# Crunchbase Scraper (Without login) (`bhansalisoft/crunchbase-scraper-without-login`) Actor Crunchbase Scraper (Without login) : Scrap Company Data from 4 Millions Database of Crunchbase Companies without login and pro plan. we have live crunchbase database - **URL**: https://apify.com/bhansalisoft/crunchbase-scraper-without-login.md - **Developed by:** [bhansalisoft](https://apify.com/bhansalisoft) (community) - **Categories:** Automation, Lead generation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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. 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 ### Crunchbase Scraper (Without login) Crunchbase Scraper (Without login) : Scrap Company Data from 4 Millions Database of Crunchbase Companies without login and pro plan. we have live crunchbase database This tool will get all company information with there investors and Foundes Details from crunchbase without login or pro plan. - ✅ Software will Extract All Company data without any limitation. - ✅ No Crunchbase Login and Pro Plan Require - ✅ Unlimited Company Data Scrap with Monthly Rental only - ✅ All Company Data is 100% correct ### Below information will get from this Company Data ```` \[ { "company\_name": "Anthropic", "company\_type": "for\_profit", "phone\_number": "", "company\_Email": "info@anthropic.com", "company\_image": "02bb58922b3d4d64b082982f275896c8", "description": "Anthropic conducts AI research and develops AI products, including the Claude AI model family. The company focuses on building AI for human well-being, emphasizing safety in its research, policy work, and product design. Anthropic offers various Claude models, such as Opus and Sonnet, for AI-powered applications and custom experiences, supporting coding and AI agents.", "cmp\_linkedin": "https://www.linkedin.com/company/anthropicresearch", "short\_description": "Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.", "operating\_status": "active", "cmp\_twitter": "https://x.com/AnthropicAI", "cmp\_facebook": "https://www.facebook.com/AnthropicAI", "cmp\_employee\_count": "c\_01001\_05000", "company\_founded\_on": "2021-01-01", "company\_website": "https://www.anthropic.com", "company\_category\_groups\_1": "Artificial Intelligence (AI)", "company\_category\_groups\_2": "Data and Analytics", "company\_category\_groups\_3": "Information Technology", "company\_category\_groups\_4": "Science and Engineering", "company\_category\_groups\_5": "Software", "company\_category\_groups\_6": "", "company\_investorCount": "71", "company\_closedon": "", "company\_num\_funding\_rounds": "14", "company\_lastfunding\_at": "2025-05-16", "company\_fundingstage": "late\_stage\_venture", "company\_last\_equity\_funding\_type": "series\_e", "company\_city": "San Francisco", "company\_country": "United States", "company\_state": "", "company\_region": "California", "company\_continent": "North America", "company\_location\_group\_identifiers\_1": "San Francisco Bay Area", "company\_location\_group\_identifiers\_2": "West Coast", "company\_location\_group\_identifiers\_3": "Western US", "company\_location\_group\_identifiers\_4": "", "company\_location\_group\_identifiers\_5": "", "company\_hq\_postal\_code": "94104-5401", "company\_num\_founders": "6", "company\_revenue\_range": "r\_01000000", "company\_num\_lead\_investors": "15", "company\_num\_articles": "4447", "company\_equity\_funding\_total": "12904000000", "company\_last\_equity\_funding\_total": "3500000000", "company\_last\_funding\_total": "2500000000", "company\_funding\_total": "20740377627", "All\_investors\_founders": "Daniela Amodei (Founder) , Dario Amodei (Founder) , Jack Clark (Founder) , Jared Kaplan (Founder) , Sam McCandlish (Founder) , Tom Brown (Founder) , General Catalyst (Investor) , Menlo Ventures (Investor) , Bessemer Venture Partners (Investor) , Lightspeed Venture Partners (Investor) , Google (Investor) " }, { "company\_name": "CoreWeave", "company\_type": "for\_profit", "phone\_number": "+1 973-270-9737", "company\_Email": "info@coreweave.com", "company\_image": "xq3fe9rof9a6ar8yfwhk", "description": "CoreWeave provides a cloud infrastructure platform to support compute-intensive workloads across blockchain, artificial intelligence, visual effects, and related applications. The platform provides access to GPU resources tailored to varying model complexities and production requirements. \n\nIts infrastructure enables users to accelerate workflows through a GPU cloud system, allowing for the design of custom compute environments and adaptation to performance requirements.", "cmp\_linkedin": "https://www.linkedin.com/company/coreweave", "short\_description": "CoreWeave is a cloud-based AI infrastructure company offering GPU cloud services to simplify AI and machine learning workloads.", "operating\_status": "active", "cmp\_twitter": "https://x.com/CoreWeave", "cmp\_facebook": "https://www.facebook.com/ConciergeRender", "cmp\_employee\_count": "c\_00501\_01000", "company\_founded\_on": "2017-01-01", "company\_website": "https://www.coreweave.com", "company\_category\_groups\_1": "Artificial Intelligence (AI)", "company\_category\_groups\_2": "Data and Analytics", "company\_category\_groups\_3": "Hardware", "company\_category\_groups\_4": "Information Technology", "company\_category\_groups\_5": "Internet