# Ultimate Skool Group Scraper (100% working 2026) (`rishabhmdy1/ultimate-skool-group-scraper-3-1000`) Actor 1. Only works with communities you're already a part of. 2. Only works with communities having their map section enabled. 3. Free members will have to pay: $5/1000 leads 4. Data Includes: Name, Bio, Location, Social Links, Points, Activity etc. 5. Initial results take 2-3 minutes to show up. - **URL**: https://apify.com/rishabhmdy1/ultimate-skool-group-scraper-3-1000.md - **Developed by:** [YTC](https://apify.com/rishabhmdy1) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.50 / 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 ## Ultimate Skool Group Scraper (Using Map Data) πŸš€ The most powerful member extraction tool for Skool.com. Extract rich, structured data from any Skool community with a single click. ### πŸ› οΈ Comprehensive Data Extraction Capture detailed profiles for lead generation and community analysis: - **Contact Details**: First name, Last name, and Full display name. - **Rich Profiles**: Full Bio, Profile Picture URL, and Social Media links. - **Engagement Data**: Contribution points and "Last Online" status. - **Geographic Precision**: City, Region, and exact Map Coordinates (Lat/Long). ### πŸ“‹ Important Requirements - **Map Feature**: This scraper **only** works with Skool groups that have their Map section enabled. - **Access Rights**: - **Public Groups**: Can be scraped instantly without membership. - **Private Groups**: You **must be a member** of the group to scrape its data. - **Patience is Key**: The engine takes **2-3 minutes** to initialize and sync map data. Please wait for the initial results to appear. ### 🌟 Features - Extracts all members from a Skool community map. - Checkpoint support to automatically resume across runs via Apify KeyValueStore. - Outputs clean data natively into Apify Dataset and CSV. ### βš™οΈ Inputs Configuration Configure your scraper via `input_schema.json` with target group slugs, rate limits, sticky proxies, and authentication (Cookies or Email/Password). # Actor input Schema ## `communityUrl` (type: `array`): List of Skool community URLs to scrape (e.g. https://www.skool.com/learn-ai). ## `authMode` (type: `string`): Choose how to authenticate to Skool. ## `skoolEmail` (type: `string`): Your Skool account email (used if Auth Mode is 'credentials'). ## `skoolPassword` (type: `string`): Your Skool account password (used if Auth Mode is 'credentials'). ## `cookieString` (type: `string`): Raw cookie string from your browser (used if Auth Mode is 'cookies'). ## `maxMembersPerCommunity` (type: `integer`): Maximum number of members to extract from each community. ## `userPreviewConcurrency` (type: `integer`): How many user profile requests to fire simultaneously (1–50). ## `minDelay` (type: `number`): Minimum delay before fetching a profile (seconds). ## `maxDelay` (type: `number`): Maximum delay before fetching a profile (seconds). ## `locationFilterDropdown` (type: `string`): Primary location to include. ## `locationFilterCity` (type: `array`): Add specific cities to include. ## `excludeLocationFilterDropdown` (type: `string`): Primary location to exclude. ## `excludeLocationFilterCity` (type: `array`): Add specific cities to exclude. ## Actor input object example ```json { "maxMembersPerCommunity": 1000, "userPreviewConcurrency": 30, "minDelay": 0.2, "maxDelay": 1, "locationFilterDropdown": "", "locationFilterCity": [], "excludeLocationFilterDropdown": "", "excludeLocationFilterCity": [] } ```` # 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("rishabhmdy1/ultimate-skool-group-scraper-3-1000").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("rishabhmdy1/ultimate-skool-group-scraper-3-1000").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call rishabhmdy1/ultimate-skool-group-scraper-3-1000 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rishabhmdy1/ultimate-skool-group-scraper-3-1000", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ultimate Skool Group Scraper (100% working 2026)", "description": "1) Only works with communities you're already a part of. \n2) Only works with communities having their map section enabled.