GrubHub Scraper π
by natanielsantos
A reliable, no-code tool to scrape Grubhub for restaurant menus, locations, ratings, and more. Perfect for market research, app development, and competitor analysis.
Opens on Apify.com
About GrubHub Scraper π
Need to pull restaurant data from Grubhub for a project, but dread the idea of building a scraper from scratch? I've been there. This actor is the no-code solution I wish I'd had earlier. You simply give it a restaurant URL or search term, and it handles the rest, fetching the details you actually need: full menus with prices, location data, star ratings, review counts, and even logos. It runs fast and consistently, which is the real winβno more worrying about your data pipeline breaking because a website layout changed. I've used it for building competitor analysis dashboards, aggregating local menu prices for research, and populating databases for food delivery apps. It just works, saving you the weeks of development and maintenance time. If you need structured Grubhub data without the technical headache, this is the tool to run.
What does this actor do?
GrubHub Scraper π is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
GrubHub Scraper
Overview
This actor scrapes restaurant data from GrubHub. It can extract detailed information from individual restaurant pages or from search result listings. The data is output in JSON format for analysis or integration with other systems.
Key Features
- Comprehensive Data Extraction: Pulls restaurant details including name, address, phone, cuisines, ratings, and location coordinates.
- Menu and Hours Scraping: Optional extraction of menu items (with descriptions and prices) and operating hours.
- Robust Performance: Built-in proxy rotation and automatic retry logic for failed requests.
- Pagination Support: Can scrape multiple pages when provided with a search results URL.
- Configurable Limits: Set a maximum number of restaurants to scrape via
maxItems.
How to Use
Configure the actor run using input parameters. You can provide either direct restaurant URLs or a search results page URL.
Input Parameters
urls(Required): An array of GrubHub URLs to scrape. Can be individual restaurant pages or a search results page.maxItems(Optional): Maximum number of restaurants to scrape. Default is100.scrapeMenu(Optional): Set totrueto scrape menu items for each restaurant. Increases run time. Default istrue.scrapeAvailableHours(Optional): Set totrueto scrape operating hours. Default istrue.
Input Examples
Example 1: Scraping a specific restaurant
{
"urls": [
"https://www.grubhub.com/restaurant/20-dollar-pizza-642-9th-ave-new-york/1172686"
],
"scrapeMenu": true,
"scrapeAvailableHours": true
}
Example 2: Scraping from search results
{
"urls": [
"https://www.grubhub.com/search?orderMethod=delivery&locationMode=DELIVERY&facetSet=umamiV6&pageSize=36&hideHateos=true&searchMetrics=true&queryText=pizza&latitude=40.71277618&longitude=-74.00597382&geohash=dr5regw3pgd3&sorts=price&includeOffers=true&featureControl=fastTagBadges%3Atrue&sortSetId=umamiv3&countOmittingTimes=true&tab=all"
],
"maxItems": 100,
"scrapeMenu": false,
"scrapeAvailableHours": false
}
Input/Output
Output Format
The actor outputs a JSON array of restaurant objects. Each object contains the following core fields:
name,id,url,descriptionphoneNumber,cuisines[]location:address,city,postalCode,country,latitude,longitudedeliveryInfo:fee,timeEstimate,availablerating,ratingCount,priceRatingcurrencyCode,logoUrl
If scrapeMenu is enabled, each restaurant object will also include a menuItems array containing:
- id, name, description
- price: pickup, delivery
- imageUrl (if available)
If scrapeAvailableHours is enabled, an availableHours array will be included.
Use Cases
- Market & Competitive Analysis: Compare restaurant offerings, menus, and pricing in specific locations.
- Data Enrichment: Add detailed restaurant information to existing datasets.
- Business & Academic Research: Study food industry trends, pricing, and consumer behavior.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try GrubHub Scraper π now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- natanielsantos
- Pricing
- Paid
- Total Runs
- 2,238
- Active Users
- 17
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