Meetup Event Scraper Meetup Event Scraper is a powerful and easy-to-use tool that allows you to extract event details from Meetup.com based on customizable input settings. Ideal for market analysis, event planning, and trend tracking. ## Included features - Comprehensive Data Extraction: Scrape event names, descriptions, types, dates, addresses, attendees, pricing, and more. - Price/Fee Information: Extract event pricing details including fee amount, currency, and whether payment is required. - Efficient Data Gathering: Collects data efficiently for use in analysis and reporting. - Online and In-Person Event Support: Differentiates between online and in-person events, ensuring accurate data. - Event Logging: Logs each successfully retrieved event by its unique event ID. ## How it works 1. Create a Free Apify Account: Sign up at Apify. 2. Open Meetup Scraper: Access the scraper from your Apify console. 3. Input Settings: Customize the input settings to specify the location and search criteria. 4. Run the Scraper: Start the scraper and wait for the data extraction to complete. 5. Download Data: Export the data in JSON, CSV, Excel, or other formats from the dataset. ## Input The input for Meetup Event Scraper includes the search keyword, location (city, state, and country), maximum results, and optional date range. ### Input Fields | Field | Type | Required | Description | |-------|------|----------|-------------| | searchKeyword | string | No | Keyword to search for events (default: "javascript") | | city | string | Yes | City to search for events | | state | string | No | State (required for US and Canada) | | country | string | Yes | Country code (2-letter, e.g., us, ca, uk) | | maxResults | integer | Yes | Maximum number of events to scrape | | startDateRange | string | No | Start date for events (ISO 8601 format) | ### Example Input json { "searchKeyword": "javascript", "city": "san francisco", "state": "ca", "country": "us", "maxResults": 10, "startDateRange": "2024-09-06T00:00:00Z" } ## Output The results will be stored in a dataset which you can access and download from the Storage tab. Each event will be logged with its unique event ID upon successful retrieval. ### Output Fields | Field | Type | Description | |-------|------|-------------| | eventId | string | Unique event identifier | | eventName | string | Event title | | eventDescription | string | Event details | | eventType | string | ONLINE or PHYSICAL | | date | string | Event start date/time (ISO 8601) | | address | string | Venue address or "Online event" | | eventUrl | string | URL to event page | | organizedByGroup | string | Organizing group name | | groupUrlname | string | Group's URL name | | maxAttendees | integer | Maximum ticket/attendee count | | actualAttendees | integer | Current RSVP count | | isPaidEvent | boolean | Whether event has a fee | | feeAmount | number | Price amount for the event | | feeCurrency | string | Currency code (USD, EUR, etc.) | | feeRequired | boolean | Whether fee payment is required | ### Example Output json { "eventId": "302796934", "eventName": "Unit Testing JavaScript & Node.js", "eventDescription": "Learn how to test JavaScript code using modern testing frameworks.", "eventType": "ONLINE", "date": "2024-09-21T19:00:00-04:00", "address": "Online event", "eventUrl": "https://www.meetup.com/new-york-software-school/events/302796934/", "organizedByGroup": "New York Software School", "groupUrlname": "new-york-software-school", "maxAttendees": 70, "actualAttendees": 10, "isPaidEvent": false, "feeAmount": null, "feeCurrency": null, "feeRequired": null } ## Use Cases - Market Analysis: Understand trends and popular topics in your industry. - Event Planning: Identify key events and gather insights on potential speakers and attendees. - Trend Tracking: Keep track of new and recurring events to stay ahead of industry trends. - Price Comparison: Compare event pricing across different organizers and locations. ## Integrations You can integrate the Meetup Scraper with other tools and services using webhooks, APIs, or integration platforms like Zapier and Make. This allows you to automate workflows and streamline your data analysis processes.