# VentureRadar Similar Companies Scraper (`jungle_synthesizer/ventureradar-similar-companies-scraper`) Actor Discover lookalike companies from VentureRadar. Two modes: similar companies (6 per seed by company name) or keyword search (top companies per tag). Outputs name, UUID, country, founded year, description, sectors, website, and VentureRadar scores. - **URL**: https://apify.com/jungle\_synthesizer/ventureradar-similar-companies-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## VentureRadar Similar Companies Scraper Discover lookalike and keyword-ranked companies from [VentureRadar](https://www.ventureradar.com). Two modes: - **Similar Companies** — provide a company name and get the 6 most similar companies per seed, with full metadata and VentureRadar scores. - **Keyword Search** — provide a keyword (e.g. "fintech", "SaaS", "AI") and get the top ranked companies matching that theme. No account or login required for either mode. ### What Does This Scraper Extract? Each company record includes: | Field | Description | |-------|-------------| | `company_name` | Company name | | `company_uuid` | VentureRadar internal UUID | | `profile_url` | Direct link to the VentureRadar company profile | | `company_type` | Privately Held, Publicly Traded, etc. | | `founded_year` | Year the company was founded | | `country` | Country of headquarters | | `description` | Short company description | | `website` | Company website URL | | `sectors` | Semicolon-separated sector/industry tags | | `similarity_score` | VentureRadar similarity score (similar mode only) | | `vr_popularity` | VentureRadar popularity score (similar mode only) | | `growth_score` | VentureRadar growth score (similar mode only) | | `venture_funded` | Whether the company has received VC funding | | `equity_crowd_funded` | Whether the company has equity crowdfunding | | `government_grant` | Whether the company has government grants | | `incubator_backed` | Whether the company has been through an incubator | | `contact_email` | Contact email, when available (similar mode only) | | `seed` | The seed value used (company name or keyword) | | `mode` | Search mode used: `similar` or `keyword` | ### Input #### Search Mode Choose between: - `"similar"` — find companies similar to seed company names - `"keyword"` — find top-ranked companies for a keyword/theme #### Similar Mode ```json { "mode": "similar", "companyNames": ["Stripe", "Shopify"], "maxItems": 50 } ```` The actor automatically resolves each company name to its VentureRadar UUID. Returns up to 6 similar companies per seed on the free tier. #### Keyword Mode ```json { "mode": "keyword", "keywords": ["fintech", "SaaS", "AI"], "maxItems": 100 } ``` Returns up to ~32 top-ranked companies per keyword from VentureRadar's company database. #### Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | `mode` | string | `"similar"` or `"keyword"` (required) | | `companyNames` | array | Seed company names for similar mode | | `keywords` | array | Keywords for keyword search mode | | `maxItems` | integer | Maximum total records to return (default: 10) | ### Example Output ```json { "seed": "Stripe", "seed_uuid": "9e5dc665-e4c3-43b7-b904-4b041f4bf76b", "mode": "similar", "company_name": "Adyen", "company_uuid": "adc15163-e2e8-4053-a022-63e3d66218fc", "profile_url": "https://www.ventureradar.com/organisation/Adyen/adc15163-e2e8-4053-a022-63e3d66218fc", "company_type": "Publicly Traded", "founded_year": 2006, "country": "Netherlands", "description": "Adyen is at the heart of the fast moving payment revolution...", "website": "http://www.adyen.com/", "sectors": "Fintech; Payments; E-Commerce; Mobile payments", "similarity_score": 817, "vr_popularity": 917, "growth_score": 700, "venture_funded": false, "equity_crowd_funded": false, "government_grant": false, "incubator_backed": false, "contact_email": null } ``` ### Use Cases - **Competitive intelligence** — find direct competitors and lookalike companies - **Market research** — discover companies in a vertical or theme - **Lead generation** — build lists of companies in a specific sector - **Due diligence** — explore the competitive landscape around a target company - **Portfolio analysis** — find peers for portfolio companies ### Notes - **Similar mode** resolves company names to VentureRadar UUIDs automatically — no pre-lookup needed. - **Free tier limit** is 6 similar companies per seed. This is a VentureRadar platform restriction. - **Keyword mode** returns the top companies ranked by VentureRadar's scoring algorithm. - Both modes use VentureRadar's internal AJAX APIs. No login is required. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): Choose how to find companies. 'similar' discovers companies like a seed company (6 results per seed). 'keyword' searches VentureRadar for companies matching a theme or tag (~32 results per keyword). ## `companyNames` (type: `array`): Company names to find similar companies for (similar mode only). Example: \["Stripe", "Shopify"]. The actor resolves each name to a VentureRadar UUID automatically. ## `keywords` (type: `array`): Keywords or themes to search for (keyword mode only). Example: \["fintech", "SaaS", "AI"]. Returns up to ~32 top-ranked companies per keyword. ## `maxItems` (type: `integer`): Maximum total number of company records to return across all seeds/keywords. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "similar", "companyNames": [ "Stripe" ], "keywords": [ "fintech" ], "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "similar", "companyNames": [ "Stripe" ], "keywords": [ "fintech" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/ventureradar-similar-companies-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "similar", "companyNames": ["Stripe"], "keywords": ["fintech"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/ventureradar-similar-companies-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "similar", "companyNames": [ "Stripe" ], "keywords": [ "fintech" ], "maxItems": 10 }' | apify call jungle_synthesizer/ventureradar-similar-companies-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/ventureradar-similar-companies-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "VentureRadar Similar Companies Scraper", "description": "Discover lookalike companies from VentureRadar. Two modes: similar companies (6 per seed by company name) or keyword search (top companies per tag). Outputs name, UUID, country, founded year, description, sectors, website, and VentureRadar scores.", "version": "0.1", "x-build-id": "1JzqPwo7aoi6cpvUg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~ventureradar-similar-companies-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-ventureradar-similar-companies-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/jungle_synthesizer~ventureradar-similar-companies-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-ventureradar-similar-companies-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/jungle_synthesizer~ventureradar-similar-companies-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-ventureradar-similar-companies-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": [ "mode" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Search Mode", "enum": [ "similar", "keyword" ], "type": "string", "description": "Choose how to find companies. 'similar' discovers companies like a seed company (6 results per seed). 'keyword' searches VentureRadar for companies matching a theme or tag (~32 results per keyword).", "default": "similar" }, "companyNames": { "title": "Seed Company Names", "type": "array", "description": "Company names to find similar companies for (similar mode only). Example: [\"Stripe\", \"Shopify\"]. The actor resolves each name to a VentureRadar UUID automatically." }, "keywords": { "title": "Keywords", "type": "array", "description": "Keywords or themes to search for (keyword mode only). Example: [\"fintech\", \"SaaS\", \"AI\"]. Returns up to ~32 top-ranked companies per keyword." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum total number of company records to return across all seeds/keywords.", "default": 10 } } }, "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 } } } } } } } } } } ```