# Leads Prospector Pro - Find leads with Emails like Apollo (`leadzen/leads-prospector-pro`) Actor 📊 Get business email, 🔗 LinkedIn stats, 🏢 company details, 💼 experience history, and more enriched lead data. - **URL**: https://apify.com/leadzen/leads-prospector-pro.md - **Developed by:** [Leadzen](https://apify.com/leadzen) (community) - **Categories:** Lead generation, Jobs, Integrations - **Stats:** 468 total users, 34 monthly users, 100.0% runs succeeded, 12 bookmarks - **User rating**: 3.92 out of 5 stars ## 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. 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 ## 🚀 Leads Prospector Pro **Advanced B2B lead discovery with powerful company & people filters** Leads Prospector Pro is a high-performance B2B leads finder that helps you discover high-quality decision-makers and professionals at scale. Filter through millions of profiles using job titles, seniority, departments, company attributes, and location — and receive richly enriched lead data ready for sales, recruiting, or outreach. ### ✨ Features - **Comprehensive Filtering**: Filter leads by job title, seniority, department, location, company size, industry, and more - **Email Enrichment**: Automatically fetch email addresses for your leads - **Rich Data**: Get detailed company information, work experience, education, skills, and languages - **High Volume**: Fetch up to 2,500 leads per run (paying users) - **Easy Integration**: Export data in JSON format for easy integration with your CRM or sales tools ### 📋 Input Parameters #### Basic Settings - **Number of leads to fetch**: Set how many leads you want to fetch (default: 2500, max: 2500) - **File name / Run label**: Give your run a custom name for easy identification #### 👔 Job Title - Include specific job titles (e.g., "CEO", "Software Developer", "Sales Manager") - Supports multiple titles #### 🎯 Seniority Level - Owner/Partner - CXO - Vice President - Director - Experienced Manager - Entry level Manager - Manager - Strategic - Senior - Entry - Trainee #### 🏢 Department Filter by department including: - Sales - Engineering - Marketing - Finance - Human Resources - Legal - Operations - And many more... #### 🌍 Location - **Include locations**: Specify countries, states, or cities to include - **Exclude locations**: Specify locations to exclude from results #### 👤 Contact Filters - **Current Position Tenure**: Filter by how long someone has been in their current position - **Years of Experience**: Filter by total years of professional experience - **Number of Connections**: Filter by LinkedIn connection count #### 🏭 Company Filters - **Company Size**: Filter by employee count (e.g., "11-50", "51-200", "501-1000") - **Company Industry**: Include or exclude specific industries - **Company Keywords**: Include or exclude companies with specific keywords - **Company Type**: Filter by company type (e.g., "Privately Held", "Public Company") - **Company Funding**: Filter by when the company last received funding ### 📊 Output Format Each lead includes the following data: #### Contact Information - First Name - Last Name - Full Name - Email Address - LinkedIn URL - Profile Image URL #### Professional Details - Job Title - Headline - Seniority Level - Department - Summary - Experience Count - Current Job Duration - Years of Experience #### Company Information - Company Name - Company Website - Company LinkedIn URL - Company Size (Employee Count) - Company Followers Count - Company Description - Company Founded Year - Company Logo URL - Company Type - Company Headquarters City - Company Headquarters Country #### Location - County - State - Country #### Additional Data - Connections Count - Skills (sorted array) - Languages (with proficiency) - Work Experience (full history with company details) - Education (institution, program, URLs) ### 💰 Pricing This actor uses **Pay-Per-Event (PPE) monetization**. You are charged based on the number of leads successfully fetched and saved to your dataset. - **Event Name**: `lead-fetched` - **Charging**: Each lead that is successfully processed and saved incurs a charge ### 📈 Rate Limits #### Free Plan Users - **Maximum leads per run**: 100 leads - **Daily run limit**: 20 runs per day - **Access**: Web UI only (not available via API) #### Paying Users - **Maximum leads per run**: 2,500 leads - **Daily run limit**: 100,000 runs per day - **Access**: Web UI and API ### 🚀 How to Use 1. **Configure Your Filters** - Fill in the input form with your desired filters - Set the number of leads you want to fetch - Optionally add a custom file name for your run 2. **Run