# Meetup Events Scraper — Extract Event Data with JSON-LD (`klondikeking/meetup-events-scraper`) Actor Scrape Meetup events with structured data extraction using Schema.org JSON-LD. Extract event names, descriptions, dates, locations, and organizer details from any Meetup search or group page. - **URL**: https://apify.com/klondikeking/meetup-events-scraper.md - **Developed by:** [Pierrick McD0nald](https://apify.com/klondikeking) (community) - **Categories:** Business, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 event scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Meetup Events Scraper — Extract Event Data with JSON-LD Scrape Meetup events with structured data extraction using Schema.org JSON-LD. This Actor extracts event names, descriptions, dates, locations, and organizer details from any Meetup search page or group page. Perfect for event aggregation, market research, community analysis, and local business intelligence. ### Use Cases - **Event Aggregation** — Build event calendars by scraping multiple cities or topics - **Market Research** — Analyze event trends, frequency, and organizer activity in a niche - **Community Analysis** — Discover active groups and their event schedules - **Local Business Intelligence** — Monitor competitor or partner events in your area ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `startUrls` | Array | Yes | Meetup URLs to scrape. Supports search pages and group pages. | | `maxItems` | Number | No | Maximum events to extract (default: 100) | | `proxyConfiguration` | Object | No | Proxy configuration for scraping | #### Example Input ```json { "startUrls": [ { "url": "https://www.meetup.com/find/?location=us--ca--San%20Francisco&source=EVENTS" } ], "maxItems": 50 } ```` ### Output The Actor outputs a dataset with the following fields for each event: ```json { "name": "Weekly Chess Meetup in SF ♟️", "url": "https://www.meetup.com/chess-meetup/events/314289569/", "description": "Join us for a fun and social chess tournament...", "startDate": "2026-05-05T02:00:00.000Z", "endDate": "", "eventStatus": "https://schema.org/EventScheduled", "image": "/images/fallbacks/redesign/group-cover-1-square.webp", "eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode", "locationName": "", "locationAddress": "", "organizerName": "Chess Meetup in bars of San Francisco", "organizerUrl": "https://www.meetup.com/chess-meetup/", "sourceUrl": "https://www.meetup.com/find/?location=us--ca--San%20Francisco" } ``` ### Pricing Pay per event: **$0.002 per event scraped** (minimum charge $0.001 per run). ### Limitations - Events are extracted from JSON-LD structured data embedded in the HTML. If Meetup changes their markup, extraction may need updates. - Maximum 500 events per search page due to Meetup's pagination limits. - Some location fields may be empty if the organizer did not provide complete address details. ### FAQ **Q: Can I scrape private or members-only events?** A: No. This Actor only extracts publicly visible events from Meetup search and group pages. **Q: Do I need a proxy?** A: Proxy is recommended for production runs to avoid rate limiting. Apify proxy is enabled by default. **Q: What URLs can I use as start URLs?** A: Any Meetup search page (`/find/?location=...`) or group page (`/group-name/`). The Actor automatically extracts all events from JSON-LD data. ### Changelog - **v1.0.0** — Initial release with JSON-LD event extraction # Actor input Schema ## `startUrls` (type: `array`): Meetup URLs to scrape. Can be search pages (e.g. https://www.meetup.com/find/?location=us--ca--San%20Francisco) or group pages. ## `maxItems` (type: `integer`): Maximum number of events to extract. ## `proxyConfiguration` (type: `object`): Proxy settings for scraping. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.meetup.com/find/?location=us--ca--San%20Francisco&source=EVENTS" } ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `events` (type: `string`): Link to the dataset containing extracted Meetup events. ## `stats` (type: `string`): Link to the key-value store containing run statistics. # 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 = { "startUrls": [ { "url": "https://www.meetup.com/find/?location=us--ca--San%20Francisco&source=EVENTS" } ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("klondikeking/meetup-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 = { "startUrls": [{ "url": "https://www.meetup.com/find/?location=us--ca--San%20Francisco&source=EVENTS" }], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("klondikeking/meetup-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 '{ "startUrls": [ { "url": "https://www.meetup.com/find/?location=us--ca--San%20Francisco&source=EVENTS" } ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } }' | apify call klondikeking/meetup-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=klondikeking/meetup-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meetup Events Scraper — Extract Event Data with JSON-LD", "description": "Scrape Meetup events with structured data extraction using Schema.org JSON-LD. Extract event names, descriptions, dates, locations, and organizer details from any Meetup search or group page.", "version": "1.0", "x-build-id": "hfopP2UkaZbhPAiMy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/klondikeking~meetup-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-klondikeking-meetup-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/klondikeking~meetup-events-scraper/runs": { "post": { "operationId": "runs-sync-klondikeking-meetup-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/klondikeking~meetup-events-scraper/run-sync": { "post": { "operationId": "run-sync-klondikeking-meetup-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Meetup URLs to scrape. Can be search pages (e.g. https://www.meetup.com/find/?location=us--ca--San%20Francisco) or group pages.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum events", "type": "integer", "description": "Maximum number of events to extract.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for scraping." } } }, "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 } } } } } } } } } } ```