\n3) Free members will have to pay: $5/1000 leads\n4) Data Includes: Name, Bio, Location, Social Links, Points, Activity etc.\n5) Initial results take 2-3 minutes to show up.", "version": "1.0", "x-build-id": "8tJQEzMrfa0d0qjOs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rishabhmdy1~ultimate-skool-group-scraper-3-1000/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rishabhmdy1-ultimate-skool-group-scraper-3-1000", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/rishabhmdy1~ultimate-skool-group-scraper-3-1000/runs": { "post": { "operationId": "runs-sync-rishabhmdy1-ultimate-skool-group-scraper-3-1000", "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/rishabhmdy1~ultimate-skool-group-scraper-3-1000/run-sync": { "post": { "operationId": "run-sync-rishabhmdy1-ultimate-skool-group-scraper-3-1000", "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": [ "communityUrl", "authMode" ], "properties": { "communityUrl": { "title": "Community URLs", "type": "array", "description": "List of Skool community URLs to scrape (e.g. https://www.skool.com/learn-ai).", "items": { "type": "string" } }, "authMode": { "title": "Login Mode (choose authentication type)", "enum": [ "", "credentials", "cookies" ], "type": "string", "description": "Choose how to authenticate to Skool." }, "skoolEmail": { "title": "Skool Email (fill if email/password login is selected)", "type": "string", "description": "Your Skool account email (used if Auth Mode is 'credentials')." }, "skoolPassword": { "title": "Skool Password (fill if email/password login is selected)", "type": "string", "description": "Your Skool account password (used if Auth Mode is 'credentials')." }, "cookieString": { "title": "Cookie String (fill if cookie login option is selected)", "type": "string", "description": "Raw cookie string from your browser (used if Auth Mode is 'cookies')." }, "maxMembersPerCommunity": { "title": "No of members to scrape per community", "minimum": 100, "type": "integer", "description": "Maximum number of members to extract from each community.", "default": 1000 }, "userPreviewConcurrency": { "title": "Concurrency", "type": "integer", "description": "How many user profile requests to fire simultaneously (1–50).", "default": 30 }, "minDelay": { "title": "Min Delay", "type": "number", "description": "Minimum delay before fetching a profile (seconds).", "default": 0.2 }, "maxDelay": { "title": "Max Delay", "type": "number", "description": "Maximum delay before fetching a profile (seconds).", "default": 1 }, "locationFilterDropdown": { "title": "Location (Region/Country/State)", "enum": [ "", " --- REGIONS --- ", "EMEA", "APAC", "LATAM", "Middle East", "Southeast Asia", "Scandinavia", "DACH", "Benelux", "North America", "South America", "Europe", "Asia", "Africa", "Oceania", "Balkans", "Nordic", "Mediterranean", "Caribbean", "Central America", "South Asia", "East Asia", "West Africa", "East Africa", "Horn of Africa", "Maghreb", "Levant", "Indian Subcontinent", "Great Lakes (Africa)", "Sahel", "South Pacific", "GCC", "Central Asia", "Southern Africa", " --- COUNTRIES (A-Z) --- ", "Afghanistan", "Albania", "Algeria", "Andorra", "Angola", "Antigua and Barbuda", "Argentina", "Armenia", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bhutan", "Bolivia", "Bosnia and Herzegovina", "Botswana", "Brazil", "Brunei", "Bulgaria", "Burkina Faso", "Burundi", "Cabo Verde", "Cambodia", "Cameroon", "Canada", "Central African Republic", "Chad", "Chile", "China", "Colombia", "Comoros", "Congo", "Costa Rica", "CΓ΄te d'Ivoire", "Croatia", "Cuba", "Cyprus", "Czechia", "Denmark", "Djibouti", "Dominica", "Dominican Republic", "DR Congo", "DRC", "East Timor", "Ecuador", "Egypt", "El Salvador", "Equatorial Guinea", "Eritrea", "Estonia", "Eswatini", "Ethiopia", "Fiji", "Finland", "France", "Gabon", "Gambia", "Georgia (Country)", "Germany", "Ghana", "Greece", "Grenada", "Guatemala", "Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Honduras", "Hungary", "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Israel", "Italy", "Ivory Coast", "Jamaica", "Japan", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "KSA", "Kuwait", "Kyrgyzstan", "Laos", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libya", "Liechtenstein", "Lithuania", "Luxembourg", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Marshall Islands", "Mauritania", "Mauritius", "Mexico", "Micronesia", "Moldova", "Monaco", "Mongolia", "Montenegro", "Morocco", "Mozambique", "Myanmar", "Namibia", "Nauru", "Nepal", "Netherlands", "New Zealand", "Nicaragua", "Niger", "Nigeria", "Norway", "Oman", "Pakistan", "Palau", "Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines", "Poland", "Portugal", "Qatar", "Romania", "Russia", "Rwanda", "Saint Kitts and Nevis", "Saint Lucia", "Saint Vincent and the Grenadines", "Samoa", "San Marino", "Sao Tome and Principe", "Saudi Arabia", "Senegal", "Serbia", "Seychelles", "Sierra Leone", "Singapore", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", "South Africa", "South Sudan", "Spain", "Sri Lanka", "Sudan", "Suriname", "Sweden", "Switzerland", "Syria", "Taiwan", "Tajikistan", "Tanzania", "Thailand", "Togo", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan", "Tuvalu", "Uganda", "Ukraine", "United Arab Emirates", "UAE", "United Kingdom", "UK", "United States", "USA", "US", "Uruguay", "Uzbekistan", "Vanuatu", "Vatican City", "Venezuela", "Vietnam", "Yemen", "Zambia", "Zimbabwe", " --- US STATES --- ", "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York State", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington State", "West Virginia", "Wisconsin", "Wyoming", " --- MAJOR CITIES & BUSINESS HUBS --- ", "New York City", "NYC", "Los Angeles", "LA", "Chicago", "Houston", "Phoenix", "Philadelphia", "San Antonio", "San Diego", "Dallas", "Austin", "San Jose", "San Francisco", "SF", "Seattle", "Denver", "Washington DC", "DC", "Boston", "Miami", "Atlanta", "Las Vegas", "London", "Manchester", "Birmingham", "Edinburgh", "Glasgow", "Paris", "Lyon", "Marseille", "Berlin", "Munich", "Hamburg", "Frankfurt", "Dubai", "Abu Dhabi", "Riyadh", "Doha", "Singapore City", "Sydney", "Melbourne", "Brisbane", "Perth", "Mumbai", "Bombay", "Delhi", "New Delhi", "Bangalore", "Bengaluru", "Hyderabad", "Chennai", "Kolkata", "Calcutta", "Toronto", "Vancouver", "Montreal", "Amsterdam", "Rotterdam", "Madrid", "Barcelona", "Rome", "Milan", "Zurich", "Geneva", "Vienna", "Brussels", "Stockholm", "Oslo", "Copenhagen", "Helsinki", "Lisbon", "Warsaw", "Prague", "Budapest", "Athens", "Istanbul", "Moscow", "Kyiv", "Tel Aviv", "Tokyo", "Osaka", "Seoul", "Bangkok", "Jakarta", "Kuala Lumpur", "KL", "Manila", "Ho Chi Minh City", "Auckland", "Johannesburg", "Cape Town", "Nairobi", "Cairo", "Mexico City", "CDMX", "Sao Paulo", "Rio de Janeiro", "Buenos Aires", "Bogota", "Santiago", "Lima", "Silicon Valley", "Wall Street", "The City (London)", "Canary Wharf", "DIFC", "GIFT City", "Bangalore IT Corridor" ], "type": "string", "description": "Primary location to include.", "default": "" }, "locationFilterCity": { "title": "City", "type": "array", "description": "Add specific cities to include.", "items": { "type": "string" }, "default": [] }, "excludeLocationFilterDropdown": { "title": "Location (Region/Country/State)", "enum": [ "", " --- REGIONS --- ", "EMEA", "APAC", "LATAM", "Middle East", "Southeast Asia", "Scandinavia", "DACH", "Benelux", "North America", "South America", "Europe", "Asia", "Africa", "Oceania", "Balkans", "Nordic", "Mediterranean", "Caribbean", "Central America", "South Asia", "East Asia", "West Africa", "East Africa", "Horn of Africa", "Maghreb", "Levant", "Indian Subcontinent", "Great Lakes (Africa)", "Sahel", "South Pacific", "GCC", "Central Asia", "Southern Africa", " --- COUNTRIES (A-Z) --- ", "Afghanistan", "Albania", "Algeria", "Andorra", "Angola", "Antigua and Barbuda", "Argentina", "Armenia", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bhutan", "Bolivia", "Bosnia