🍽️ Grubhub Restaurant Reviews Scraper

🍽️ Grubhub Restaurant Reviews Scraper

Efficiently extract comprehensive customer reviews, ratings, and order details from Grubhub restaurant pages. Get valuable insights into customer satisfaction, menu item popularity, and sentiment analysis with this powerful and reliable scraper.

ECOMMERCEINTEGRATIONSOTHERApify

🎯 Overview

Extract detailed customer reviews and ratings from any Grubhub restaurant page. This powerful scraper collects comprehensive review data including ratings, reviewer information, order details, menu items, and sentiment analysis.

✨ Features

  • 🔍 Scrapes detailed review information from Grubhub restaurant pages
  • ⭐ Captures star ratings and review content
  • 👤 Includes reviewer details (name, type, review count)
  • 📊 Provides order accuracy and food quality metrics
  • 🍜 Lists ordered menu items
  • 📅 Includes review and order timestamps
  • 😊 Includes sentiment analysis
  • 💪 Built-in proxy rotation and anti-blocking measures

💡 Use Cases

  • Market research and competitor analysis
  • Restaurant performance monitoring
  • Customer satisfaction tracking
  • Menu item popularity analysis
  • Review sentiment trending

🔧 Input Parameters

  • restaurantUrls: Array of Grubhub restaurant URLs to scrape
  • maxItems: Maximum number of reviews to collect (optional)
  • proxyConfiguration: Proxy settings (optional)

📦 Output

Detailed JSON format containing:

  • Restaurant URL
  • Review content and rating
  • Reviewer information
  • Order details and timestamps
  • Menu items ordered
  • Sentiment analysis
  • Customer feedback metrics

💪 Benefits

  • Reliable and efficient data collection
  • Rich, structured review data
  • Built-in rate limiting and retry mechanism
  • Automatic proxy rotation
  • Production-ready stability

🎮 Sample Usage

Input Example

A full explanation of an input example in JSON.

1{
2    "restaurantUrls": [
3        "https://www.grubhub.com/restaurant/noodle-world-1935-s-atlantic-blvd-monterey-park/2249885/"
4    ],
5    "maxItems": 50
6}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2    {
3        "restaurantUrl": "https://www.grubhub.com/restaurant/noodle-world-1935-s-atlantic-blvd-monterey-park/2249885/",
4        "content": "I love the variety and the food is always great",
5        "reviewer": "Maria",
6        "star_rating": 5,
7        "diner_type": "Regular",
8        "review_count": 2,
9        "review_created_date": 1735333733067,
10        "order_placed_time": 1735328684418,
11        "reviewer_last_order_from_customer_date": 0,
12        "id": "c6c459b0-c496-11ef-99b1-9b2490cb3d38",
13        "brand": "grubhub",
14        "sentiment": "Positive",
15        "responses": [],
16        "menu_items": [
17            {
18                "id": "20522860476",
19                "name": "THAI COFFEE"
20            },
21            {
22                "id": "20522860413",
23                "name": "21. Seafood Tom Yum."
24            }
25        ],
26        "facet_responses": {
27            "order_accuracy": "Yes",
28            "food_quality": "Yes"
29        }
30    },
31    ...
32]

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!