and monitor mode. No login or API key.", "version": "0.1", "x-build-id": "eq5fAi7CxLMZD50jC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~trustpilot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~trustpilot-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~trustpilot-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-trustpilot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "companyDomains": { "title": "Company domains or review URLs", "type": "array", "description": "Companies to scrape. Enter a domain (e.g. \"amazon.com\", \"www.nike.com\") or a full Trustpilot review URL (e.g. \"https://www.trustpilot.com/review/booking.com\"). Each yields one company profile plus its reviews (if enabled). One per row.", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries (company names)", "type": "array", "description": "Company names to search on Trustpilot. Each query returns the matching companies (use \"Max companies per query\" to cap). One query per row — e.g. \"Tesla\", \"meal delivery\".", "items": { "type": "string" } }, "categories": { "title": "Categories (lead-list discovery)", "type": "array", "description": "Trustpilot category slugs or names to list businesses from — e.g. \"electronics_technology\", \"bank\", \"Travel Insurance Company\". Returns every company in the category (great for building lead lists). One per row.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs (any Trustpilot URL)", "type": "array", "description": "Paste any Trustpilot URLs — a company page (/review/), a category page (/categories/) or a search page (/search?query=...). Each URL is auto-detected and routed. One per row.", "items": { "type": "string" } }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "For every company scraped, also output its reviews (type `review`). Turn off to get only the company profile records (fastest, cheapest — perfect for lead lists).", "default": true }, "maxReviewsPerCompany": { "title": "Max reviews per company", "minimum": 0, "maximum": 100000, "type": "integer", "description": "How many reviews to output per company (most recent / most relevant first, depending on Sort). Trustpilot serves 20 reviews per page. Keep modest for fast runs.", "default": 50 }, "reviewsSort": { "title": "Reviews sort", "enum": [ "recency", "relevance" ], "type": "string", "description": "Order reviews are collected in. \"Most recent\" is best for monitoring new reviews; \"Most relevant\" is Trustpilot's default ranking.", "default": "recency" }, "starRatings": { "title": "Filter by star rating", "type": "array", "description": "Only keep reviews with these star ratings (1–5). Leave empty to keep all ratings.", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5" ], "enumTitles": [ "1 star", "2 stars", "3 stars", "4 stars", "5 stars" ] }, "default": [] }, "reviewsNewerThan": { "title": "Only reviews newer than", "type": "string", "description": "Keep only reviews published after this. Accepts an ISO date (2026-01-01) or a relative window like \"7 days\", \"24 hours\", \"3 months\". Great with monitoring mode for fresh-only pulls." }, "verifiedReviewsOnly": { "title": "Verified reviews only", "type": "boolean", "description": "Keep only reviews Trustpilot marks as verified (invitation/verified purchase). Off = include organic reviews too.", "default": false }, "includeCompanyRecord": { "title": "Include company profile record", "type": "boolean", "description": "Output a `company` record (TrustScore, review counts, categories, website, email, phone, address, claimed status, lead score) for each company. Turn off if you only want reviews.", "default": true }, "maxCompaniesPerQuery": { "title": "Max companies per search / category", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Cap on companies returned per search query or per category (for discovery / lead lists). 0 = no per-source limit (only the global Max items applies).", "default": 100 }, "enrichCompanyDetails": { "title": "Enrich discovered companies", "type": "boolean", "description": "For companies found via search/category, open each company's page for the full profile (website, email, phone, full category list, star distribution) and reviews. Off = use the lighter listing-level fields only (faster, cheaper, no extra page per company).", "default": false }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000000, "type": "integer", "description": "Cap on total records (companies + reviews) across the whole run. Listings and review pages paginate automatically until this cap is reached.", "default": 200 }, "deduplicate": { "title": "Deduplicate", "type": "boolean", "description": "Skip a record already emitted in this run (by id) — useful when sources overlap.", "default": true }, "monitorMode": { "title": "Monitoring mode — only new records", "type": "boolean", "description": "Remember ids already returned and emit ONLY records not seen in previous runs. Pairs with Apify Schedules to track new reviews (and newly listed companies) over time without re-paying for old data. Independent of — and complementary to — the platform Scheduler.", "default": false }, "monitorStoreName": { "title": "Monitor store name", "type": "string", "description": "Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked job to keep their histories separate. Lowercase letters, digits and hyphens only.", "default": "trustpilot-scraper-monitor" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum parallel browser pages. Lower it if you see transient blocks; raise it for speed (uses more memory — allow ~1GB per 2 pages).", "default": 4 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Trustpilot is protected by AWS WAF, so this actor defaults to Apify Residential proxy (blocked requests retry automatically on a fresh IP). Residential is strongly recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```