# Lookalike Companies (`companyenrich/lookalike-companies`) Actor Find lookalike companies from one or more seed domains with CompanyEnrich. - **URL**: https://apify.com/companyenrich/lookalike-companies.md - **Developed by:** [companyenrich](https://apify.com/companyenrich) (community) - **Categories:** Agents, Lead generation - **Stats:** 3 total users, 1 monthly users, 87.5% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1,000.00 / 1,000 lookalike-companies This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### What does CompanyEnrich Lookalike Companies do? **CompanyEnrich Lookalike Companies** finds lookalike companies from one or more seed company domains. Enter a domain such as `apple.com` or up to 10 seed domains, and the Actor returns ranked lookalike companies with match scores, company preview fields, credit metadata, and the full CompanyEnrich company object. The Actor is built for users who want CompanyEnrich lookalike data through Apify workflows, schedules, datasets, webhooks, integrations, and no-code automations. Users run the Actor with domain and filter inputs only. ### Why use CompanyEnrich Lookalike Companies? Use this Actor when you need ICP expansion, competitor discovery, market mapping, account recommendations, ABM audience building, or research workflows that start from known seed accounts. CompanyEnrich is an API-first B2B data platform for platforms, AI agents, RevOps teams, and GTM workflows. Its lookalike company data returns enriched company profiles, so downstream workflows can use lookalike results without an extra enrichment step. ### How to use CompanyEnrich Lookalike Companies 1. Open the Actor in Apify Console. 2. Enter one seed domain in `domain`, or add up to 10 seed domains in `domains`. 3. Choose `page`, `similarityWeight`, and optional filters. 4. Click **Start**. 5. Download results from the default dataset as JSON, CSV, Excel, HTML, or through the Apify API. Each run returns a fixed page of up to 10 lookalike companies. The page size is not configurable. To get more results, increase `page` and run the Actor again. ### Input | Field | Type | Description | | -------------------- | ------------ | -------------------------------------------------------------------------------------------------------------------------- | | `domain` | string | One seed company domain or website URL. Example: `apple.com`. | | `domains` | string array | Additional seed company domains. CompanyEnrich allows up to 10 seed domains. | | `page` | integer | Page number to return. Default: `1`. | | `similarityWeight` | number | Value from `-1` to `1`. Larger values prioritize similarity; smaller values prioritize established companies. | | `query` | string | Optional query applied to company name and domain. | | `countries` | string array | Optional ISO 2-letter country codes. | | `keywords` | string array | Optional CompanyEnrich keywords. | | `technologies` | string array | Optional technology names or slugs. | | `expandWorkforce` | boolean | Adds `expand=workforce`. This costs additional CompanyEnrich credits per company. | | `additionalFilters` | object | Advanced CompanyEnrich filters such as `employees`, `revenue`, `category`, `exclude`, `foundedYear`, or workforce filters. | | `requestTimeoutSecs` | integer | Maximum time to wait for the CompanyEnrich API request. Default: `30`. | | `maxRetries` | integer | Retry count for network errors, rate limits, and transient API errors. Default: `2`. | | `failOnError` | boolean | If enabled, the run fails after pushing an error row when the API call fails. Default: `true`. | Example input: ```json { "domain": "apple.com", "page": 1, "similarityWeight": 0.25, "countries": ["US"], "expandWorkforce": false } ```` ### Output The Actor writes one item per similar company to the default dataset. You can download the dataset in JSON, CSV, Excel, HTML, or access it through the Apify API. Example dataset item: ```json { "status": "success", "seedDomains": ["apple.com"], "rank": 1, "score": 0.92, "domain": "example.com", "name": "Example Inc.", "website": "https://example.com", "linkedinUrl": "https://www.linkedin.com/company/example", "industry": "Consumer Electronics", "employees": "1K-5K", "revenue": "200m-1b", "country": "United States", "creditCost": 50, "company": { "id": "00000000-0000-0000-0000-000000000000", "domain": "example.com" } } ``` The default key-value store also contains an `OUTPUT` summary record with seed domains, page, fixed page size, result counts, and pagination metadata. ### Pricing and usage This Actor uses Apify pay-per-event pricing. Each run requests a fixed page of up to 10 companies, so `similar-company` events are charged for that fixed page when pay-per-event pricing is active. CompanyEnrich documents `POST /companies/similar` as costing 5 credits per company returned, with 5 credits if no results are found. Enabling `expandWorkforce` costs additional CompanyEnrich credits per company. ### Tips and advanced options - Use clean bare domains such as `apple.com`. - Use multiple seed domains when you want lookalikes for a broader account set. - Use `similarityWeight` to tune between closer similarity and more established companies. - Use `countries`, `keywords`, `technologies`, or `additionalFilters` to narrow results. - Use `page` to request the next fixed 10-result page. - Use Apify schedules, webhooks, integrations, and API access to connect lookalike results to downstream workflows. ### FAQ, disclaimers, and support **Does this Actor scrape websites?**\ No. It calls the CompanyEnrich REST API and stores the API response in Apify datasets. **Where can I get help?