the Actor** - Click "Start" to begin fetching leads - The actor will process leads in batches of 100 3. **Access Your Results** - Results are saved to the dataset in real-time - View results in the "Output" tab - Download data as JSON, CSV, or Excel - Use the Apify API to retrieve results programmatically ### 📝 Example Use Cases #### Find Sales Managers in Tech Companies ```` Job Title: \["Sales Manager", "Sales Director"] Department: \["Sales"] Company Industry: \["Technology, Information and Internet"] Location: \["United States"] Company Size: \["51-200", "201-500"] ``` #### Find C-Level Executives ``` Seniority: \["CXO", "Owner/Partner"] Company Size: \["501-1000", "1001-5000"] Location: \["California", "New York"] ``` #### Find Entry-Level Developers ``` Job Title: \["Software Developer", "Junior Developer"] Seniority: \["Entry", "Trainee"] Department: \["Engineering"] Years of Experience: \["0 to 2 years", "2 to 5 years"] ```` ### 🔧 Integration #### Using Apify API ```javascript // Start a run const run = await ApifyClient.actor("YOUR_ACTOR_ID").call({ fetch_count: 100, job_title: ["Sales Manager"], location: ["United States"], // ... other filters }); // Get results const { items } = await ApifyClient.dataset(run.defaultDatasetId).listItems(); ```` #### Export Options - **JSON**: Direct API access or download - **CSV**: Export for spreadsheet applications - **Excel**: Export for Excel-compatible tools - **Webhook**: Automatically send results to your endpoint ### 📞 Support For questions, issues, or feature requests: - Contact: leadzen1816@gmail.com - Check the Apify Console for run logs and error messages ### 🔄 Updates Stay tuned for updates and improvements: - Additional data fields - Performance optimizations - New filtering options *** **Version**: 1.0\ **Last Updated**: 2025 Happy Prospecting! 🎯 # Actor input Schema ## `fetch_count` (type: `integer`): Leave this field empty if you want to scrape all leads for your search criteria (Max 2500 leads). ## `file_name` (type: `string`): Give this run a custom file name or label (for easy recognition in the run history). ## `job_title` (type: `array`): Include these job titles. E.g., realtor, software developer, teacher etc. ## `seniority` (type: `array`): Seniority ## `department` (type: `array`): Department ## `contact_location` (type: `array`): Enter the location to filter the leads. ## `contact_not_location` (type: `array`): Enter the location to filter the leads. ## `current_position_tenure` (type: `array`): Current Position Tenure ## `years_of_experience` (type: `array`): Years of Experience ## `number_of_connections` (type: `array`): Number of Linkedin Connections ## `size` (type: `array`): Company Size ## `company_industry` (type: `array`): Include any of these industries ## `company_not_industry` (type: `array`): Exclude any of these industries ## `company_keywords` (type: `array`): Include these keywords. E.g. restaurant, fitness, gym, software development ## `company_not_keywords` (type: `array`): Exclude these keywords. E.g. restaurant, fitness, gym, software development ## `company_type` (type: `array`): Company Type ## `company_last_funding_round_at` (type: `array`): Company Last Funding Round At ## Actor input object example ```json { "fetch_count": 2500, "file_name": "Prospects" } ``` # 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("leadzen/leads-prospector-pro").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("leadzen/leads-prospector-pro").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 leadzen/leads-prospector-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leadzen/leads-prospector-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leads Prospector Pro - Find leads with Emails like Apollo", "description": "📊 Get business email, 🔗 LinkedIn stats, 🏢 company details, 💼 experience history, and more enriched lead data.", "version": "0.0", "x-build-id": "wcUqDUboVzwtpDIZQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leadzen~leads-prospector-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leadzen-leads-prospector-pro", "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/leadzen~leads-prospector-pro/runs": { "post": { "operationId": "runs-sync-leadzen-leads-prospector-pro", "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/leadzen~leads-prospector-pro/run-sync": { "post": { "operationId": "run-sync-leadzen-leads-prospector-pro", "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": { "fetch_count": { "title": "#️⃣ Number of leads to fetch", "type": "integer", "description": "Leave this field empty if you want to scrape all leads for