# 🍏 Leads Finder - $1/1k 50k leads like Apollo (`microworlds/leads-finder`) Actor ✅ Cheap alternative to Apollo, ZoomInfo & Lusha. ✅ Get business emails, LinkedIn profiles, company details etc.. - **URL**: https://apify.com/microworlds/leads-finder.md - **Developed by:** [Caleb David](https://apify.com/microworlds) (community) - **Categories:** Lead generation, AI, Social media - **Stats:** 17,823 total users, 62 monthly users, 0.0% runs succeeded, 242 bookmarks - **User rating**: 2.58 out of 5 stars ## Pricing from $1.00 / 1,000 price per leads 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 Generator > Scrape high quality leads for your marketing and sales needs. Scraper pulls up to 10k leads per run. Similar to Apollo ### Granular Filters ![Search Filters](https://apify-uploads-prod.s3.us-east-1.amazonaws.com/zfto2hEmnXPyH8KJy-issue-hPDBeaDzAiA1bWOgb-w0TnntRCtE-leads-generator-filters.png) ### ✨ Features - 🔎 Granular Search Filters: Apply filters to get leads that match your needs - 📊 **Rich Lead Data**: Get comprehensive information including: - Professional details (name, title, LinkedIn profile) - Contact information (work email, work phone number) - Company information - Social media profiles - 🔒 **Data Privacy**: Secure handling of sensitive information ### 🎯 Use Cases - **Sales Prospecting**: Find qualified leads with verified contact information - **Market Research**: Gather insights about companies and their employees - **Lead Generation**: Build targeted contact lists for your business - **Competitor Analysis**: Monitor industry professionals and their movements ### 📊 Output Format The actor returns detailed lead information in JSON, Excel, CSV or HTML table formats, including: - Personal information (name, title, location) - Contact details (email, phone) - Professional profiles (LinkedIn, Twitter, GitHub) - Company information - Department and function details #### Sample Output ```json { "first_name": "Satya", "last_name": "Nadella", "email": "", "linkedin_url": "http://www.linkedin.com/in/satyanadella", "headline": "Chairman and CEO at Microsoft", "title": "Chairman and CEO", "image": "https://media.licdn.com/dms/image/v2/C5603AQHHUuOSlRVA1w/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1579726625398?e=2147483647&v=beta&t=Rr7WT9uBM0byOij0oT_KirejIMVE4HK4r8NGIp0zjdI", "street_address": "", "city": "Redmond", "state": "Washington", "country": "United States", "postal_code": null, "sanitized_address": "Redmond, WA, USA", "time_zone": "America/Los_Angeles", "seniority": "c_suite", "domain_is_catchall": false, "departments": ["c_suite"], "organization_name": "Microsoft", "organization_primary_domain": "microsoft.com", "organization_website_url": "http://www.microsoft.com", "organization_linkedin_url": "http://www.linkedin.com/company/microsoft", "organization_twitter_url": "https://twitter.com/microsoft", "organization_facebook_url": "https://facebook.com/Microsoft", "organization_crunchbase_url": null, "organization_primary_phone": "+1 800-642-7676", "organization_formatted_phone": "+18006427676", "organization_founded_year": 1975 } ```` ### 🚀 Getting Started 1. **Run the Actor**: Execute the scraper with your configuration 2. **Download Results**: Get your leads in JSON, Excel, CSV or HTML table formats 3. **Integrate**: Use the data in your CRM or sales automation tools ### 🔒 Privacy & Compliance - Data is processed securely and confidentially ### 📈 Performance - **Reliability**: Built-in error handling and retry mechanisms - **Scalability**: Handle large datasets efficiently. Pull upto 50,000 leads per run. ### 🕒 Timeout - It can take up to 20 minutes to pull 1000 leads. Please configure your run limit accordingly. ### 💰 Pricing Pricing is tiered based on your current Apify plan. - **Free plan**: $7/1000 leads - **Starter**: $2.5/1000 leads - **Scale**: $2.2/1000 leads - **Business**: $2/1000 leads #### 💡 Notes - Minimum `100` leads per run. If you get less than 100 leads, you'll still be charged for at least 100 leads. Please ensure your search URL yields at least 100 leads. - Free users have a daily run limit of `2` and are limited by `100` leads per run, charged at `$7/1,000` results. ### ⚠️ Disclaimer The actor pulls emails at 'best-efforts'. Not all leads may include emails. Currently, it can pull upto ~80% of emails (can be more). ### 🤝 Support Need help? Open an issue on the "Issues" tab. *** *Built with ❤️ for sales and marketing professionals* # Actor input Schema ## `max_result` (type: `integer`): Maximum number of results. Can pull up to 50k leads per run ## `contact_job_titles` (type: `array`): Include any of these job titles. E.g., marketing, sales, manager, etc. ## `contact_job_not_titles` (type: `array`): Exclude these job titles. E.g., marketing, sales, manager, etc. ## `contact_levels` (type: `array`): Management Level ## `email_status` (type: `array`): Email status of prospect ## `contact_email_exclude_catch_all_domains` (type: `boolean`): Exclude catch-all domains. This will exclude leads whose domain is a catch-all ## `company_job_titles` (type: `array`): Company is currently hiring for any of these job titles. E.g., project manager, accountant, marketing manager ## `company_num_employees_range` (type: `array`): Number of employees. E.g., 1-10, 201-500, etc ## `company_locations` (type: `array`): Location of company's headquarters. You can provide city names as well e.g. new york or New York, NY, Germany, dallas, paris ## `company_not_locations` (type: `array`): Company's headquarters is not in these locations. You can provide city names as well e.g. New York or New York, NY, Germany, dallas, paris ## `company_domains` (type: `array`): Include any of these domains. E.g., google.com, x.com, tesla.com ## `company_industry` (type: `array`): Include any of these industries ## `company_not_industry` (type: `array`): Exclude these industries ## `keywords` (type: `array`): Include these keywords. E.g. manufacturing, roofing, plumbing services ## `not_keywords` (type: `array`): Exclude these keywords. E.g. manufacturing, roofing, plumbing services ## `contact_location` (type: `array`): Prospects are located in these locations. E.g. italy, germany, france, madrid ## `contact_not_location` (type: `array`): Prospects are not located in these locations. E.g. italy, germany, france, madrid ## `contact_min_total_year_of_experience` (type: `integer`): Minimum total years of experience ## `contact_max_total_year_of_experience` (type: `integer`): Maximum total years of experience ## `contact_min_years_in_current_role` (type: `integer`): Minimum years in current role ## `contact_max_years_in_current_role` (type: `integer`): Maximum years in current role ## `contact_min_months_in_current_role` (type: `integer`): Minimum months in current role ## `contact_max_months_in_current_role` (type: `integer`): Maximum months in current role ## `company_min_founded_year` (type: `integer`): Minimum founded year ## `company_max_founded_year` (type: `integer`): Maximum founded year ## `company_include_unknown_founded_year` (type: `boolean`): Include unknown founded year ## `company_min_retail_location_count` (type: `integer`): Minimum retail location count ## `company_max_retail_location_count` (type: `integer`): Maximum retail location count ## `min_revenue` (type: `integer`): Minimum revenue ## `max_revenue` (type: `integer`): Maximum revenue ## Actor input object example ```json { "max_result": 1000, "email_status": [ "verified" ], "contact_email_exclude_catch_all_domains": false, "company_include_unknown_founded_year": true } ``` # 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 = { "max_result": 1000, "email_status": [ "verified" ], "company_include_unknown_founded_year": true }; // Run the Actor and wait for it to finish const run = await client.actor("microworlds/leads-finder").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 = { "max_result": 1000, "email_status": ["verified"], "company_include_unknown_founded_year": True, } # Run the Actor and wait for it to finish run = client.actor("microworlds/leads-finder").