Skip to content

nightking-oliver-powers/eventbrite-dating-scraper

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 

Repository files navigation

Eventbrite Dating Scraper

Collect real dating and singles event listings from Eventbrite across major cities with clean, structured data. This project helps platforms and aggregators discover, organize, and analyze dating events efficiently. Built for accuracy, coverage, and scale, it turns scattered listings into actionable datasets.

Bitbash Banner

Telegram   WhatsApp   Gmail   Website

Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for eventbrite-dating-scraper you've just found your team — Let’s Chat. 👆👆

Introduction

This project gathers dating and singles events from Eventbrite and converts them into a consistent, structured format. It solves the problem of fragmented event discovery by centralizing listings across cities and categories. It’s designed for dating platforms, event aggregators, marketers, and researchers who need reliable event data.

Dating Event Discovery at Scale

  • Covers multiple dating-related categories for broader visibility
  • Supports both in-person and online events
  • Detects free vs paid pricing automatically
  • Avoids duplicates using stable event identifiers
  • Provides city-level coverage for market comparison

Features

Feature Description
Multi-City Coverage Collects events across major metropolitan areas with configurable city lists.
Category Expansion Scans multiple dating and singles categories to maximize discovery.
Pagination Handling Traverses several pages per category for deeper coverage.
Price Detection Identifies whether events are free or paid and captures ticket pricing.
Online Event Detection Flags virtual events separately from in-person listings.
Duplicate Prevention Ensures unique events using event-level identifiers.
Image Extraction Captures event thumbnails for rich presentation use cases.
Resilient Retrieval Includes retry logic and fallback selectors for higher reliability.

What Data This Scraper Extracts

Field Name Field Description
id Unique identifier assigned to the event.
title Name of the dating or singles event.
description Short summary of the event details.
date Formatted date of the event.
city City where the event is hosted or targeted.
venue Venue name or placeholder when not announced.
address Full address when available.
price Ticket price or indication that the event is free.
eventUrl Direct link to the event listing.
imageUrl Thumbnail image associated with the event.
category Event classification such as Dating & Singles.
isOnline Indicates whether the event is virtual.
source Origin of the event listing.
extractedAt Timestamp indicating when the data was collected.

Example Output

[
      {
        "id": "7890123456",
        "title": "Speed Dating NYC - Ages 30-40",
        "description": "Meet 10-15 singles in one fun evening at our popular speed dating event...",
        "date": "Sat, Dec 14, 2024",
        "city": "New York",
        "venue": "The Manhattan Lounge",
        "price": "$45",
        "eventUrl": "https://www.eventbrite.com/e/speed-dating-nyc-tickets-7890123456",
        "imageUrl": "https://img.evbuc.com/https%3A%2F%2Fcdn.evbuc.com%2Fimages%2F...",
        "category": "Dating & Singles",
        "isOnline": false,
        "source": "EventBrite",
        "extractedAt": "2025-08-21T00:00:00.000Z"
      }
    ]

Directory Structure Tree

eventbrite-dating-scraper/
├── src/
│   ├── index.js
│   ├── crawler/
│   │   ├── cityRunner.js
│   │   ├── categoryScanner.js
│   │   └── pagination.js
│   ├── extractors/
│   │   ├── eventParser.js
│   │   └── priceDetector.js
│   ├── utils/
│   │   ├── deduplicator.js
│   │   ├── dateFormatter.js
│   │   └── retryHandler.js
│   └── config/
│       └── defaults.json
├── data/
│   ├── sample-output.json
│   └── cities.example.json
├── package.json
└── README.md

Use Cases

  • Dating platforms use it to aggregate local events, so they can increase user engagement with real-world meetups.
  • Event aggregators use it to build curated city guides, so users can discover singles events easily.
  • Marketing teams use it to analyze pricing and formats, so they can plan competitive promotions.
  • Researchers use it to study trends in dating events, so they can understand seasonal and regional demand.
  • Community organizers use it to monitor offerings, so they can identify gaps and opportunities.

FAQs

Can I customize which cities are included? Yes, the city list is configurable, allowing you to focus on specific regions or expand coverage as needed.

Does it include online dating events? Yes, virtual events are detected and clearly marked, making it easy to separate them from in-person listings.

What happens if fewer events exist than expected? The scraper returns all available events up to the defined limit, ensuring accuracy rather than forcing artificial counts.

How does it handle duplicate listings? Each event is tracked using a unique identifier to prevent repeated entries across categories or pages.


Performance Benchmarks and Results

Primary Metric: Processes approximately 30–40 events per city within a few minutes, depending on availability.

Reliability Metric: Achieves a 70–90% successful retrieval rate across diverse cities and categories.

Efficiency Metric: Uses paginated traversal and batching to minimize redundant requests while maximizing coverage.

Quality Metric: Delivers high data completeness with consistent fields and minimal duplication across results.

Book a Call Watch on YouTube

Review 1

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time."

Nathan Pennington
Marketer
★★★★★

Review 2

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on."

Eliza
SEO Affiliate Expert
★★★★★

Review 3

"Exceptional results, clear communication, and flawless delivery.
Bitbash nailed it."

Syed
Digital Strategist
★★★★★

Releases

No releases published

Packages

No packages published