# Crunchbase Scraper - Unlimited Data No API Pricing 100% Success (`davidsharadbhatt/crunchbase-company-scraper`) Actor Extract unlimited Crunchbase data without expensive API pricing. Get funding rounds, investors, revenue, employees & contact info. 130+ fields. $11.99/1K companies. No rate limits. 100% success rate. Alternative to Crunchbase Enterprise API. - **URL**: https://apify.com/davidsharadbhatt/crunchbase-company-scraper.md - **Developed by:** [David Bhatt](https://apify.com/davidsharadbhatt) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 418 total users, 27 monthly users, 98.4% runs succeeded, 9 bookmarks - **User rating**: 3.90 out of 5 stars ## Pricing from $11.99 / 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 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 Extract company data from Crunchbase including funding, investors, revenue, and contact information. ❌ No API subscription required. ### ⚡ Quick Start Set your filters (location, industry, keywords, funding dates) → Click **Start** → Download results in minutes ### 💡 Why Use This? | Feature | Crunchbase Pro | Crunchbase API | This Tool | | ------------------ | -------------- | -------------- | ------------| | Monthly Cost | $29 | $2,000+ | Pay per use | | Rate Limits | 200/day | 200/day | None | | Companies/Month | ~6,000 | ~6,000 | 4,000,000+ | | Data Fields | ~30 | ~50 | 130+ | | Export | Limited CSV | API only | CSV/Excel/JSON| 💰 **Pricing:** $11.99 per 1,000 companies 🎁 **Free Sample:** Test with 1,000 companies before purchasing ### 📦 What Data You Get #### 🏢 Company Information * Name, description, website * Headquarters location * Founded date, employee count * Company logo and status #### 💰 Funding & Financial Data * Total funding amount * Funding rounds (Seed, Series A, B, C, etc.) * Latest funding date and amount * Company valuation * IPO/acquisition status #### 🤝 Investors * Complete investor list * Lead investors by round * Investment timeline #### 📞 Contact & Social * Email addresses 📧 (when available) * Phone numbers 📱 (when available) * LinkedIn, Twitter, Facebook profiles ✅ **Total:** 130+ data fields per company ### ⚙️ Configuration #### 🌍 Location Filter Filter by headquarters. One location per line: ```` San Francisco, California, United States New York, New York, United States ```` #### 🏭 Industry Selection Choose from 700+ industries: * Software 💻 * Financial Services * Healthcare * Biotechnology * Artificial Intelligence * And 700+ more #### 🔑 Keywords Filter by description keywords (one per line): B2B SaaS enterprise #### 📅 Funding Date Range **NEW!** Filter companies by when they received funding: * **Funding Date From:** Start date (e.g., `2020-01-01`) * **Funding Date To:** End date (e.g., `2024-12-31`) 💡 **Example:** Find all companies funded between 2022-2024 to target recent fundraisers #### 🧩 Company Filters * **Operating Status:** Active / Closed / Both * **Company Type:** For-Profit / Non-Profit * **Max Companies:** Set limit or 0 for unlimited #### 🚫 Exclusion Filters Upload existing company lists (URLs or Crunchbase links) to avoid duplicates ### 📥 Input Example ```json { "location": "San Francisco, California, United States", "max_leads": 1000, "industries": ["Software", "Artificial Intelligence"], "operating_status": "Active", "company_type": "For-Profit", "description_keywords": "B2B\nSaaS", "funding_date_from": "2022-01-01", "funding_date_to": "2024-12-31" } ```` ### 📤 Output & Export #### 📂 Available Formats - CSV - Excel-compatible - Excel (XLSX) - Native format - JSON - For developers - API Access - Programmatic integration 💡 **Pro Tip:** For optimal column order, download from: **Storage → Key-Value Store → RESULTS.csv** ### ⚡ Performance #### 🚀 Speed - 1,000 companies: 3–5 minutes - 10,000 companies: 30–40 minutes #### ✅ Reliability - 99%+ success rate - Automatic retry on failures - Real-time progress logging #### 💻 Requirements - Minimum RAM: 1.4 GB - Recommended RAM: 2 GB ### 💰 Pricing #### 📊 Simple Pay-Per-Result | Volume | Cost | | ----------------- | --------- | | 1,000 companies | $11.99 | | 5,000 companies | $59.95 | | 10,000 companies | $119.90 | | 100,000 companies | $1,199.00 | 🎁 **Free sample available** 💵 Only pay for successfully extracted companies ### 🎯 Use Cases 📈 **B2B Lead Generation** – Build targeted prospect lists 📊 **Market Research** – Analyze industries & trends 💰 **Investment Intelligence** – Track funding & investors 🕵️ **Competitive Analysis** – Monitor competitors 🚀 **Startup Database** – Discover emerging companies 🎯 **Sales Prospecting** – Find decision-makers 📅 **Recent Fundraisers** – Target companies with fresh funding (NEW!) ### 💡 Use Case Examples with Funding Date Filter #### 🚀 Target Recent Series A Companies ```json { "industries": ["Software"], "funding_date_from": "2024-01-01", "funding_date_to": "2024-12-31", "description_keywords": "Series A" } ``` **Perfect for:** Sales teams targeting well-funded startups #### 💼 Find Companies Funded During Specific Period ```json { "location": "United States", "funding_date_from": "2023-06-01", "funding_date_to": "2023-12-31" } ``` **Perfect for:** Tracking funding trends and market analysis #### 🎯 Recent Tech Fundraisers in Bay Area ```json { "location": "San Francisco, California", "industries": ["Artificial Intelligence", "SaaS"], "funding_date_from": "2024-01-01" } ``` **Perfect for:** Investors looking for hot deals *** ### ❓ FAQ #### Do I need a subscription? ❌ No. Works without any API or subscription. #### How many companies can I extract? 🚀 Up to 4,000,000 per run with no limits. #### How accurate is the data? ✅ 99%+ success rate. #### Can I automate runs? ⏰ Yes. Schedule daily, weekly, or monthly. #### Is this legal? ⚖️ Yes. Uses publicly available data. Users must comply with laws. #### How do I avoid duplicates? 🚫 Use exclusion filters. #### What if extraction fails? 🔄 Retry up to 5 times. Failed records are not charged. #### How does the funding date filter work? 📅 Filters companies based on their **last funding date**. Great for finding recently funded companies! ### ⚡ Quick Start Guide 1️⃣ Set filters (location, industry, keywords, funding dates) 2️⃣ Choose number of companies 3️⃣ Add exclusions (optional) 4️⃣ Click Start ▶ 5️⃣ Download results 💡 **Best Practice:** Start with 1,000 companies before scaling ### 📞 Support 📧 Email: 📱 WhatsApp: +91 9346307029 ⏱️ Response Time: <24 hours ### 🔄 Updates 🔧 Regular updates for performance & improvements ✨ **NEW:** Funding date range filter added! 📅 Last updated: March 27, 2026 ### ⚖️ Legal This tool is for business intelligence and research purposes Users must comply with GDPR, CCPA, and other regulations We only extract publicly available data and handle it responsibly ### 🚀 Ready to Start? 👉 Try the **free sample 🎁** or configure your first extraction now! # Actor input Schema ## `maxCompanies` (type: `integer`): You may limit the number of search results as per your budget (max allowed 40 lakhs companies) ## `headquartersLocation` (type: `string`): Enter one or more locations one below another. Accepted formats are 'City' 'City', 'State' 'City, State, Country' or 'State, Country' 'Country'. e.g. Austin Austin, Texas Austin, Texas, United States Texas, United States United States Kindly consider ambiguity due to fact that multiple city/state can have same names. So it is always advisable to put atleast 2 descriptors like city, state or state, country ## `industry` (type: `array`): Select one or more industries you want to include in the search. ## `operatingStatus` (type: `string`): Choose operating status. ## `companyType` (type: `string`): Choose