your search criteria (Max 2500 leads).", "default": 2500 }, "file_name": { "title": "📁 File name / Run label", "type": "string", "description": "Give this run a custom file name or label (for easy recognition in the run history).", "default": "Prospects" }, "job_title": { "title": "Include these job titles. E.g., realtor, software developer, teacher etc.", "type": "array", "description": "Include these job titles. E.g., realtor, software developer, teacher etc.", "items": { "type": "string" } }, "seniority": { "title": "Seniority", "type": "array", "description": "Seniority", "items": { "type": "string", "enum": [ "Owner/Partner", "CXO", "Vice President", "Director", "Experienced Manager", "Entry level Manager", "Manager", "Strategic", "Senior", "Entry", "Trainee" ], "enumTitles": [ "Owner/Partner", "CXO", "Vice President", "Director", "Experienced Manager", "Entry level Manager", "Manager", "Strategic", "Senior", "Entry", "Trainee" ] } }, "department": { "title": "Department", "type": "array", "description": "Department", "items": { "type": "string", "enum": [ "Accounting", "Administrative", "Arts and Design", "Business Development", "Community and Social Services", "Consulting", "Education", "Engineering", "Entrepreneurship", "Finance", "Healthcare Services", "Human Resources", "Information Technology", "Legal", "Marketing", "Media and Communication", "Military and Protective Services", "Operations", "Other", "Product Management", "Program and Project Management", "Purchasing", "Quality Assurance", "Real Estate", "Research", "Sales", "Support" ], "enumTitles": [ "Accounting", "Administrative", "Arts and Design", "Business Development", "Community and Social Services", "Consulting", "Education", "Engineering", "Entrepreneurship", "Finance", "Healthcare Services", "Human Resources", "Information Technology", "Legal", "Marketing", "Media and Communication", "Military and Protective Services", "Operations", "Other", "Product Management", "Program and Project Management", "Purchasing", "Quality Assurance", "Real Estate", "Research", "Sales", "Support" ] } }, "contact_location": { "title": "Location (Country/State/City) [Include] e.g. United States, California, Spain, etc.", "type": "array", "description": "Enter the location to filter the leads.", "items": { "type": "string" } }, "contact_not_location": { "title": "Location (Country/State/City) [Exclude] e.g. United States, California, Spain, etc.", "type": "array", "description": "Enter the location to filter the leads.", "items": { "type": "string" } }, "current_position_tenure": { "title": "Current Position Tenure", "type": "array", "description": "Current Position Tenure", "items": { "type": "string", "enum": [ "Less than 6 months", "6 months to 1 year", "1 to 3 years", "3 to 5 years", "More than 5 years" ] } }, "years_of_experience": { "title": "Years of Experience", "type": "array", "description": "Years of Experience", "items": { "type": "string", "enum": [ "Less than 1 year", "1 to 2 years", "2 to 5 years", "5 to 10 years", "More than 10 years" ] } }, "number_of_connections": { "title": "Number of Linkedin Connections", "type": "array", "description": "Number of Linkedin Connections", "items": { "type": "string", "enum": [ "less than 50", "51-250", "251-500", "500+" ] } }, "size": { "title": "Company Size", "type": "array", "description": "Company Size", "items": { "type": "string", "enum": [ "1-10", "11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001-10000", "10001+" ] } }, "company_industry": { "title": "Include any of these industries", "type": "array", "description": "Include any of these industries", "items": { "type": "string", "enum": [ "Technology, Information and Internet", "IT Services and IT Consulting", "Business Consulting and Services", "Advertising Services", "Accounting", "Media and Telecommunications", "Real Estate", "Food and Beverage Services", "Hospitality", "Food and Beverage Retail", "Online and Mail Order Retail", "Retail Apparel and Fashion", "Retail Health and Personal Care Products", "Retail Luxury Goods and Jewelry", "Retail Motor Vehicles", "Capital Markets", "Credit Intermediation", "Funds and Trusts", "Insurance", "Hospitals", "Medical Practices", "Medical Equipment Manufacturing", "Community Services", "Individual and Family Services", "Staffing and Recruiting", "Building Construction", "Civil Engineering", "Specialty Trade Contractors", "Transportation Equipment Manufacturing", "Freight and Package Transportation", "Truck Transportation", "Warehousing and Storage", "Mining", "Oil and Gas", "Electric Power Generation", "Electric Power Transmission, Control, and