# Smart Event Scraper: Category, Date & Keyword Filter (`techforce.global/smart-event-scraper`) Actor Find every event that matters - Smart Event Scraper fetches events from 6 top platforms (Eventbrite, Meetup, AllEvents, District, EventsEye & ConferenceAlerts) into a single clean dataset. Filter by keyword, category, city, and date range to pull exactly the events you care about. - **URL**: https://apify.com/techforce.global/smart-event-scraper.md - **Developed by:** [Techforce Global](https://apify.com/techforce.global) (community) - **Categories:** Integrations, Travel, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### Smart Event Scraper: Category, Date Range & Keyword Filter The **Smart Event Scraper** by Techforce Global is the most advanced multi-platform event scraper on Apify. Search across **AllEvents.in**, **Eventbrite.com**, **Meetup.com**, **District.in**, **EventsEye.com**, and **ConferenceAlerts.co.in** in a single automated run — filtered by **event category**, **keyword**, **city or location**, and a precise **date range** (Date From / Date To). > 🔑 The only **event scraper with category filter** on Apify that > covers six platforms simultaneously with keyword search, date range > control, and per-source result limits in one run. --- ### ⭐ Why Smart Event Scraper | Feature | Smart Event Scraper | Other event scrapers on Apify | | -------------------------------- | --------------------------------------------------------------------------- | ----------------------------- | | Platforms covered | ✅ 6 — AllEvents, Eventbrite, Meetup, District, EventsEye, ConferenceAlerts | ❌ 1 platform per actor | | Category dropdown (6 categories) | ✅ Built-in | ❌ Not available | | Keyword search query | ✅ Free-text search | ⚠️ Limited | | Date From + Date To | ✅ Precise custom range | ⚠️ Basic or none | | Max events per source | ✅ Control each platform individually | ❌ Single global limit | | Standardised output schema | ✅ Same fields across all 6 platforms | ❌ Different per actor | | Pay per event | ✅ No monthly subscription | ⚠️ Varies | --- ### 🗂️ Event Category Filter — 6 Options The built-in category dropdown filters events across all six platforms with a single selection: | Category | What It Covers | | ------------------------- | ------------------------------------------------------------------------------------------------- | | **Tech & Software** | Developer conferences, hackathons, product launches, AI meetups, startup events, coding workshops | | **Business & Networking** | Networking events, entrepreneur meetups, B2B summits, investor conferences, startup pitch events | | **Food & Beverages** | Food festivals, culinary workshops, wine tastings, restaurant pop-ups, cooking classes | | **Health & Wellness** | Yoga classes, fitness events, mental health workshops, wellness retreats, meditation sessions | | **Art & Culture** | Exhibitions, gallery openings, theatre shows, live music, film screenings, street art events | | **Education & Learning** | Workshops, webinars, training sessions, certification courses, seminars, study groups | > 💡 Select **Any — All Event Types** to pull all event types from all > six platforms in a single run. --- ### ⚙️ Input Configuration | Field | Type | Required | Default | Description | | -------------- | ------------ | -------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `search_query` | String | ❌ No | `""` | Free-text keyword — filters events by title and venue match (e.g. `"AI conference"`, `"yoga workshop"`, `"food festival"`) | | `category` | Select | ✅ Yes | `any` | Event type — one of `any`, `technology`, `business`, `food`, `health`, `arts`, `education`. Use `any` to pull all event types. | | `sources` | Multi-select | ❌ No | all 6 | Platforms to scrape — `allevents`, `eventbrite`, `meetup`, `district`, `eventseye`, `conferencealerts`. Pick a subset for faster, focused runs. (District covers Indian cities only and is auto-skipped elsewhere.) | | `location` | String | ✅ Yes | `New York` | City name used by all scrapers — e.g. `London`, `New York`, `Bengaluru`, `Mumbai`, `Dubai`, `Toronto` | | `limit` | Integer | ❌ No | `10` | Max events per source (0–100). Set to `0` for no limit. | | `date_from` | String | ❌ No | `""` | Filter events on or after this date — format `YYYY-MM-DD` (e.g. `2026-06-14`) | | `date_to` | String | ❌ No | `""` | Filter events on or before this date — format `YYYY-MM-DD` (e.g. `2026-06-30`) | > 💡 **`category` and `location` are required**, but both ship with > sensible defaults (`any` and `New York`), so you can run immediately. > Add `search_query` to keyword-filter, `sources` to limit platforms, and > `date_from` + `date_to` to scope to a specific window. #### 📌 Example — Tech Events in London This Month ```json { "search_query": "developer conference", "category": "technology", "location": "London", "limit": 50, "date_from": "2026-06-14", "date_to": "2026-06-30" } ```` #### 📌 Example — Business Networking in New York, Next 2 Weeks ```json { "category": "business", "location": "New York", "limit": 30, "date_from": "2026-06-14", "date_to": "2026-06-28" } ``` #### 📌 Example — All Food Events in Mumbai, No Date Limit ```json { "category": "food", "location": "Mumbai" } ``` #### 📌 Example — Wellness Events in London, Next Month ```json { "search_query": "yoga retreat", "category": "health", "location": "London", "date_from": "2026-07-01", "date_to": "2026-07-31" } ``` *** ### 📦 Output — Standardised Schema Across All 6 Platforms Every event record returns the **same fields regardless of source platform**. No custom parsing per platform — the same spreadsheet column, database table, or n8n