type of company ## `numberOfEmployees` (type: `array`): Select the employee size range(s) you want to include in the search. ## `funding_type` (type: `array`): Select the funding types of the companies you need ## `funding_date_start` (type: `string`): Select start date of the period during which the companies you need were funded ## `funding_date_end` (type: `string`): Select end date of the period during which the companies you need were funded ## Actor input object example ```json { "maxCompanies": 4000000, "headquartersLocation": "", "industry": [], "operatingStatus": "Active", "companyType": "For Profit", "numberOfEmployees": [], "funding_type": [] } ``` # Actor output Schema ## `overview` (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("davidsharadbhatt/crunchbase-company-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 = {} # Run the Actor and wait for it to finish run = client.actor("davidsharadbhatt/crunchbase-company-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 '{}' | apify call davidsharadbhatt/crunchbase-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=davidsharadbhatt/crunchbase-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crunchbase Scraper - Unlimited Data No API Pricing 100% Success", "description": "Extract unlimited Crunchbase data without expensive API pricing. Get funding rounds, investors, revenue, employees & contact info. 130+ fields. $11.99/1K companies. No rate limits. 100% success rate. Alternative to Crunchbase Enterprise API.", "version": "0.0", "x-build-id": "ufLWaYNoC1sUXboUH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/davidsharadbhatt~crunchbase-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-davidsharadbhatt-crunchbase-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/davidsharadbhatt~crunchbase-company-scraper/runs": { "post": { "operationId": "runs-sync-davidsharadbhatt-crunchbase-company-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/davidsharadbhatt~crunchbase-company-scraper/run-sync": { "post": { "operationId": "run-sync-davidsharadbhatt-crunchbase-company-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": [ "maxCompanies", "companyType" ], "properties": { "maxCompanies": { "title": "Enter Maximum number of companies you need", "minimum": 1000, "maximum": 4000000, "type": "integer", "description": "You may limit the number of search results as per your budget (max allowed 40 lakhs companies)", "default": 4000000 }, "headquartersLocation": { "title": "Enter Location of Company's headquarters one below another: Accepted formats are ('City'), ('City, State'), ('City, State, Country'), ('State'), ('State, Country') or ('Country'). Please do not use abbreviations such as TX, NY,USA or USA. click ❓ for more details", "type": "string", "description": "Enter one or more locations one below another. Accepted formats are 'City' \n 'City', 'State'\n 'City, State, Country' or 'State, Country'\n 'Country'. \n e.g. Austin \nAustin, Texas \nAustin, Texas, United States \nTexas, United States \nUnited States \nKindly consider ambiguity due to fact that multiple city/state can have same names. So it is always advisable to put atleast 2 descriptors like city, state or state, country ", "default": "" }, "industry": { "title": "Select Industry type", "uniqueItems": true, "type": "array", "description": "Select one or more industries you want to include in the search.", "items": { "type": "string", "enum": [ "3D Printing", "3D Technology", "A/B Testing", "Accounting", "Ad Exchange", "Ad Network", "Ad Retargeting", "Ad Server", "Ad Targeting", "Addiction Treatment", "Adult", "Advanced Materials", "Adventure Travel", "Advertising", "Advertising Platforms", "Advice", "Advocacy", "Aerospace", "Affiliate Marketing", "AgTech", "Agriculture", "Air Transportation", "Alternative