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 '{ "max_result": 1000, "email_status": [ "verified" ], "company_include_unknown_founded_year": true }' | apify call microworlds/leads-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=microworlds/leads-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🍏 Leads Finder - $1/1k 50k leads like Apollo", "description": "✅ Cheap alternative to Apollo, ZoomInfo & Lusha. ✅ Get business emails, LinkedIn profiles, company details etc..", "version": "0.0", "x-build-id": "84QojqUOEJarQMsSN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/microworlds~leads-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-microworlds-leads-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/microworlds~leads-finder/runs": { "post": { "operationId": "runs-sync-microworlds-leads-finder", "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/microworlds~leads-finder/run-sync": { "post": { "operationId": "run-sync-microworlds-leads-finder", "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": { "max_result": { "title": "Maximum number of results. Can pull up to 50k leads per run", "type": "integer", "description": "Maximum number of results. Can pull up to 50k leads per run" }, "contact_job_titles": { "title": "Include any of these job titles. E.g., marketing, sales, manager, etc.", "type": "array", "description": "Include any of these job titles. E.g., marketing, sales, manager, etc.", "items": { "type": "string" } }, "contact_job_not_titles": { "title": "Exclude these job titles. E.g., marketing, sales, manager, etc.", "type": "array", "description": "Exclude these job titles. E.g., marketing, sales, manager, etc.", "items": { "type": "string" } }, "contact_levels": { "title": "Management Level", "type": "array", "description": "Management Level", "items": { "type": "string", "enum": [ "Owner", "Founder", "C-Suite", "Partner", "VP", "Head", "Director", "Manager", "Senior", "Entry", "Intern" ] } }, "email_status": { "title": "Email Status", "type": "array", "description": "Email status of prospect", "items": { "type": "string", "enum": [ "verified", "unverified", "unknown" ], "enumTitles": [ "Verified", "Unverified", "Unknown" ] } }, "contact_email_exclude_catch_all_domains": { "title": "Exclude catch-all domains", "type": "boolean", "description": "Exclude catch-all domains. This will exclude leads whose domain is a catch-all", "default": false }, "company_job_titles": { "title": "Company is currently hiring for any of these job titles. E.g., project manager, accountant, marketing manager", "type": "array", "description": "Company is currently hiring for any of these job titles. E.g., project manager, accountant, marketing manager", "items": { "type": "string" } }, "company_num_employees_range": { "title": "Number of employees. E.g., 1-10, 201-500, etc", "type": "array", "description": "Number of employees. E.g., 1-10, 201-500, etc", "items": { "type": "string", "enum": [ "1-10", "11-20", "21-50", "51-100", "101-200", "201-500", "501-1000", "1001-2000", "2001-5000", "5001-10000", "5001-8000", "8001-10000", "10001+" ] } }, "company_locations": { "title": "Location of company's headquarters. You can provide city names as well e.g. new york or New York, NY, Germany, dallas, paris", "type": "array", "description": "Location of company's headquarters. You can provide city names as well e.g. new york or New York, NY, Germany, dallas, paris", "items": { "type": "string" } }, "company_not_locations": { "title": "Company's headquarters is not in these locations. You can provide city names as well e.g. New York or New York, NY, Germany, dallas, paris", "type": "array", "description": "Company's headquarters is not in these locations. You can provide city names as well e.g. New York or New York, NY, Germany, dallas, paris", "items": { "type": "string" } }, "company_domains": { "title": "Include any of these domains. E.g., google.com, x.com, tesla.com", "type": "array", "description": "Include any of these domains. E.g., google.com, x.com, tesla.com", "items": { "type": "string" } }, "company_industry": { "title": "Include any of these industries", "type": "array", "description": "Include any of these industries", "items": { "type": "string", "enum": [ "Accounting", "Agriculture", "Airlines/Aviation", "Alternative Dispute Resolution", "Alternative Medicine", "Animation", "Apparel & Fashion", "Architecture & Planning", "Arts & Crafts", "Automotive", "Aviation & Aerospace", "Banking", "Biotechnology", "Broadcast Media", "Building Materials", "Business Supplies & Equipment", "Capital Markets", "Chemicals", "Civic & Social Organization", "Civil Engineering", "Commercial Real Estate", "Computer & Network Security", "Computer Games", "Computer Hardware", "Computer Networking", "Computer Software", "Construction", "Consumer