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.
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.
restaurantUrls
: Array of Grubhub restaurant URLs to scrapemaxItems
: Maximum number of reviews to collect (optional)proxyConfiguration
: Proxy settings (optional)Detailed JSON format containing:
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}
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]
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.
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.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
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!