District.in Event Scraper

The District.in Event Scraper is an Apify Actor designed to extract event listings from 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.

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⭐ 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.

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📝 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.

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🚀 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.

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🧩 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

{
    "location": "Mumbai"
}

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📦 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

[
    {
        "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"
    }
]

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🆘 Support

For issues, questions, or feature requests:
Email: bhavin.shah@techforceglobal.com

Made with ❤️ for the Data Extraction community

📅 Book a 15-min consultation

This Actor can be integrated into a fully automated n8n workflow no manual steps, just end-to-end automation.

🌐 Website: https://techforceglobal.com/