# Free Resident Advisor Events Scraper (`alirezaeidgah/free-resident-advisor-events-scraper`) Actor Scrape Resident Advisor events by location into a structured dataset. - **URL**: https://apify.com/alirezaeidgah/free-resident-advisor-events-scraper.md - **Developed by:** [Alireza Eidgah](https://apify.com/alirezaeidgah) (community) - **Categories:** Automation, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Resident Advisor Events Scraper Apify Actor that scrapes Resident Advisor event listings from RA GraphQL and pushes normalized events into the default dataset. ### Input - `country`: country code or name - `state`: state, region, or province - `city`: city or metro area - `maxEvents`: maximum number of events to collect - `maxPages`: maximum number of listing pages to scan - `url`: optional custom RA listing URL - `proxyUrl`: optional HTTP or HTTPS proxy URL ### Output Each event is pushed as one dataset item with fields: - `city` - `name` - `description` - `cover_image` - `start_at` - `end_at` - `timezone` - `location` - `venue_name` - `latitude` - `longitude` - `price` - `currency` - `is_free` - `organizer` - `url` - `category` ### Local run Install dependencies, then run the Actor from the `ra-actor` directory: ```bash python -m pip install -r requirements.txt python -m src ```` # Actor input Schema ## `country` (type: `string`): Country name or code. ## `state` (type: `string`): State, region, or province. Leave blank if not needed. ## `city` (type: `string`): City or metro area to search in. ## `maxEvents` (type: `integer`): Maximum number of events to collect. ## `maxPages` (type: `integer`): Maximum number of listing pages to scan. ## `url` (type: `string`): Optional custom RA listing URL. If set, this overrides the generated location search. ## `proxyUrl` (type: `string`): Optional HTTP/HTTPS proxy URL. ## Actor input object example ```json { "country": "us", "state": "california", "city": "san francisco", "maxEvents": 150, "maxPages": 8, "url": "", "proxyUrl": "" } ``` # Actor output Schema ## `results` (type: `string`): Normalized Resident Advisor events stored in the default dataset. ## `summary` (type: `string`): Run summary stored in the default key-value store. # 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 = { "country": "us", "state": "california", "city": "san francisco", "url": "", "proxyUrl": "" }; // Run the Actor and wait for it to finish const run = await client.actor("alirezaeidgah/free-resident-advisor-events-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 = { "country": "us", "state": "california", "city": "san francisco", "url": "", "proxyUrl": "", } # Run the Actor and wait for it to finish run = client.actor("alirezaeidgah/free-resident-advisor-events-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 '{ "country": "us", "state": "california", "city": "san francisco", "url": "", "proxyUrl": "" }' | apify call alirezaeidgah/free-resident-advisor-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=alirezaeidgah/free-resident-advisor-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Free Resident Advisor Events Scraper", "description": "Scrape Resident Advisor events by location into a structured dataset.", "version": "0.1", "x-build-id": "uRrYMurvps1lEQbyn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/alirezaeidgah~free-resident-advisor-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-alirezaeidgah-free-resident-advisor-events-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/alirezaeidgah~free-resident-advisor-events-scraper/runs": { "post": { "operationId": "runs-sync-alirezaeidgah-free-resident-advisor-events-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/alirezaeidgah~free-resident-advisor-events-scraper/run-sync": { "post": { "operationId": "run-sync-alirezaeidgah-free-resident-advisor-events-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": [ "country", "city", "maxEvents", "maxPages" ], "properties": { "country": { "title": "Country", "type": "string", "description": "Country name or code.", "default": "us" }, "state": { "title": "State", "type": "string", "description": "State, region, or province. Leave blank if not needed.", "default": "california" }, "city": { "title": "City", "type": "string", "description": "City or metro area to search in.", "default": "san francisco" }, "maxEvents": { "title": "Maximum events", "minimum": 1, "type": "integer", "description": "Maximum number of events to collect.", "default": 150 }, "maxPages": { "title": "Maximum pages", "minimum": 1, "type": "integer", "description": "Maximum number of listing pages to scan.", "default": 8 }, "url": { "title": "Custom RA URL", "type": "string", "description": "Optional custom RA listing URL. If set, this overrides the generated location search.", "default": "" }, "proxyUrl": { "title": "Proxy URL", "type": "string", "description": "Optional HTTP/HTTPS proxy URL.", "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 } } } } } } } } } } ```