# Meetup.com City Events Scraper (`techforce.global/meetup-city-events-scraper`) Actor A fast and reliable scraper for meetup.com that extracts Event Name, Venue details, Price and much more. Provides clean, structured data with support for Markdown, pagination, and easy API integration for your applications. - **URL**: https://apify.com/techforce.global/meetup-city-events-scraper.md - **Developed by:** [Techforce](https://apify.com/techforce.global) (community) - **Categories:** Automation, Lead generation, Agents - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / actor start 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.com City Events Scraper Scrapes upcoming events from **[meetup.com](https://www.meetup.com)** for any city โ€” New York, London, Dubai, and beyond โ€” and returns structured, ready-to-use event data. > ๐Ÿ’ก Want to scrape multiple platforms at once? Check out the **[Universal Event Scraper](https://apify.com/techforce.global/universal-event-scraper)** โ€” it combines AllEvents, EventsEye, District, and Meetup into a single actor. --- ### โญ Features - Scrapes **event names, dates, venues, prices, and URLs** - Supports any city worldwide via **ISO country code + city name** - Handles Meetup's **heavy client-side rendering** with Playwright (headless Chromium) - Auto-scrolls and clicks **"Load more"** to collect up to your specified limit - Intercepts **GraphQL API responses** for richer, more reliable data - Exports results as **JSON**, **CSV**, **Excel**, or via API --- ### ๐Ÿ“ Example Use Cases - Build a **local community event calendar** - Track upcoming **tech meetups, workshops, or networking events** in your city - Feed meetup data into **CRMs, newsletters, or Slack bots** - Monitor events for **competitive intelligence or lead generation** --- ### ๐Ÿš€ How to Use 1. Open the Actor on Apify 2. Enter the **city name** and **country code** (e.g. `new-york` / `us`) 3. Set the **maximum number of events** to fetch 4. Click **Run** 5. Download or access your dataset in JSON, CSV, or Excel --- ### ๐Ÿงฉ Input Configuration | Field | Type | Required | Default | Description | | -------------- | ------- | -------- | ------------ | -------------------------------------------------- | | `location` | String | โœ”๏ธ Yes | โ€” | City name to scrape events for (e.g. `"new-york"`) | | `country_code` | String | โŒ No | `"in"` | 2-letter ISO country code (`in`, `us`, `gb`, etc.) | | `limit` | Integer | โŒ No | `20` | Max number of events to return (0 = no limit) | | `eventType` | String | โŒ No | `"inPerson"` | Event format: `"inPerson"` or `"online"` | #### Example Input ```json { "location": "new-york", "country_code": "us", "limit": 20, "eventType": "inPerson" } ```` **Country code examples:** `us` USA ยท `gb` UK ยท `in` India ยท `ae` UAE ยท `de` Germany ยท `au` Australia *** ### ๐Ÿ“ค Output Dataset Each record follows a standardised schema. Fields that are unavailable are returned as `"N/A"`. #### Output Schema | Field | Type | Description | | --------------- | ------ | ----------------------------------------------- | | `source` | String | Always `"meetup"` | | `title` | String | Event name | | `url` | String | Direct link to the Meetup event page | | `date` | String | ISO-8601 datetime when parseable, else raw text | | `city` | String | City the event is in | | `venue` | String | Venue name (`"N/A"` if unavailable) | | `price` | String | Ticket price, `"Free"`, or `"N/A"` | | `venue_address` | String | Full venue address (`"N/A"` if unavailable) | #### Example Output ```json { "source": "meetup", "title": "NYC Python Meetup โ€“ April 2026", "url": "https://www.meetup.com/nycpython/events/123456789/", "date": "2026-04-18T18:30:00+00:00", "city": "New York", "venue": "Civic Hall", "price": "Free", "venue_address": "124 East 14th Street, New York, NY 10003" } ``` *** ### ๐Ÿ”ง How It Works 1. Opens `meetup.com/find/?location={country}--{city}&source=EVENTS` with Playwright (headless Chromium) 2. Scrolls the listing page and auto-clicks **"Load more"** to collect up to `limit` events 3. Intercepts **GraphQL API responses** and parses `__NEXT_DATA__` for reliable structured data 4. Visits each event detail page to enrich missing venue, address, date, and price fields 5. Pushes each clean, normalised record to Apify's default dataset *** ### โš ๏ธ Notes - Meetup.com uses heavy client-side rendering; **Playwright is required** and used automatically. - **Price** is scraped from the event detail page. Returns `"Free"` if no price widget is found, or `"N/A"` if indeterminate. - **Date** is returned as ISO-8601 when parseable, otherwise as raw text from the page. - The `limit` field controls how many events are collected **per run**. Set to `0` for no limit. *** ### ๐Ÿ†˜ Support For issues, questions, or feature requests:\ **Email**: bhavin.shah@techforceglobal.com *** ### Made with โค๏ธ for the event discovery community #### [๐Ÿ“… Book a 15-min consultation](https://calendly.com/techforce-infotech-pvt-ltd/intro-meeting?month=2026-01) This Actor can be integrated into a fully automated **n8n workflow** โ€” no manual steps, just end-to-end automation. #### ๐ŸŒ Website: [techforceglobal.com](https://techforceglobal.com/) # Actor input Schema ## `city` (type: `string`): City name to search events in (e.g. Ahmedabad, Mumbai, Delhi) ## `country_code` (type: `string`): Select country ## `eventType` (type: `array`): Select event format(s) ## `limit` (type: `integer`): Maximum number of events to scrape (1โ€“100) ## Actor input object example ```json { "city": "Chicago", "country_code": "us", "eventType": [ "inPerson" ], "limit": 20 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("techforce.global/meetup-city-events-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("techforce.global/meetup-city-events-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call techforce.global/meetup-city-events-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techforce.global/meetup-city-events-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meetup.com City Events Scraper", "description": "A fast and reliable scraper for meetup.com that extracts Event Name, Venue details, Price and much more. Provides clean, structured data with support for Markdown, pagination, and easy API integration for your applications.", "version": "0.1", "x-build-id": "tWBIVFX4RbtC6eYUr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techforce.global~meetup-city-events-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techforce.global-meetup-city-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techforce.global~meetup-city-events-scraper/runs": { "post": { "operationId": "runs-sync-techforce.global-meetup-city-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techforce.global~meetup-city-events-scraper/run-sync": { "post": { "operationId": "run-sync-techforce.global-meetup-city-events-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "city" ], "properties": { "city": { "title": "City", "type": "string", "description": "City name to search events in (e.g. Ahmedabad, Mumbai, Delhi)", "default": "Chicago" }, "country_code": { "title": "Country", "enum": [ "in", "us", "gb", "ca", "au", "de", "fr", "it", "es", "nl", "sg", "ae", "br", "za", "jp", "cn", "ru", "mx", "id", "tr", "sa", "kr", "se", "ch", "ar", "be", "dk", "fi", "no", "pl", "pt", "nz", "ie", "th", "my", "ph", "eg", "ng", "pk", "bd", "vn", "cz", "hu", "gr", "il", "at", "ro", "sk", "ua", "cl", "co", "pe", "hk", "tw" ], "type": "string", "description": "Select country", "default": "us" }, "eventType": { "title": "Event Type", "uniqueItems": true, "type": "array", "description": "Select event format(s)", "items": { "type": "string", "enum": [ "inPerson", "online" ], "enumTitles": [ "In-Person", "Online" ] }, "default": [ "inPerson" ] }, "limit": { "title": "Max Events", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of events to scrape (1โ€“100)", "default": 20 } } }, "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 } } } } } } } } } } ```