The NanoScrape Groupon Scraper is an Apify actor that extracts product listings and prices from groupon.com. It returns 35 fields per result including title, city, description, review_count, category, priced at $50/1k result, with no API key or monthly subscription required.
Extract deals from Groupon across 12 countries (source platform). Returns title, price, discount, merchant info, location, and coordinates. No login required. Pay-per-result.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
title | string | CinemaxX 2, 5 oder 10 Kinogutscheine | Core | 100% |
deal_url | string | https://www.groupon.de/deals/cinemaxx-2026-1 | Core | 100% |
deal_id | string | 87a3fc3c-fe76-48b0-81ba-816831461eb3 | Core | 100% |
merchant_name | string | null | CinemaxX | Core | 100% |
location_name | string | null | CinemaxX Berlin | Core | 100% |
image_url | string | null | https://img.grouponcdn.com/deal/BP7ANZ6aXoz5zJTAh4JMtH/3f-1650x990/v1/t600x362.webp | Core | 100% |
source_url | string | https://www.groupon.de/gutscheine/berlin | Core | 100% |
location_address | string | null | Mitte, Berlin | Location | 100% |
latitude | number | null | 52.5088341 | Location | 100% |
longitude | number | null | 13.3737373 | Location | 100% |
locations_total | number | null | 30 | Location | 100% |
merchant_address | string | null | (populated when data available) | Location | — |
locations | array | null | (populated when data available) | Location | — |
country | string | DE | Location | 100% |
city | string | berlin | Location | 100% |
description | string | null | (populated when data available) | Description | — |
opening_hours | string | null | (populated when data available) | Employment | — |
merchant_rating | number | null | 4.6 | Reviews / rating | 100% |
merchant_rating_count | number | null | 383 | Reviews / rating | 100% |
review_rating | number | null | (populated when data available) | Reviews / rating | — |
review_count | number | null | (populated when data available) | Reviews / rating | — |
category | string | null | Movies | Metadata | 100% |
expiry_date | string | null | (populated when data available) | Metadata | — |
scraped_at | string | 2026-09-14T06:43:09.235Z | Metadata | 100% |
deal_slug | string | null | cinemaxx-2026-1 | Other | 100% |
price | number | null | 17 | Other | 100% |
original_price | number | null | 30.78 | Other | 100% |
currency | string | null | EUR | Other | 100% |
discount_percent | number | null | 45 | Other | 100% |
highlights | string | null | (populated when data available) | Other | — |
fine_print | string | null | (populated when data available) | Other | — |
sold_quantity | string | null | (populated when data available) | Other | — |
merchant_website | string | null | (populated when data available) | Other | — |
merchant_phone | string | null | (populated when data available) | Other | — |
options | array | null | (populated when data available) | Other | — |
{
"includeDetails": true,
"maxResults": 30
}{
"title": "CinemaxX 2, 5 oder 10 Kinogutscheine",
"deal_url": "https://www.groupon.de/deals/cinemaxx-2026-1",
"deal_id": "87a3fc3c-fe76-48b0-81ba-816831461eb3",
"deal_slug": "cinemaxx-2026-1",
"merchant_name": "CinemaxX",
"merchant_rating": 4.6,
"merchant_rating_count": 383,
"price": 17,
"original_price": 30.78,
"currency": "EUR",
"discount_percent": 45,
"location_name": "CinemaxX Berlin",
"location_address": "Mitte, Berlin",
"latitude": 52.5088341,
"longitude": 13.3737373,
"locations_total": 30,
"image_url": "https://img.grouponcdn.com/deal/BP7ANZ6aXoz5zJTAh4JMtH/3f-1650x990/v1/t600x362.webp",
"category": "Movies",
"description": null,
"highlights": null,
"fine_print": null,
"sold_quantity": null,
"expiry_date": null,
"merchant_website": null,
"merchant_phone": null,
"merchant_address": null,
"opening_hours": null,
"review_rating": null,
"review_count": null,
"options": null,
"locations": null,
"country": "DE",
"city": "berlin",
"source_url": "https://www.groupon.de/gutscheine/berlin",
"scraped_at": "2026-09-14T06:43:09.235Z"
}Priced at $0.0500 per result. 10 results ≈ $0.50, 100 ≈ $5.00, 1,000 ≈ $50.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Click Open on Apify above to run groupon-scraper in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.
Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.
curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~groupon-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'// npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/groupon-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);# pip install apify-client
from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/groupon-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)// dotnet add package Apify.Client
using Apify.Client;
var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/groupon-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;
ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/groupon-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.
https://mcp.apify.com?tools=santamaria-automations/groupon-scraperExample prompt once connected:
"Use <code>groupon-scraper</code> to run a scrape on my target list and give me the results as a table."
Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/groupon-scraper.https://api.apify.com/v2/acts/santamaria-automations~groupon-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~groupon-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~groupon-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~groupon-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.$50.00 / 1,000 result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.
35 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.
Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.
No. This actor reads public pages over HTTP with datacenter proxies. No API key, no OAuth, no rate-limit management on your side.
Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.