# District Event (`techforce.global/district-event`) Actor Extract comprehensive event listings from District.in, including titles, dates, venues, prices, and direct URLs for any city. This actor handles dynamic content and infinite scrolling to deliver clean, structured data in JSON, CSV, or Excel formats, perfect for event aggregation and market research. - **URL**: https://apify.com/techforce.global/district-event.md - **Developed by:** [Techforce Global](https://apify.com/techforce.global) (community) - **Categories:** Lead generation, Travel, Automation - **Stats:** 15 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 ## District.in Event Scraper The **District.in Event Scraper** is an Apify Actor designed to extract event listings from [district.in](https://www.district.in/) based on specific cities. It uses intelligent automation to handle city selection, infinite scrolling, and dynamic content loading to provide clean, structured data for entertainment, workshops, and social gatherings. It automatically handles pagination and extraction, producing structured data that can be easily exported for event aggregators, market research, or personal planning. --- ### ⭐ Features - Scrapes **event titles, dates, venues, prices, and direct URLs**. - **Smart City Selection**: Automatically handles search and dropdowns to target specific locations. - **Infinite Scrolling**: built-in scrolling mechanism to load and capture all available events. - **Concurrent Processing**: Uses a pool of browsers to process event details in parallel for speed. - **Reliable**: Built with Playwright for robust handling of dynamic content. - Exports results as **JSON**, **CSV**, **Excel**, or via API. --- ### 📝 Example Use Cases - **Event Aggregation**: Build a comprehensive database of local events for your app or website. - **Market Research**: Analyze ticket pricing trends and venue popularity in different cities. - **Social Planning**: Discover upcoming workshops, parties, and gatherings for community engagement. - **Competitor Analysis**: Track event offerings and schedules across multiple locations. --- ### 🚀 How to Use 1. Open the Actor on Apify. 2. Enter the **Location** you want to scrape events from (e.g., "Mumbai", "Delhi", "Bengaluru", "Dubai"). 3. Click **Run**. 4. Download or access your dataset in JSON, CSV, or Excel. --- ### 🧩 Input Configuration The Actor accepts a JSON object with the following property: | Field | Type | Required | Description | | ---------- | ------ | -------- | -------------------------------------------------------- | | `location` | String | ✔️ Yes | The city name to scrape events from (Default: "Mumbai"). | #### Example Input ```json { "location": "Mumbai" } ```` *** ### 📦 Output Fields The Actor stores filtered results in the default dataset. Each item contains: - `title`: The name/title of the event - `date`: The date or date string of the event (e.g., "Sat, 15 Feb onwards") - `venue`: The location/venue where the event is held - `price`: The ticket price or range (if available) - `event_url`: Direct link to the event page on district.in - `city`: The city for which the event was scraped #### Example Output ```json [ { "title": "Sunburn Union Presents: Local Artists Collective", "date": "Sat, 15 Feb onwards", "venue": "Sunburn Union: Bangalore", "price": "₹ 499 onwards", "event_url": "https://www.district.in/events/sunburn-union-presents-local-artists-collective-feb15-2025", "city": "Bengaluru" } ] ``` *** ### 🆘 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?month=2026-01) This Actor can be integrated into a fully automated n8n workflow no manual steps, just end-to-end automation. #### 🌐 Website: https://techforceglobal.com/ # Actor input Schema ## `location` (type: `string`): City name (e.g. Dubai, Mumbai, Delhi, Bengaluru) ## `maxItems` (type: `integer`): Maximum number of events to scrape ## `proxyConfiguration` (type: `object`): Proxy settings for anti-bot protection ## Actor input object example ```json { "location": "Mumbai", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (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/district-event").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/district-event").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/district-event --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techforce.global/district-event", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "District Event", "description": "Extract comprehensive event listings from District.in, including titles, dates, venues, prices, and direct URLs for any city. This actor handles dynamic content and infinite scrolling to deliver clean, structured data in JSON, CSV, or Excel formats, perfect for event aggregation and market research.", "version": "0.1", "x-build-id": "09XeLfkMRNEkHeJcP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techforce.global~district-event/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techforce.global-district-event", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techforce.global~district-event/runs": { "post": { "operationId": "runs-sync-techforce.global-district-event", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techforce.global~district-event/run-sync": { "post": { "operationId": "run-sync-techforce.global-district-event", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "location" ], "properties": { "location": { "title": "Location", "type": "string", "description": "City name (e.g. Dubai, Mumbai, Delhi, Bengaluru)", "default": "Mumbai" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of events to scrape", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for anti-bot protection", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```