# Trustpilot Company Suggestions Scraper (`saswave/trustpilot-company-suggestions-scraper`) Actor Intent and discovery tool that captures real-time business suggestions directly from Trustpilot. Submit any keywords, industry verticals, website, raw brand names. Instantly extract comprehensive business identities, contact footprints, physical location coordinates, and platform consumer alerts - **URL**: https://apify.com/saswave/trustpilot-company-suggestions-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Company Suggestions Scraper Intent and discovery tool that captures real-time business suggestions directly from Trustpilot. By submitting localized keywords, industry verticals, or raw brand names, you instantly extract comprehensive business identities, contact footprints, physical location coordinates, and platform consumer alerts before making deep profile requests. ### FEATURES Keyword Autocomplete Resolution: Feed broad or partial string queries (e.g., "hobby", "youtube") and retrieve a structured list of highly relevant, matched global businesses instantly. Firmographic Metadata Enrichment: Extract available contact and location details inline, including corporate phone numbers (phone), official contact emails (email), direct digital addresses (websiteUrl), and fully resolved physical mailing data (city, street, postcode, country). Active Consumer Alert Audits: Instantly flag businesses suffering from regulatory actions or platform crackdowns via the consumerAlert payload, exposing specific alert types (e.g., WarningFabricatedReviews) and exact policy enforcement intervals (startDate to endDate). Geo-Mapping Coordinates: Extract high-precision geographic metrics, capturing exact center latitudes/longitudes (coordinates) and geographic bounding vectors (approximateArea) for advanced localized search filtering. Instant TrustScore Snapshots: Capture structural ranking baselines, including total review volume (numberOfReviews), explicit verification indicators (verified), and decimal ratings (trustScore, stars) directly out of the initial suggestion payload. ### USE CASES High-Risk Lead Sourcing & Reputation Flipping: Programmatically sweep industry terms to look for companies actively flagged with a consumerAlert badge. Reach out to their legal or PR departments with specialized compliance software, review vetting operations, or strategic crisis management solutions. Hyper-Localized B2B Lead Gen Generation: Filter the suggestion dataset using spatial arrays (coordinates or countryCode) alongside the primary_category tags to build target account lists for specific regional marketing pushes. Data Cleansing & Handle Normalization: Reconcile raw, misspelled, or poorly formatted internal vendor tables against Trustpilot's index by querying brand names and pulling back verified unique platform identifiers (businessUnitId) and canonical text string mappings (displayName, identifyingName). Fraud & Impersonation Monitoring: Audit the Trustpilot index regularly for your brand keyword to spot newly registered, unverified, or rogue profiles attempting to skim traffic using variations of your trademarked domain name. ### OUTPUT ```json { "businessUnitId": "46a8a82500006400050091a0", "displayName": "YouTube", "identifyingName": "www.youtube.com", "countryCode": "DK", "logoUrl": null, "numberOfReviews": 11270, "websiteUrl": "https://www.youtube.com", "verified": true, "phone": null, "email": null, "consumerAlert": { "content": null, "languageVersions": {}, "predefinedType": "WarningFabricatedReviews", "startDate": "2026-04-11T00:00:00.000Z", "endDate": "2026-10-11T00:00:00.000Z", "authorityWarningLink": null, "title": null, "titleLanguageVersions": {} }, "city": null, "street": null, "postcode": null, "country": "Denmark", "coordinates": { "lat": 55.670249, "lon": 10.3333283 }, "approximateArea": [ [ 7.7153255, 57.9524297 ], [ 15.5530641, 54.4516667 ] ], "trustScore": 1.5, "stars": 1.5, "categories": [], "primary_category": "Hobby Store" } ```` ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `keywords` (type: `array`): get all suggestions from keywords (name, website, industry or any other keyword) ## Actor input object example ```json { "keywords": [ "saswave" ] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "keywords": [ "saswave" ] }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/trustpilot-company-suggestions-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 = { "keywords": ["saswave"] } # Run the Actor and wait for it to finish run = client.actor("saswave/trustpilot-company-suggestions-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 '{ "keywords": [ "saswave" ] }' | apify call saswave/trustpilot-company-suggestions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saswave/trustpilot-company-suggestions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trustpilot Company Suggestions Scraper", "description": "Intent and discovery tool that captures real-time business suggestions directly from Trustpilot. Submit any keywords, industry verticals, website, raw brand names. Instantly extract comprehensive business identities, contact footprints, physical location coordinates, and platform consumer alerts", "version": "0.0", "x-build-id": "x6334fRPsPGRufs7O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saswave~trustpilot-company-suggestions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saswave-trustpilot-company-suggestions-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/saswave~trustpilot-company-suggestions-scraper/runs": { "post": { "operationId": "runs-sync-saswave-trustpilot-company-suggestions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/saswave~trustpilot-company-suggestions-scraper/run-sync": { "post": { "operationId": "run-sync-saswave-trustpilot-company-suggestions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "get all suggestions from keywords (name, website, industry or any other keyword)", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```