Distribution", "Natural Gas Distribution", "Wholesale Food and Beverage", "Wholesale Import and Export", "Services for Renewable Energy", "Collection Agencies", "Events Services", "Facilities Services", "Fundraising", "Office Administration", "Security and Investigations", "Telephone Call Centers", "Translation and Localization", "Travel Arrangements", "Writing and Editing", "Civic and Social Organizations", "Household Services", "Non-profit Organizations", "Personal and Laundry Services", "Philanthropic Fundraising Services", "Religious Institutions", "Repair and Maintenance", "E-Learning Providers", "Higher Education", "Primary and Secondary Education", "Professional Training and Coaching", "Technical and Vocational Training", "Artists and Writers", "Museums, Historical Sites, and Zoos", "Musicians", "Performing Arts and Spectator Sports", "Recreational Facilities", "Farming", "Forestry and Logging", "Ranching and Fisheries", "Administration of Justice", "Economic Programs", "Environmental Quality Programs", "Health and Human Services", "Housing and Community Development", "Military and International Affairs", "Public Policy Offices", "Space Research and Technology", "Holding Companies", "Nursing Homes and Residential Care Facilities", "Apparel Manufacturing", "Appliances, Electrical, and Electronics Manufacturing", "Chemical Manufacturing", "Climate Technology Products Manufacturing", "Computers and Electronics Manufacturing", "Fabricated Metal Products", "Food and Beverage Manufacturing", "Furniture and Home Furnishings Manufacturing", "Glass, Ceramics and Concrete Manufacturing", "Leather Product Manufacturing", "Machinery Manufacturing", "Oil and Coal Product Manufacturing", "Paper and Forest Product Manufacturing", "Plastics and Rubber Product Manufacturing", "Primary Metal Manufacturing", "Printing Services", "Sporting Goods Manufacturing", "Textile Manufacturing", "Tobacco Manufacturing", "Wood Product Manufacturing", "Architecture and Planning", "Design Services", "Engineering Services", "Legal Services", "Photography", "Research Services", "Veterinary Services", "Equipment Rental Services", "Retail Appliances, Electrical, and Electronic Equipment", "Retail Art Dealers", "Retail Art Supplies", "Retail Books and Printed News", "Retail Building Materials and Garden Equipment", "Retail Florists", "Retail Furniture and Home Furnishings", "Retail Gasoline", "Retail Musical Instruments", "Retail Office Equipment", "Retail Office Supplies and Gifts", "Retail Recyclable Materials & Used Merchandise", "Airlines and Aviation", "Ground Passenger Transportation", "Maritime Transportation", "Pipeline Transportation", "Postal Services", "Rail Transportation", "Water, Waste, Steam, and Air Conditioning Services", "Wholesale Alcoholic Beverages", "Wholesale Apparel and Sewing Supplies", "Wholesale Appliances, Electrical, and Electronics", "Wholesale Building Materials", "Wholesale Chemical and Allied Products", "Wholesale Computer Equipment", "Wholesale Drugs and Sundries", "Wholesale Footwear", "Wholesale Furniture and Home Furnishings", "Wholesale Hardware, Plumbing, Heating Equipment", "Wholesale Luxury Goods and Jewelry", "Wholesale Machinery", "Wholesale Metals and Minerals", "Wholesale Motor Vehicles and Parts", "Wholesale Paper Products", "Wholesale Petroleum and Petroleum Products", "Wholesale Photography Equipment and Supplies", "Wholesale Raw Farm Products", "Wholesale Recyclable Materials" ] } }, "company_not_industry": { "title": "Exclude any of these industries", "type": "array", "description": "Exclude any of these industries", "items": { "type": "string", "enum": [ "Technology, Information and Internet", "IT Services and IT Consulting", "Business Consulting and Services", "Advertising Services", "Accounting", "Media and Telecommunications", "Real Estate", "Food and Beverage Services", "Hospitality", "Food and Beverage Retail", "Online and Mail Order Retail", "Retail Apparel and Fashion", "Retail Health and Personal Care Products", "Retail Luxury Goods and Jewelry", "Retail Motor Vehicles", "Capital Markets", "Credit Intermediation", "Funds and Trusts", "Insurance", "Hospitals", "Medical Practices", "Medical Equipment Manufacturing", "Community Services", "Individual and Family Services", "Staffing and Recruiting", "Building Construction", "Civil Engineering", "Specialty Trade Contractors", "Transportation Equipment Manufacturing", "Freight and Package Transportation", "Truck Transportation", "Warehousing and Storage", "Mining", "Oil and Gas", "Electric Power Generation", "Electric Power Transmission, Control, and Distribution", "Natural