node works identically for AllEvents, Eventbrite, Meetup, District, EventsEye, and ConferenceAlerts results in the same dataset. | Field | Description | | ------------- | ---------------------------------------------------- | | `title` | Full event name | | `date` | Event date string | | `location` | City and/or full venue address | | `venue` | Venue name | | `price` | Ticket price or `Free`. Returns `N/A` if unavailable | | `url` | Direct event page link | | `category` | Event category — from the filter or auto-detected | | `source` | Which platform this record was scraped from | | `description` | Event description (where available) | > **Missing values always return as `"N/A"`** — never null or undefined. > Safe to import directly into any spreadsheet or database without > conditional null handling. #### 📌 Example Output Record ```json { "title": "London Tech Summit 2026", "date": "19 Jun 2026", "location": "London, UK", "venue": "Tobacco Dock, London", "price": "£149", "url": "https://www.allevents.in/london/london-tech-summit-2026", "category": "Tech & Software", "source": "allevents.in", "description": "Two-day summit covering AI, Web3, and developer tooling." } ``` *** ### 🎯 Use Cases #### Event Discovery & Aggregation Platforms Pull **multi-platform event data** with a single run filtered by category and date range. Build a fully automated event calendar or discovery feed without managing four separate scrapers or combining outputs manually. #### Tech Event Intelligence for Developer Relations Teams Use the **Tech & Software category** to track every developer conference, hackathon, product launch, and AI meetup happening in your target city across all six platforms simultaneously. Set a weekly schedule and push results to Slack or Notion automatically. #### Business Development & Networking Prospecting Filter by **Business & Networking** to find every startup meetup, investor event, and B2B conference in your region within a custom date range. Export to CRM for speaker outreach, sponsorship pitches, or attendee prospecting via n8n. #### Health & Wellness Platform Data Aggregate yoga classes, fitness workshops, and wellness retreats across AllEvents, Meetup, and District for health app platforms, wellness brands, and lifestyle marketing campaigns. #### Food & Beverage Event Marketing Track food festivals, culinary workshops, and restaurant pop-ups by city and date range. Essential for food brands, hospitality marketers, and event organisers doing competitor and collaboration research. #### Education & Learning Platform Building Pull workshops, webinars, seminars, and certification events filtered by **Education & Learning** category with a specific date range. Ideal for learning management systems, corporate training platforms, and educational app builders. #### Weekly Automated Event Digest Schedule a weekly run filtered by category, city, and the coming 7-day date range. Push results to Google Sheets, a Slack channel, or a newsletter platform via n8n or Zapier — zero manual browsing required. #### Event Sponsorship Research & Lead Generation Find every event in your industry vertical across six platforms. Organiser contact details and direct event URLs provide a clean foundation for targeted sponsorship outreach campaigns. *** ### 🔌 Platforms Covered | Platform | What It Covers | Region | | -------------------------- | -------------------------------------------------------------------------- | -------------- | | **AllEvents.in** | Concerts, conferences, meetups, workshops, community events | Global | | **Eventbrite.com** | Ticketed events, conferences, workshops, classes — with live ticket prices | Global | | **EventsEye.com** | Trade shows, exhibitions, B2B conferences, industry fairs | 140+ countries | | **District.in** | Curated ticketed experiences — concerts, food events, social gatherings | India | | **Meetup.com** | Community groups, professional meetups, hobby events, networking | Global | | **ConferenceAlerts.co.in** | Academic & professional conferences, seminars, symposiums by topic | Global | *** ### 🔗 Integrations Connect to any workflow via the Apify API or native integrations: - **n8n** — Schedule weekly runs → filter by category and date → push events to Google Sheets, Airtable, Notion, or Slack - **Zapier** — Native Apify integration available natively - **Make (Integromat)** — Full Apify module available - **Google Sheets** — Direct CSV export or API-driven pipeline - **HubSpot / Salesforce** — Import CSV or connect via n8n or Zapier *Wire the Smart Event Scraper into a fully automated weekly event intelligence pipeline — category filtered, date scoped, zero manual steps required.* *** ### 💡 Need Just One Platform? Use the dedicated single-platform actors from Techforce Global: - [AllEvents Scraper](https://apify.com/techforce.global/all-events-scraper) — AllEvents.in events by city - [District Event Scraper](https://apify.com/techforce.global/district-event) — District.in with infinite scroll handling - [Events Eye Scraper](https://apify.com/techforce.global/events-eye-scraper) — Trade shows + exhibitions from EventsEye.com - [Meetup City Events Scraper](https://apify.com/techforce.global/meetup-city-events-scraper) — Meetup.com events by city - [Universal Event Scraper](https://apify.com/techforce.global/universal-event-scraper) — Original 4-in-1 multi-platform actor *** ### 💰 Pricing **Pay per event. No monthly subscription.