Medicine", "Alternative Protein", "Alumni", "American Football", "Amusement Park and Arcade", "Analytics", "Android", "Angel Investment", "Animal Feed", "Animation", "App Discovery", "App Marketing", "Apparel", "Application Performance Management", "Application Specific Integrated Circuit (ASIC)", "Apps", "Aquaculture", "Architecture", "Archiving Service", "Art", "Artificial Intelligence (AI)", "Asset Management", "Assisted Living", "Assistive Technology", "Association", "Auctions", "Audio", "Audio Recording and Production", "Audio/Visual Equipment", "Audiobooks", "Augmented Reality", "Auto Insurance", "Automotive", "Autonomous Vehicles", "B2B", "B2C", "Baby", "Bakery", "Banking", "Baseball", "Basketball", "Battery", "Beauty", "Big Data", "Billing", "Biofuel", "Bioinformatics", "Biomass Energy", "Biometrics", "Biopharma", "Biotechnology", "Bitcoin", "Blockchain", "Blogging Platforms", "Boating", "Bookkeeping and Payroll", "Books", "Brand Marketing", "Brewing", "Broadcasting", "Browser Extensions", "Building Maintenance", "Building Material", "Business Development", "Business Information Systems", "Business Intelligence", "Business Process Automation (BPA)", "Business Travel", "CAD", "CMS", "CRM", "Call Center", "Cannabis", "Car Sharing", "Carbon Capture", "Card and Board Games", "Career Planning", "Casino", "Casual Games", "Catering", "Cause Marketing", "Celebrity", "Charging Infrastructure", "Charity", "Charter Schools", "Chatbot", "Chemical", "Chemical Engineering", "Child Care", "Children", "CivicTech", "Civil Engineering", "Classifieds", "Clean Energy", "CleanTech", "Cleaning Products", "Clinical Trials", "Cloud Computing", "Cloud Data Services", "Cloud Infrastructure", "Cloud Management", "Cloud Security", "Cloud Storage", "Coffee", "Collaboration", "Collaborative Consumption", "Collectibles", "Collection Agency", "College Recruiting", "Comics", "Commercial", "Commercial Insurance", "Commercial Lending", "Commercial Real Estate", "Communication Hardware", "Communications Infrastructure", "Communities", "Compliance", "Computer", "Computer Vision", "Concerts", "Confectionery", "Console Games", "Construction", "Consulting", "Consumer", "Consumer Applications", "Consumer Electronics", "Consumer Goods", "Consumer Lending", "Consumer Research", "Consumer Reviews", "Consumer Software", "Contact Management", "Content", "Content Creators", "Content Delivery Network", "Content Discovery", "Content Marketing", "Content Syndication", "Contests", "Continuing Education", "Cooking", "Copywriting", "Corporate Training", "Corrections Facilities", "Cosmetic Surgery", "Cosmetics", "Coupons", "Courier Service", "Coworking", "Craft Beer", "Creative Agency", "Credit", "Credit Bureau", "Credit Cards", "Cricket", "Crowdfunding", "Crowdsourcing", "Cryptocurrency", "Customer Service", "Cyber Security", "Cycling", "DIY", "DRM", "DSP", "Dairy", "Darknet", "Data Center", "Data Center Automation", "Data Collection and Labeling", "Data Governance", "Data Integration", "Data Management", "Data Mining", "Data Storage", "Data Visualization", "Database", "Dating", "Debit Cards", "Debt Collections", "Decentralized Finance (DeFi)", "Delivery", "Delivery Service", "Dental", "Desktop Apps", "DevOps", "Developer APIs", "Developer Platform", "Developer Tools", "Diabetes", "Dietary Supplements", "Digital Entertainment", "Digital Marketing", "Digital Media", "Digital Signage", "Direct Marketing", "Direct Sales", "Distillery", "Diving", "Document Management", "Document Preparation", "Domain Registrar", "Drone Management", "Drones", "E-Commerce", "E-Commerce Platforms", "E-Learning", "E-Signature", "EBooks", "EdTech", "Ediscovery", "Education", "Edutainment", "Elder Care", "Elderly", "Electric Vehicle", "Electrical Distribution", "Electronic Design Automation (EDA)", "Electronic Health Record (EHR)", "Electronics", "Email", "Email Marketing", "Embedded Software", "Embedded Systems", "Emergency Medicine", "Emerging Markets", "Employee Benefits", "Employment", "Energy", "Energy Efficiency", "Energy Management", "Energy Storage", "Enterprise", "Enterprise Applications", "Enterprise Resource Planning (ERP)", "Enterprise Software", "Environmental Consulting", "Environmental Engineering", "Equestrian", "Ethereum", "Event Management", "Event Promotion", "Events", "Extermination Service", "Eyewear", "Facebook", "Facial Recognition", "Facilities Support Services", "Facility Management", "Family", "Fantasy Sports", "Farmers Market", "Farming", "Fashion", "Fast-Moving Consumer Goods", "Ferry Service", "Fertility", "Field Support", "Field-Programmable Gate Array (FPGA)", "File Sharing", "Film", "Film Distribution", "Film Production", "FinTech", "Finance", "Financial Exchanges", "Financial Services", "First Aid", "Fitness", "Flash Sale", "Flash Storage", "Fleet Management", "Flowers", "Food Delivery", "Food Processing", "Food Trucks", "Food and Beverage", "Foreign Exchange Trading", "Forestry", "Fossil Fuels", "Foundries", "Franchise", "Fraud Detection", "Freelance", "Freemium", "Freight Service", "Fruit", "Fuel", "Fuel Cell", "Funding Platform", "Funerals", "Furniture", "GPS", "GPU", "Gambling", "Gamification", "Gaming", "Generation Y", "Generation Z", "Generative AI", "Genetics", "Geospatial", "Geothermal Energy", "Gift", "Gift Card", "Gift Exchange", "Gift Registry", "Golf", "Google", "Google Glass", "GovTech", "Government", "Graphic Design", "Green Building", "Green Consumer Goods", "GreenTech", "Grocery", "Group Buying", "Guides", "Handmade", "Hardware", "Health Care", "Health Diagnostics", "Health Insurance", "\"Heating, Ventilation, and Air Conditioning (HVAC)\"", "Hedge Funds", "Herbs and Spices", "Higher Education", "Hockey", "Home Appliances", "Home Decor", "Home Health Care", "Home Improvement", "Home Renovation", "Home Services", "Home and Garden", "Homeland Security", "Homeless Shelter", "Horticulture", "Hospital", "Hospitality", "Hotel", "Housekeeping Service", "Human Computer Interaction", "Human Resources", "Humanitarian", "Hunting", "Hydroelectric", "Hydroponics", "ISP", "IT Infrastructure", "IT Management", "IaaS", "Identity Management", "Image Recognition", "Impact Investing", "In-Flight Entertainment", "Incubators", "Independent Music", "Indoor Positioning", "Industrial", "Industrial Automation", "Industrial Design", "Industrial Engineering", "Industrial Manufacturing", "Information Services", "Information Technology", "Information and Communications Technology (ICT)", "Infrastructure", "Innovation Management", "InsurTech", "Insurance", "Intellectual Property", "Intelligent Systems", "Interior Design", "Internet", "Internet Radio", "Internet of Things", "Intrusion Detection", "Janitorial Service", "Jewelry", "Journalism", "Knowledge Management", "LGBT", "Landscaping", "Language Learning", "Laser", "Last Mile Transportation", "Laundry and Dry-cleaning", "Law Enforcement", "Lead Generation", "Lead Management", "Leasing", "Legal", "Legal Tech", "Leisure", "Lending", "Life Insurance", "Life Science", "Lifestyle", "Lighting", "Limousine Service", "Lingerie", "Linux", "Livestock", "Local", "Local Advertising", "Local Business", "Local Shopping", "Location Based Services", "Logistics", "Loyalty Programs", "MMO Games", "MOOC", "Machine Learning", "Machinery Manufacturing", "Made to Order", "Management Consulting", "Management Information Systems", "Manufacturing", "Mapping Services", "Marine Technology", "Marine Transportation", "Market Research", "Marketing", "Marketing Automation", "Marketplace", "Meat and Poultry", "Mechanical Design", "Mechanical Engineering", "Media and Entertainment", "Medical", "Medical Device", "Meeting Software", "Men's", "Mental