Electronics", "Consumer Goods", "Consumer Services", "Cosmetics", "Dairy", "Defense & Space", "Design", "E-Learning", "Education Management", "Electrical/Electronic Manufacturing", "Entertainment", "Environmental Services", "Events Services", "Executive Office", "Facilities Services", "Farming", "Financial Services", "Fine Art", "Fishery", "Food & Beverages", "Food Production", "Fund-Raising", "Furniture", "Gambling & Casinos", "Glass, Ceramics & Concrete", "Government Administration", "Government Relations", "Graphic Design", "Health, Wellness & Fitness", "Higher Education", "Hospital & Health Care", "Hospitality", "Human Resources", "Import & Export", "Individual & Family Services", "Industrial Automation", "Information Services", "Information Technology & Services", "Insurance", "International Affairs", "International Trade & Development", "Internet", "Investment Banking", "Investment Management", "Judiciary", "Law Enforcement", "Law Practice", "Legal Services", "Legislative Office", "Leisure, Travel & Tourism", "Libraries", "Logistics & Supply Chain", "Luxury Goods & Jewelry", "Machinery", "Management Consulting", "Maritime", "Market Research", "Marketing & Advertising", "Mechanical or Industrial Engineering", "Media Production", "Medical Devices", "Medical Practice", "Mental Health Care", "Military", "Mining & Metals", "Motion Pictures & Film", "Museums & Institutions", "Music", "Nanotechnology", "Newspapers", "Nonprofit Organization Management", "Oil & Energy", "Online Media", "Outsourcing/Offshoring", "Package/Freight Delivery", "Packaging & Containers", "Paper & Forest Products", "Performing Arts", "Pharmaceuticals", "Philanthropy", "Photography", "Plastics", "Political Organization", "Primary/Secondary Education", "Printing", "Professional Training & Coaching", "Program Development", "Public Policy", "Public Relations & Communications", "Public Safety", "Publishing", "Railroad Manufacture", "Ranching", "Real Estate", "Recreational Facilities & Services", "Religious Institutions", "Renewables & Environment", "Research", "Restaurants", "Retail", "Security & Investigations", "Semiconductors", "Shipbuilding", "Sporting Goods", "Sports", "Staffing & Recruiting", "Supermarkets", "Telecommunications", "Textiles", "Think Tanks", "Tobacco", "Translation & Localization", "Transportation/Trucking/Railroad", "Utilities", "Venture Capital & Private Equity", "Veterinary", "Warehousing", "Wholesale", "Wine & Spirits", "Wireless", "Writing & Editing" ] } }, "company_not_industry": { "title": "Exclude these industries", "type": "array", "description": "Exclude these industries", "items": { "type": "string", "enum": [ "Accounting", "Agriculture", "Airlines/Aviation", "Alternative Dispute Resolution", "Alternative Medicine", "Animation", "Apparel & Fashion", "Architecture & Planning", "Arts & Crafts", "Automotive", "Aviation & Aerospace", "Banking", "Biotechnology", "Broadcast Media", "Building Materials", "Business Supplies & Equipment", "Capital Markets", "Chemicals", "Civic & Social Organization", "Civil Engineering", "Commercial Real Estate", "Computer & Network Security", "Computer Games", "Computer Hardware", "Computer Networking", "Computer Software", "Construction", "Consumer Electronics", "Consumer Goods", "Consumer Services", "Cosmetics", "Dairy", "Defense & Space", "Design", "E-Learning", "Education Management", "Electrical/Electronic Manufacturing", "Entertainment", "Environmental Services", "Events Services", "Executive Office", "Facilities Services", "Farming", "Financial Services", "Fine Art", "Fishery", "Food & Beverages", "Food Production", "Fund-Raising", "Furniture", "Gambling & Casinos", "Glass, Ceramics & Concrete", "Government Administration", "Government Relations", "Graphic Design", "Health, Wellness & Fitness", "Higher Education", "Hospital & Health Care", "Hospitality", "Human Resources", "Import & Export", "Individual & Family Services", "Industrial Automation", "Information Services", "Information Technology & Services", "Insurance", "International Affairs", "International Trade & Development", "Internet", "Investment Banking", "Investment Management", "Judiciary", "Law Enforcement", "Law Practice", "Legal Services", "Legislative Office", "Leisure, Travel & Tourism", "Libraries", "Logistics & Supply Chain", "Luxury Goods & Jewelry", "Machinery", "Management Consulting", "Maritime", "Market Research", "Marketing & Advertising", "Mechanical or Industrial Engineering", "Media Production", "Medical Devices", "Medical Practice", "Mental Health Care", "Military", "Mining & Metals", "Motion Pictures & Film", "Museums & Institutions", "Music", "Nanotechnology", "Newspapers", "Nonprofit Organization Management", "Oil & Energy", "Online Media", "Outsourcing/Offshoring", "Package/Freight Delivery", "Packaging & Containers", "Paper & Forest Products", "Performing Arts", "Pharmaceuticals", "Philanthropy", "Photography", "Plastics", "Political Organization", "Primary/Secondary Education", "Printing", "Professional Training & Coaching", "Program Development", "Public Policy", "Public Relations & Communications", "Public Safety", "Publishing", "Railroad Manufacture", "Ranching", "Real Estate", "Recreational Facilities & Services", "Religious Institutions", "Renewables & Environment", "Research", "Restaurants", "Retail", "Security & Investigations", "Semiconductors", "Shipbuilding", "Sporting Goods", "Sports", "Staffing & Recruiting", "Supermarkets", "Telecommunications", "Textiles", "Think Tanks", "Tobacco", "Translation & Localization", "Transportation/Trucking/Railroad", "Utilities", "Venture Capital & Private Equity", "Veterinary", "Warehousing", "Wholesale", "Wine & Spirits", "Wireless", "Writing & Editing" ] } }, "keywords": { "title": "Include these keywords. E.g. manufacturing, roofing, plumbing services", "type": "array", "description": "Include these keywords. E.g. manufacturing, roofing, plumbing services", "items": { "type": "string" } }, "not_keywords": { "title": "Exclude these keywords. E.g. manufacturing, roofing, plumbing services", "type": "array", "description": "Exclude these keywords. E.g. manufacturing, roofing, plumbing services", "items": { "type": "string" } }, "contact_location": { "title": "Prospects are located in these locations. E.g. italy, germany, france, madrid", "type": "array", "description": "Prospects are located in these locations. E.g. italy, germany, france, madrid", "items": { "type": "string" } }, "contact_not_location": { "title": "Prospects are not located in these locations. E.g. italy, germany, france, madrid", "type": "array", "description": "Prospects are not located in these locations. E.g. italy, germany, france, madrid", "items": { "type": "string" } }, "contact_min_total_year_of_experience": { "title": "Minimum total years of experience", "type": "integer", "description": "Minimum total years of experience" }, "contact_max_total_year_of_experience": { "title": "Maximum total years of experience", "type": "integer", "description": "Maximum total years of experience" }, "contact_min_years_in_current_role": { "title": "Minimum years in current role", "type": "integer", "description": "Minimum years in current role" }, "contact_max_years_in_current_role": { "title": "Maximum years in current role", "type": "integer", "description": "Maximum years in current role" }, "contact_min_months_in_current_role": { "title": "Minimum months in current role", "type": "integer", "description": "Minimum months in current role" }, "contact_max_months_in_current_role": { "title": "Maximum months in current role", "type": "integer", "description": "Maximum months in current role" }, "company_min_founded_year": { "title": "Minimum founded year", "type": "integer", "description": "Minimum founded year" }, "company_max_founded_year": { "title": "Maximum founded year", "type": "integer", "description": "Maximum founded year" }, "company_include_unknown_founded_year": { "title": "Include unknown founded year", "type": "boolean", "description": "Include unknown founded year" }, "company_min_retail_location_count": { "title": "Minimum retail location count", "type": "integer", "description": "Minimum retail location count" }, "company_max_retail_location_count": { "title": "Maximum retail location count", "type": "integer", "description": "Maximum retail location count" }, "min_revenue": { "title": "Minimum revenue", "type": "integer", "description": "Minimum revenue" }, "max_revenue": { "title": "Maximum revenue", "type": "integer", "description": "Maximum revenue" } } }, "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 } } } } } } } } } } ```