Services", "company\_category\_groups\_6": "Science and Engineering", "company\_investorCount": "50", "company\_closedon": "", "company\_num\_funding\_rounds": "17", "company\_lastfunding\_at": "2025-07-31", "company\_fundingstage": "ipo", "company\_last\_equity\_funding\_type": "series\_unknown", "company\_city": "Livingston", "company\_country": "United States", "company\_state": "", "company\_region": "New Jersey", "company\_continent": "North America", "company\_location\_group\_identifiers\_1": "Greater New York Area", "company\_location\_group\_identifiers\_2": "East Coast", "company\_location\_group\_identifiers\_3": "Northeastern US", "company\_location\_group\_identifiers\_4": "", "company\_location\_group\_identifiers\_5": "", "company\_hq\_postal\_code": "07039", "company\_num\_founders": "4", "company\_revenue\_range": "r\_01000000", "company\_num\_lead\_investors": "10", "company\_num\_articles": "1354", "company\_equity\_funding\_total": "1537700000", "company\_last\_equity\_funding\_total": "10000000", "company\_last\_funding\_total": "2600000000", "company\_funding\_total": "19779700000", "All\_investors\_founders": "Brannin McBee (Founder) , Brian Venturo (Founder) , Michael Intrator (Founder) , Peter Salanki (Founder) , Citi (Investor) , BlackRock (Investor) , Deutsche Bank (Investor) , NVIDIA (Investor) , La Caisse (Investor) " }] ```` ### How it works Insert Any of Filter - Company Name : Enter Company Name - Country : Enter Country Name - State : Enter State of Any Country - Employee Size : select Employee size - Company Industry : select Industry from list Start Process for get data. ### Product Demo Video https://youtu.be/BigQ-qmAmfM if you require large list email validation , contact us at bhansalisoft781986@gmail.com # Actor input Schema ## `company_name` (type: `string`): Company Name ## `Country` (type: `string`): Country ## `State` (type: `string`): Country ## `Emp_Size` (type: `string`): Employee Size ## `Industy` (type: `string`): Industry ## `Limit` (type: `string`): Number of Record You want to scrap ## Actor input object example ```json { "Emp_Size": "", "Industy": "" } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("bhansalisoft/crunchbase-scraper-without-login").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 = {} # Run the Actor and wait for it to finish run = client.actor("bhansalisoft/crunchbase-scraper-without-login").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 '{}' | apify call bhansalisoft/crunchbase-scraper-without-login --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bhansalisoft/crunchbase-scraper-without-login", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crunchbase Scraper (Without login)", "description": "Crunchbase Scraper (Without login) : Scrap Company Data from 4 Millions Database of Crunchbase Companies without login and pro plan. we have live crunchbase database", "version": "0.0", "x-build-id": "eYfV1G5q1Wk3dZ2ot" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bhansalisoft~crunchbase-scraper-without-login/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bhansalisoft-crunchbase-scraper-without-login", "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/bhansalisoft~crunchbase-scraper-without-login/runs": { "post": { "operationId": "runs-sync-bhansalisoft-crunchbase-scraper-without-login", "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/bhansalisoft~crunchbase-scraper-without-login/run-sync": { "post": { "operationId": "run-sync-bhansalisoft-crunchbase-scraper-without-login", "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": { "company_name": { "title": "Company Name", "type": "string", "description": "Company Name" }, "Country": { "title": "Country", "type": "string", "description": "Country" }, "State": { "title": "State", "type": "string", "description": "Country" }, "Emp_Size": { "title": "Employee Size", "enum": [ "", "0", "1-10", "11-50", "51-100", "101-250", "251-500", "501-1000", "1001-5000", "5001-10000", "10000+" ], "type": "string", "description": "Employee Size", "default": "" }, "Industy": { "title": "Industry", "enum": [ "", "Administrative Services", "Advertising", "Agriculture and Farming", "Apps", "Artificial Intelligence (AI)", "Biotechnology", "Blockchain and Cryptocurrency", "Clothing and Apparel", "Commerce and Shopping", "Community and Lifestyle", "Consumer Electronics", "Consumer Goods", "Content and Publishing", "Data and Analytics", "Design", "Education", "Energy", "Events", "Financial Services", "Food and Beverage", "Gaming", "Government and Military", "Hardware", "Health Care", "Information Technology", "Internet Services", "Lending and Investments", "Manufacturing", "Media and Entertainment", "Messaging and Telecommunications", "Mobile", "Music and Audio", "Natural Resources", "Navigation and Mapping", "Other", "Payments", "Platforms", "Privacy and Security", "Professional Services", "Real Estate", "Sales and Marketing", "Science and Engineering", "Social Impact", "Software", "Sports", "Sustainability", "Transportation", "Travel and Tourism", "Video" ], "type": "string", "description": "Industry", "default": "" }, "Limit": { "title": "Number of Record You want to scrap", "type": "string", "description": "Number of Record You want to scrap" } } }, "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 } } } } } } } } } } ```