Groupon.com Scraper

Scrapes deals, listings, and local offers from Groupon.com. It extracts structured data from search results, category pages, and individual deal detail pages for analysis or integration into other applications.

Key Features

• Scrapes Groupon search results and local listings.
• Extracts full details from individual deal pages.
• Configurable start URLs to target specific searches, categories, or deals.
• Optional item limit to control the volume of data.
• Supports proxy configuration for geo-specific scraping needs.

How to Use

Configure the actor using a JSON input object. The primary method is to provide one or more startUrls pointing to Groupon pages you want to scrape, such as a search query, a local category, or a specific deal.

Input

Define your scraping job in the actor's input. Here’s the schema:

{
  "startUrls": [
    { "url": "https://www.groupon.com/search?query=oil" },
    { "url": "https://www.groupon.com/local/beauty-and-spas" }
  ],
  "maxItems": 10,
  "proxyConfiguration": { "useApifyProxy": false }
}

• startUrls: (Required) An array of URLs to start scraping from.
• maxItems: (Optional) A limit on the total number of items to scrape.
• proxyConfiguration: (Optional) Configuration for proxy usage, including Apify Proxy.

Output

The actor outputs a dataset where each item is a structured JSON object representing a deal. The output includes details like title, URL, price, description, and various deal flags.

Example output item:

{
  "id": "sev-laser-chicago",
  "title": "Say Goodbye to Unwanted Hair! 6 Laser Sessions at SEV Laser Chicago (Up to 56% Off)",
  "url": "https://www.groupon.com/deals/sev-laser-chicago",
  "status": "BUY",
  "mainDealType": "local",
  "aboutDealHtml": "<p>Are you tired of the constant hassle of shaving or waxing?...</p>",
  "flags": {
    "isGoodsDeal": false,
    "isGiftable": true,
    "hasPromotion": true
  }
}

The complete dataset is available in the Apify console in formats like JSON, CSV, and Excel. You can access it via the Apify API at: https://api.apify.com/v2/datasets/{DATASET_ID}/items.