# Universal Event Scraper (`techforce.global/universal-event-scraper`) Actor The Universal Event Scraper is an Apify Actor that combines four specialized scrapers into a single run. Allevents.in Eventseye.com District.in Meetup.com. It automatically handles dynamic content and produces clean structured data that can be exported or integrated into other systems. - **URL**: https://apify.com/techforce.global/universal-event-scraper.md - **Developed by:** [Techforce](https://apify.com/techforce.global) (community) - **Categories:** Automation, Developer tools, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Universal Event Scraper The **Universal Event Scraper** is an Apify Actor that combines four specialised scrapers into a single run.
Platform Type Individual Actor
AllEvents.in General events AllEvents Scraper
EventsEye.com Trade shows & exhibitions EventsEye Scraper
District.in Ticketed events District Scraper
Meetup.com Community meetups Coming soon
> 💡 Want to scrape just one platform? Click the individual actor link in the table above. It automatically handles dynamic content, pagination, and lazy loading, and produces clean structured data that can be exported or integrated into other systems. --- ### ⭐ Features - Scrapes **event names, dates, venues, prices, URLs**, and more - Supports **four sources** in one actor: general events, trade shows, ticketed events, and community meetups - All sources produce a **standardised output schema** — one consistent record format regardless of platform - Exports results as **JSON**, **CSV**, **Excel**, or via API - Designed to run efficiently on Apify Cloud with automatic retries and error handling --- ### 📝 Example Use Cases - Build your own **event directory** or **aggregator** - Monitor upcoming events in a specific city or industry - Feed events into calendars, CRMs, dashboards, or apps - Collect leads by scraping webinars, conferences, trade shows, or workshops --- ### 🚀 How to Use 1. Open the Actor on Apify 2. Select one or more **sources** (`allevents`, `eventseye`, `district`, `meetup`) 3. Enter the **city/location** whose events are to be fetched 4. Set the **maximum number of events** to fetch per source 5. Click **Run** 6. Download or access your dataset in JSON, CSV, or Excel --- ### 🧩 Input Configuration | Field | Type | Required | Description | | ---------- | ------- | -------- | --------------------------------------------------------------------------- | | `source` | Array | ✔️ Yes | One or more sources: `"allevents"`, `"eventseye"`, `"district"`, `"meetup"` | | `location` | String | ✔️ Yes | City name used by all scrapers (e.g. `"chicago"`) | | `limit` | Integer | ❌ No | Max events per source. Default `50`, minimum `0`, maximum `100` | #### Example Input ```json { "source": ["allevents", "eventseye", "district", "meetup"], "location": "chicago", "limit": 50 } ```` *** ### 📤 Output Dataset All four sources produce records in the **same standardised schema**. The `source` field tells you which platform each record came from. Fields that are unavailable for a given source are returned as `"N/A"`. #### Output Schema | Field | Type | Description | | --------------- | ------ | ------------------------------------------- | | `source` | String | Platform the event was scraped from | | `title` | String | Event name | | `url` | String | Direct link to the event page | | `date` | String | Event date/time (format varies by source) | | `city` | String | City the event is in | | `venue` | String | Venue name (`"N/A"` if unavailable) | | `price` | String | Ticket price or `"Free"` / `"N/A"` | | `venue_address` | String | Full venue address (`"N/A"` if unavailable) | #### allevents.in ```json { "source": "allevents", "title": "Chicago Jazz Festival 2025", "url": "https://allevents.in/chicago/chicago-jazz-festival/2600029621208446", "date": "Fri, 29 Aug, 2025 - 06:00 PM", "city": "Chicago", "venue": "Millennium Park", "price": "N/A", "venue_address": "N/A" } ``` #### eventseye.com ```json { "source": "eventseye", "title": "International Manufacturing Technology Show", "url": "https://www.eventseye.com/fairs/f-imts-1234.html", "date": "13 - 18 Sep 2026", "city": "Chicago", "venue": "McCormick Place", "price": "N/A", "venue_address": "2301 S Lake Shore Dr, Chicago, IL 60616" } ``` #### district.in ```json { "source": "district", "title": "Lollapalooza Chicago 2025", "url": "https://www.district.in/events/lollapalooza-chicago-2025", "date": "2025-07-31T12:00:00", "city": "Chicago", "venue": "Grant Park", "price": "USD149", "venue_address": "N/A" } ``` #### meetup.com ```json { "source": "meetup", "title": "Chicago Python User Group — Monthly Meetup", "url": "https://www.meetup.com/chipy/events/305123456", "date": "2025-08-14T18:30:00+00:00", "city": "Chicago", "venue": "Braintree", "price": "Free", "venue_address": "222 W Merchandise Mart Plaza, Chicago, IL" } ``` > **Note:** `limit` applies **per source**. With `limit: 50` and four sources selected, you get up to **200 total** records. *** ### 🆘 Support For issues, questions, or feature requests:\ **Email**: bhavin.shah@techforceglobal.com *** ### Made with ❤️ for the event discovery community #### [📅 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 — no manual steps, just end-to-end automation. #### 🌐 Website: [techforceglobal.com](https://techforceglobal.com/) # Actor input Schema ## `source` (type: `array`): Select one or more event sources to scrape ## `location` (type: `string`): City name used by all scrapers (e.g. ahmedabad, mumbai, berlin). ## `limit` (type: `integer`): Max events per source for all scrapers. Set to 0 for no limit. ## Actor input object example ```json { "source": [ "eventseye" ], "location": "Dubai", "limit": 50 } ``` # 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/universal-event-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 = {} # Run the Actor and wait for it to finish run = client.actor("techforce.global/universal-event-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 '{}' | apify call techforce.global/universal-event-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techforce.global/universal-event-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Universal Event Scraper", "description": "The Universal Event Scraper is an Apify Actor that combines four specialized scrapers into a single run.\nAllevents.in\nEventseye.com\nDistrict.in\nMeetup.com.\nIt automatically handles dynamic content and produces clean structured data that can be exported or integrated into other systems.", "version": "1.0", "x-build-id": "gbxfrG0G14g0dlbNd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techforce.global~universal-event-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techforce.global-universal-event-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~universal-event-scraper/runs": { "post": { "operationId": "runs-sync-techforce.global-universal-event-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~universal-event-scraper/run-sync": { "post": { "operationId": "run-sync-techforce.global-universal-event-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": [ "source" ], "properties": { "source": { "title": "Source", "type": "array", "description": "Select one or more event sources to scrape", "items": { "type": "string", "enum": [ "allevents", "eventseye", "district", "meetup" ], "enumTitles": [ "AllEvents.in", "EventsEye.com (Trade Shows)", "District.in", "Meetup.com" ] }, "default": [ "eventseye" ] }, "location": { "title": "Location", "type": "string", "description": "City name used by all scrapers (e.g. ahmedabad, mumbai, berlin).", "default": "Dubai" }, "limit": { "title": "Max Events (Per Source)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Max events per source for all scrapers. Set to 0 for no limit.", "default": 50 } } }, "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 } } } } } } } } } } ```