Health", "Messaging", "Metaverse", "Micro Lending", "Military", "Millennials", "Mineral", "Mining", "Mining Technology", "Mobile", "Mobile Advertising", "Mobile Apps", "Mobile Devices", "Mobile Payments", "Mortgage", "Motion Capture", "Motorsports", "Multi-level Marketing", "Museums and Historical Sites", "Music", "Music Education", "Music Label", "Music Streaming", "Music Venues", "Musical Instruments", "NFC", "Nanotechnology", "National Security", "Native Advertising", "Natural Language Processing", "Natural Resources", "Navigation", "Network Hardware", "Network Security", "Neuroscience", "News", "Nightclubs", "Nightlife", "Nintendo", "Non Profit", "Non-Fungible Token (NFT)", "Nuclear", "Nursing and Residential Care", "Nutraceutical", "Nutrition", "Office Administration", "Office Supplies", "Oil and Gas", "Oncology", "Online Auctions", "Online Forums", "Online Games", "Online Portals", "Open Source", "Operating Systems", "Optical Communication", "Organic", "Organic Food", "Outdoor Advertising", "Outdoors", "Outpatient Care", "Outsourcing", "PC Games", "PaaS", "Packaging Services", "Paper Manufacturing", "Parenting", "Parking", "Parks", "Payments", "Peer to Peer", "Penetration Testing", "Performing Arts", "Personal Branding", "Personal Care and Hygiene", "Personal Development", "Personal Finance", "Personal Health", "Personalization", "Pet", "Pharmaceutical", "Photo Editing", "Photo Sharing", "Photography", "Physical Security", "Plant-Based Foods", "Plastics and Rubber Manufacturing", "Playstation", "Podcast", "Point of Sale", "Politics", "Pollution Control", "Ports and Harbors", "Power Grid", "Precious Metals", "Precision Medicine", "Prediction Markets", "Predictive Analytics", "Prepaid Cards", "Presentation Software", "Presentations", "Price Comparison", "Primary Education", "Primary and Urgent Care", "Printing", "Privacy", "Private Cloud", "Private Social Networking", "Procurement", "Product Design", "Product Management", "Product Research", "Product Search", "Productivity Tools", "Professional Networking", "Professional Services", "Project Management", "PropTech", "Property Development", "Property Insurance", "Property Management", "Psychology", "Public Relations", "Public Safety", "Public Transportation", "Publishing", "Q&A", "QR Codes", "Quality Assurance", "Quantified Self", "Quantum Computing", "RFID", "RISC", "Racing", "Railroad", "Reading Apps", "Real Estate", "Real Estate Brokerage", "Real Estate Investment", "Real Time", "Recipes", "Recreation", "Recreational Vehicles", "Recruiting", "Recycling", "Rehabilitation", "Religion", "Remote Sensing", "Renewable Energy", "Rental", "Rental Property", "Reputation", "Reservations", "Residential", "Resorts", "Restaurants", "Retail", "Retail Technology", "Retirement", "Ride Sharing", "Risk Management", "Robotic Process Automation (RPA)", "Robotics", "Roku", "Rugby", "SEM", "SEO", "SMS", "SNS", "STEM Education", "SaaS", "Sailing", "Sales", "Sales Automation", "Sales Enablement", "Same Day Delivery", "Satellite Communication", "Scheduling", "Seafood", "Search Engine", "Secondary Education", "Secondhand Goods", "Security", "Self-Storage", "Semantic Search", "Semantic Web", "Semiconductor", "Sensor", "Serious Games", "Service Industry", "Sex Industry", "Sex Tech", "Sharing Economy", "Shipping", "Shipping Broker", "Shoes", "Shopping", "Shopping Mall", "Simulation", "Skiing", "Skill Assessment", "Small and Medium Businesses", "Smart Building", "Smart Cities", "Smart Contracts", "Smart Home", "Snack Food", "Soccer", "Social", "Social Assistance", "Social Bookmarking", "Social CRM", "Social Entrepreneurship", "Social Impact", "Social Media", "Social Media Advertising", "Social Media Management", "Social Media Marketing", "Social Network", "Social News", "Social Recruiting", "Social Shopping", "Software", "Software