** You pay only for the events you extract. No recurring commitment, no minimum runs, no lock-in. *** ### 🆘 Support For issues, questions, or feature requests: **Email**: bhavin.shah@techforceglobal.com #### Made with ❤️ for the Data Extraction community #### [📅 Book a 15-min consultation](https://calendly.com/techforce-infotech-pvt-ltd/intro-meeting) #### 🌐 Website: https://techforceglobal.com/apify-actors/ *** ### 🔗 You Might Also Like - [Quince.com Product Scraper](https://apify.com/techforce.global/quince-scraper) — DTC pricing intelligence with auto-calculated discount % - [DesignRush Outreach Bot](https://apify.com/techforce.global/design-rush--outreach-bot) — Agency profiles + automatic contact form submission - [Website Contact Scraper](https://apify.com/techforce.global/website-contact-scraper-emails-phone-numbers-social-links) — Emails, phone numbers & social links from any website - [Google Maps Scraper](https://apify.com/techforce.global/google-maps-scraper) — Business data, ratings & contacts by location # Actor input Schema ## `search_query` (type: `string`): Optional keyword search passed to native search bars (e.g. 'AI workshop', 'React meetup'). Falls back to client-side filtering for sources that don't support native search. ## `category` (type: `string`): The event category to scrape. Choose 'Any' to pull all event types (fastest — runs each source once with no category filter). ## `sources` (type: `array`): Which event platforms to scrape. Leave all selected to search everywhere; pick a subset for faster, more focused runs. Note: District covers Indian cities only — it is automatically skipped for non-Indian locations. ## `location` (type: `string`): City name used by all scrapers (e.g. New York, Chicago, London). ## `limit` (type: `integer`): Max events to return. Set to 0 for no limit. ## `date_from` (type: `string`): Filter events on or after this date. ## `date_to` (type: `string`): Filter events on or before this date. ## Actor input object example ```json { "search_query": "", "category": "any", "sources": [ "allevents", "eventbrite", "meetup", "district", "eventseye", "conferencealerts" ], "location": "New York", "limit": 10, "date_from": "", "date_to": "" } ``` # 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 = { "sources": [ "allevents", "eventbrite", "meetup", "district", "eventseye", "conferencealerts" ] }; // Run the Actor and wait for it to finish const run = await client.actor("techforce.global/smart-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 = { "sources": [ "allevents", "eventbrite", "meetup", "district", "eventseye", "conferencealerts", ] } # Run the Actor and wait for it to finish run = client.actor("techforce.global/smart-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 '{ "sources": [ "allevents", "eventbrite", "meetup", "district", "eventseye", "conferencealerts" ] }' | apify call techforce.global/smart-event-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techforce.global/smart-event-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Smart Event Scraper: Category, Date & Keyword Filter", "description": "Find every event that matters - Smart Event Scraper fetches events from 6 top platforms (Eventbrite, Meetup, AllEvents, District, EventsEye & ConferenceAlerts) into a single clean dataset. Filter by keyword, category, city, and date range to pull exactly the events you care about.", "version": "0.0", "x-build-id": "TWwWgaP9wEyeyQxPc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techforce.global~smart-event-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techforce.global-smart-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techforce.global~smart-event-scraper/runs": { "post": { "operationId": "runs-sync-techforce.global-smart-event-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techforce.global~smart-event-scraper/run-sync": { "post": { "operationId": "run-sync-techforce.global-smart-event-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "category", "location" ], "properties": { "search_query": { "title": "Search Query", "type": "string", "description": "Optional keyword search passed to native search bars (e.g. 'AI workshop', 'React meetup'). Falls back to client-side filtering for sources that don't support native search.", "default": "" }, "category": { "title": "Category", "enum": [ "any", "technology", "business", "food", "health", "arts", "education" ], "type": "string", "description": "The event category to scrape. Choose 'Any' to pull all event types (fastest — runs each source once with no category filter).", "default": "any" }, "sources": { "title": "Sources", "type": "array", "description": "Which event platforms to scrape. Leave all selected to search everywhere; pick a subset for faster, more focused runs. Note: District covers Indian cities only — it is automatically skipped for non-Indian locations.", "items": { "type": "string", "enum": [ "allevents", "eventbrite", "meetup", "district", "eventseye", "conferencealerts" ], "enumTitles": [ "AllEvents", "Eventbrite", "Meetup", "District (India only)", "EventsEye (Trade Shows)", "ConferenceAlerts" ] }, "default": [ "allevents", "eventbrite", "meetup", "district", "eventseye", "conferencealerts" ] }, "location": { "title": "Location", "type": "string", "description": "City name used by all scrapers (e.g. New York, Chicago, London).", "default": "New York" }, "limit": { "title": "Max Events (per source)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Max events to return. Set to 0 for no limit.", "default": 10 }, "date_from": { "title": "Date From", "type": "string", "description": "Filter events on or after this date.", "default": "" }, "date_to": { "title": "Date To", "type": "string", "description": "Filter events on or before this date.", "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 } } } } } } } } } } ```