Gas Distribution", "Wholesale Food and Beverage", "Wholesale Import and Export", "Services for Renewable Energy", "Collection Agencies", "Events Services", "Facilities Services", "Fundraising", "Office Administration", "Security and Investigations", "Telephone Call Centers", "Translation and Localization", "Travel Arrangements", "Writing and Editing", "Civic and Social Organizations", "Household Services", "Non-profit Organizations", "Personal and Laundry Services", "Philanthropic Fundraising Services", "Religious Institutions", "Repair and Maintenance", "E-Learning Providers", "Higher Education", "Primary and Secondary Education", "Professional Training and Coaching", "Technical and Vocational Training", "Artists and Writers", "Museums, Historical Sites, and Zoos", "Musicians", "Performing Arts and Spectator Sports", "Recreational Facilities", "Farming", "Forestry and Logging", "Ranching and Fisheries", "Administration of Justice", "Economic Programs", "Environmental Quality Programs", "Health and Human Services", "Housing and Community Development", "Military and International Affairs", "Public Policy Offices", "Space Research and Technology", "Holding Companies", "Nursing Homes and Residential Care Facilities", "Apparel Manufacturing", "Appliances, Electrical, and Electronics Manufacturing", "Chemical Manufacturing", "Climate Technology Products Manufacturing", "Computers and Electronics Manufacturing", "Fabricated Metal Products", "Food and Beverage Manufacturing", "Furniture and Home Furnishings Manufacturing", "Glass, Ceramics and Concrete Manufacturing", "Leather Product Manufacturing", "Machinery Manufacturing", "Oil and Coal Product Manufacturing", "Paper and Forest Product Manufacturing", "Plastics and Rubber Product Manufacturing", "Primary Metal Manufacturing", "Printing Services", "Sporting Goods Manufacturing", "Textile Manufacturing", "Tobacco Manufacturing", "Wood Product Manufacturing", "Architecture and Planning", "Design Services", "Engineering Services", "Legal Services", "Photography", "Research Services", "Veterinary Services", "Equipment Rental Services", "Retail Appliances, Electrical, and Electronic Equipment", "Retail Art Dealers", "Retail Art Supplies", "Retail Books and Printed News", "Retail Building Materials and Garden Equipment", "Retail Florists", "Retail Furniture and Home Furnishings", "Retail Gasoline", "Retail Musical Instruments", "Retail Office Equipment", "Retail Office Supplies and Gifts", "Retail Recyclable Materials & Used Merchandise", "Airlines and Aviation", "Ground Passenger Transportation", "Maritime Transportation", "Pipeline Transportation", "Postal Services", "Rail Transportation", "Water, Waste, Steam, and Air Conditioning Services", "Wholesale Alcoholic Beverages", "Wholesale Apparel and Sewing Supplies", "Wholesale Appliances, Electrical, and Electronics", "Wholesale Building Materials", "Wholesale Chemical and Allied Products", "Wholesale Computer Equipment", "Wholesale Drugs and Sundries", "Wholesale Footwear", "Wholesale Furniture and Home Furnishings", "Wholesale Hardware, Plumbing, Heating Equipment", "Wholesale Luxury Goods and Jewelry", "Wholesale Machinery", "Wholesale Metals and Minerals", "Wholesale Motor Vehicles and Parts", "Wholesale Paper Products", "Wholesale Petroleum and Petroleum Products", "Wholesale Photography Equipment and Supplies", "Wholesale Raw Farm Products", "Wholesale Recyclable Materials" ] } }, "company_keywords": { "title": "Include these keywords. E.g. restaurant, fitness, gym, software development", "type": "array", "description": "Include these keywords. E.g. restaurant, fitness, gym, software development", "items": { "type": "string" } }, "company_not_keywords": { "title": "Exclude these keywords. E.g. restaurant, fitness, gym, software development", "type": "array", "description": "Exclude these keywords. E.g. restaurant, fitness, gym, software development", "items": { "type": "string" } }, "company_type": { "title": "Company Type", "type": "array", "description": "Company Type", "items": { "type": "string", "enum": [ "Public Company", "Privately Held", "Nonprofit", "Educational Institution", "Educational", "Partnership", "Self Employed", "Self Owned", "Government Agency", "Sole Proprietorship" ] } }, "company_last_funding_round_at": { "title": "Company Last Funding Round At", "type": "array", "description": "Company Last Funding Round At", "items": { "type": "string", "enum": [ "Less than 1 month", "1 month to 3 months", "3 months to 6 months", "More than 6 months" ] } } } }, "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 } } } } } } } } } } ```