Engineering", "Solar", "Space Travel", "Spam Filtering", "Special Education", "Speech Recognition", "Sponsorship", "Sporting Goods", "Sports", "Sports Leagues and Teams", "Staffing Agency", "Stock Exchanges", "Subscription Service", "Supply Chain Management", "Surfing", "Sustainability", "Swimming", "TV", "TV Production", "Table Tennis", "Task Management", "Tax Consulting", "Tax Preparation", "Taxi Service", "Tea", "Technical Support", "Teenagers", "Telecommunications", "Telehealth", "Tennis", "Test and Measurement", "Text Analytics", "Textbook", "Textiles", "Theatre", "Therapeutics", "Ticketing", "Timber", "Timeshare", "Tobacco", "Tour Operator", "Tourism", "Toys", "Trade Shows", "Trading Platform", "Training", "Transaction Processing", "Translation Service", "Transportation", "Travel", "Travel Accommodations", "Travel Agency", "Tutoring", "Twitter", "UX Design", "Ultimate Frisbee", "Underserved Children", "Unified Communications", "Universities", "Usability Testing", "Vacation Rental", "Vending and Concessions", "Venture Capital", "Vertical Search", "Veterinary", "Video", "Video Advertising", "Video Chat", "Video Conferencing", "Video Editing", "Video Games", "Video Streaming", "Video on Demand", "Virtual Assistant", "Virtual Currency", "Virtual Desktop", "Virtual Goods", "Virtual Reality", "Virtual Workforce", "Virtual World", "Virtualization", "Visual Search", "VoIP", "Vocational Education", "Volley Ball", "Warehouse Automation", "Warehousing", "Waste Management", "Water", "Water Purification", "Water Transportation", "Wealth Management", "Wearables", "Web Apps", "Web Browsers", "Web Design", "Web Development", "Web Hosting", "Web3", "WebOS", "Wedding", "Wellness", "Wholesale", "Wildlife Conservation", "Wind Energy", "Windows", "Windows Phone", "Wine And Spirits", "Winery", "Wired Telecommunications", "Wireless", "Women's", "Wood Processing", "Xbox", "Young Adults", "eSports", "iOS", "mHealth", "macOS" ] }, "default": [] }, "operatingStatus": { "title": "Select Operating Status", "enum": [ "Active", "Closed" ], "type": "string", "description": "Choose operating status.", "default": "Active" }, "companyType": { "title": "Select the type of company", "enum": [ "For Profit", "Non-Profit" ], "type": "string", "description": "Choose type of company", "default": "For Profit" }, "numberOfEmployees": { "title": "Select Number of Employees", "uniqueItems": true, "type": "array", "description": "Select the employee size range(s) you want to include in the search.", "items": { "type": "string", "enum": [ "1-10", "11-50", "51-100", "101-250", "251-500", "501-1000", "1001-5000", "5001-10000", "10000+" ] }, "default": [] }, "funding_type": { "title": "Select Funding Type", "type": "array", "description": "Select the funding types of the companies you need", "items": { "type": "string", "enum": [ "Seed", "Pre-Seed", "Series A", "Series B", "Series C", "Series D", "Series E", "Series F", "Series G", "Series H", "Series I", "Series J", "Post-IPO Equity", "Post-IPO Debt", "Post-IPO Secondary", "Venture – Series Unknown", "Angel", "Private Equity", "Debt Financing", "Convertible Note", "Grant", "Corporate Round", "Equity Crowdfunding", "Product Crowdfunding", "Secondary Market", "Non-equity Assistance", "Initial Coin Offering", "Undisclosed" ] }, "default": [] }, "funding_date_start": { "title": "Funding Date from", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$", "type": "string", "description": "Select start date of the period during which the companies you need were funded" }, "funding_date_end": { "title": "Funding Date to", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$", "type": "string", "description": "Select end date of the period during which the companies you need were funded" } } }, "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 } } } } } } } } } } ```