and Herzegovina", "Botswana", "Brazil", "Brunei", "Bulgaria", "Burkina Faso", "Burundi", "Cabo Verde", "Cambodia", "Cameroon", "Canada", "Central African Republic", "Chad", "Chile", "China", "Colombia", "Comoros", "Congo", "Costa Rica", "CΓ΄te d'Ivoire", "Croatia", "Cuba", "Cyprus", "Czechia", "Denmark", "Djibouti", "Dominica", "Dominican Republic", "DR Congo", "DRC", "East Timor", "Ecuador", "Egypt", "El Salvador", "Equatorial Guinea", "Eritrea", "Estonia", "Eswatini", "Ethiopia", "Fiji", "Finland", "France", "Gabon", "Gambia", "Georgia (Country)", "Germany", "Ghana", "Greece", "Grenada", "Guatemala", "Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Honduras", "Hungary", "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Israel", "Italy", "Ivory Coast", "Jamaica", "Japan", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "KSA", "Kuwait", "Kyrgyzstan", "Laos", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libya", "Liechtenstein", "Lithuania", "Luxembourg", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Marshall Islands", "Mauritania", "Mauritius", "Mexico", "Micronesia", "Moldova", "Monaco", "Mongolia", "Montenegro", "Morocco", "Mozambique", "Myanmar", "Namibia", "Nauru", "Nepal", "Netherlands", "New Zealand", "Nicaragua", "Niger", "Nigeria", "Norway", "Oman", "Pakistan", "Palau", "Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines", "Poland", "Portugal", "Qatar", "Romania", "Russia", "Rwanda", "Saint Kitts and Nevis", "Saint Lucia", "Saint Vincent and the Grenadines", "Samoa", "San Marino", "Sao Tome and Principe", "Saudi Arabia", "Senegal", "Serbia", "Seychelles", "Sierra Leone", "Singapore", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", "South Africa", "South Sudan", "Spain", "Sri Lanka", "Sudan", "Suriname", "Sweden", "Switzerland", "Syria", "Taiwan", "Tajikistan", "Tanzania", "Thailand", "Togo", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan", "Tuvalu", "Uganda", "Ukraine", "United Arab Emirates", "UAE", "United Kingdom", "UK", "United States", "USA", "US", "Uruguay", "Uzbekistan", "Vanuatu", "Vatican City", "Venezuela", "Vietnam", "Yemen", "Zambia", "Zimbabwe", " --- US STATES --- ", "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York State", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington State", "West Virginia", "Wisconsin", "Wyoming", " --- MAJOR CITIES & BUSINESS HUBS --- ", "New York City", "NYC", "Los Angeles", "LA", "Chicago", "Houston", "Phoenix", "Philadelphia", "San Antonio", "San Diego", "Dallas", "Austin", "San Jose", "San Francisco", "SF", "Seattle", "Denver", "Washington DC", "DC", "Boston", "Miami", "Atlanta", "Las Vegas", "London", "Manchester", "Birmingham", "Edinburgh", "Glasgow", "Paris", "Lyon", "Marseille", "Berlin", "Munich", "Hamburg", "Frankfurt", "Dubai", "Abu Dhabi", "Riyadh", "Doha", "Singapore City", "Sydney", "Melbourne", "Brisbane", "Perth", "Mumbai", "Bombay", "Delhi", "New Delhi", "Bangalore", "Bengaluru", "Hyderabad", "Chennai", "Kolkata", "Calcutta", "Toronto", "Vancouver", "Montreal", "Amsterdam", "Rotterdam", "Madrid", "Barcelona", "Rome", "Milan", "Zurich", "Geneva", "Vienna", "Brussels", "Stockholm", "Oslo", "Copenhagen", "Helsinki", "Lisbon", "Warsaw", "Prague", "Budapest", "Athens", "Istanbul", "Moscow", "Kyiv", "Tel Aviv", "Tokyo", "Osaka", "Seoul", "Bangkok", "Jakarta", "Kuala Lumpur", "KL", "Manila", "Ho Chi Minh City", "Auckland", "Johannesburg", "Cape Town", "Nairobi", "Cairo", "Mexico City", "CDMX", "Sao Paulo", "Rio de Janeiro", "Buenos Aires", "Bogota", "Santiago", "Lima", "Silicon Valley", "Wall Street", "The City (London)", "Canary Wharf", "DIFC", "GIFT City", "Bangalore IT Corridor" ], "type": "string", "description": "Primary location to exclude.", "default": "" }, "excludeLocationFilterCity": { "title": "City (Exclude)", "type": "array", "description": "Add specific cities to exclude.", "items": { "type": "string" }, "default": [] } } }, "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 } } } } } } } } } } ```