**\ Use the Actor Issues tab in Apify Console for bugs, field requests, or integration questions. Learn more about CompanyEnrich at https://companyenrich.com. # Actor input Schema ## `domain` (type: `string`): Single seed company domain or website URL to find lookalike companies for. ## `domains` (type: `array`): Optional list of seed company domains. CompanyEnrich allows up to 10 seed domains. ## `page` (type: `integer`): Page number to return. CompanyEnrich pages are 1-indexed. ## `similarityWeight` (type: `number`): Value from -1 to 1. Larger values prioritize closer lookalikes; smaller values prioritize more established companies. ## `query` (type: `string`): Optional search query applied to company name and domain. ## `countries` (type: `array`): Optional ISO 2-letter country codes to filter by. ## `keywords` (type: `array`): Optional CompanyEnrich keywords to filter by. ## `technologies` (type: `array`): Optional technology slugs or names to filter by. ## `expandWorkforce` (type: `boolean`): Adds expand=workforce to the CompanyEnrich request. This costs additional CompanyEnrich credits per company. ## `additionalFilters` (type: `object`): Advanced JSON filters passed to CompanyEnrich, such as exclude, employees, revenue, category, foundedYear, fundingAmount, fundingYear, or workforce filters. ## `requestTimeoutSecs` (type: `integer`): Maximum time to wait for the CompanyEnrich API request. ## `maxRetries` (type: `integer`): Retry count for transient network failures, 429 responses, and 5xx responses. ## `failOnError` (type: `boolean`): When enabled, the Actor pushes an error row to the dataset and then fails the run if CompanyEnrich returns an error. ## Actor input object example ```json { "domain": "apple.com", "domains": [ "stripe.com", "microsoft.com" ], "page": 1, "countries": [], "keywords": [], "technologies": [], "expandWorkforce": false, "additionalFilters": {}, "requestTimeoutSecs": 30, "maxRetries": 2, "failOnError": true } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `summary` (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 = { "domain": "apple.com", "domains": [ "stripe.com", "microsoft.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("companyenrich/lookalike-companies").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 = { "domain": "apple.com", "domains": [ "stripe.com", "microsoft.com", ], } # Run the Actor and wait for it to finish run = client.actor("companyenrich/lookalike-companies").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 '{ "domain": "apple.com", "domains": [ "stripe.com", "microsoft.com" ] }' | apify call companyenrich/lookalike-companies --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=companyenrich/lookalike-companies", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lookalike Companies", "description": "Find lookalike companies from one or more seed domains with CompanyEnrich.", "version": "0.1", "x-build-id": "TXHgfDTDax4c9yDcp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/companyenrich~lookalike-companies/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-companyenrich-lookalike-companies", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/companyenrich~lookalike-companies/runs": { "post": { "operationId": "runs-sync-companyenrich-lookalike-companies", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/companyenrich~lookalike-companies/run-sync": { "post": { "operationId": "run-sync-companyenrich-lookalike-companies", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "domain": { "title": "Seed domain", "type": "string", "description": "Single seed company domain or website URL to find lookalike companies for.", "default": "apple.com" }, "domains": { "title": "Seed domains", "type": "array", "description": "Optional list of seed company domains. CompanyEnrich allows up to 10 seed domains.", "items": { "type": "string" }, "default": [] }, "page": { "title": "Page", "minimum": 1, "type": "integer", "description": "Page number to return. CompanyEnrich pages are 1-indexed.", "default": 1 }, "similarityWeight": { "title": "Similarity weight", "minimum": -1, "maximum": 1, "type": "number", "description": "Value from -1 to 1. Larger values prioritize closer lookalikes; smaller values prioritize more established companies." }, "query": { "title": "Query", "type": "string", "description": "Optional search query applied to company name and domain." }, "countries": { "title": "Countries", "type": "array", "description": "Optional ISO 2-letter country codes to filter by.", "items": { "type": "string" }, "default": [] }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional CompanyEnrich keywords to filter by.", "items": { "type": "string" }, "default": [] }, "technologies": { "title": "Technologies", "type": "array", "description": "Optional technology slugs or names to filter by.", "items": { "type": "string" }, "default": [] }, "expandWorkforce": { "title": "Expand workforce", "type": "boolean", "description": "Adds expand=workforce to the CompanyEnrich request. This costs additional CompanyEnrich credits per company.", "default": false }, "additionalFilters": { "title": "Additional filters", "type": "object", "description": "Advanced JSON filters passed to CompanyEnrich, such as exclude, employees, revenue, category, foundedYear, fundingAmount, fundingYear, or workforce filters.", "default": {} }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 1, "type": "integer", "description": "Maximum time to wait for the CompanyEnrich API request.", "default": 30 }, "maxRetries": { "title": "Max retries", "minimum": 0, "type": "integer", "description": "Retry count for transient network failures, 429 responses, and 5xx responses.", "default": 2 }, "failOnError": { "title": "Fail run on API errors", "type": "boolean", "description": "When enabled, the Actor pushes an error row to the dataset and then fails the run if CompanyEnrich returns an error.", "default": true } } }, "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 } } } } } } } } } } ```