Delivery-market analysts
Coverage checks
Compare restaurant availability, cuisine mix, ratings, delivery fees, and promotional offers across a known city or postcode sample.
Limited Time — Lifetime Access for just $99. Lock in before prices rise.
The Just Eat restaurant listing scraper turns known Just Eat UK menu URLs into a structured CSV of restaurant-level fields. Use it to scrape Just Eat location, restaurant name, rating, rating count, cuisine tags, delivery time, delivery fee, minimum order, discounts, and source URL without rebuilding a browser workflow from scratch.
CSV
10
Menu URLs
Load + wait
Free import
At a glance
Exports restaurant rows, not screenshots
Each valid source URL becomes one CSV row with the fields analysts usually copy from delivery pages: name, cuisine tags, rating text, delivery estimates, fees, minimum order, offers, and the final restaurant URL.
Works from a prepared URL list
Add the Just Eat restaurant menu URLs you already know, then let the multi-URL Navigate block process them one by one. This is useful for competitor sets, postcode samples, or account lists that need repeatable refreshes.
Keeps the export under local control
The stock graph runs in the UScraper local desktop app and writes to a folder you configure. It is not a hosted actor queue, and the template does not add a cloud upload step.
Skips invalid pages pragmatically
A guard checks for Just Eat menu content before exporting. If a URL redirects to the homepage, fails to load a menu, or is not a valid restaurant page, the loop continues instead of adding a misleading row.
Who this is for
Delivery-market analysts
Coverage checks
Compare restaurant availability, cuisine mix, ratings, delivery fees, and promotional offers across a known city or postcode sample.
Restaurant operators
Competitor reviews
Track how nearby Just Eat listings present minimum orders, delivery pricing, discounts, and cuisine positioning before adjusting your own delivery strategy.
Agencies and researchers
Food delivery datasets
Build a controlled restaurant dataset, then combine it with the Just Eat Restaurant Menu Scraper, Uber Eats Restaurant Listing Scraper, or Thuisbezorgd Scraper.
How to use
Download and import
Use the page CTA or the hosted Just Eat restaurant listing scraper JSON, then import it into UScraper.
Replace the URL list
Open the Navigate block and replace the sample Just Eat UK /menu URLs with the restaurants you want to export.
Run the page sequence
The workflow sets a large browser window, navigates to each URL, waits for load, waits for the page heading, and pauses briefly so dynamic content can appear.
Let the guard check the page
The Element Exists block looks for menu content. Valid restaurant pages move to Structured Export; invalid or redirected pages continue to the next URL.
Open the CSV
Structured Export appends rows with headers to just_eat_restaurant_listing_scraper.csv. Open it in Excel, Sheets, a BI tool, or your enrichment pipeline.
Output preview
just_eat_restaurant_listing_scraper.csvColumn
location
Best-effort city, area, or postcode cue from metadata or page text.
Column
restaurant_name
Restaurant name from the page heading.
Column
rating
Displayed rating text when Just Eat exposes it.
Column
number_of_ratings
Review or rating count when available.
Column
tags
Cuisine tags inferred from page metadata.
Column
deliver_time
Delivery estimate such as 20-35 mins.
Column
delivery_fee
Delivery fee text, including free delivery when shown.
Column
min_order
Minimum order requirement or no-minimum text.
Column
discounts
Visible promotion such as percentage off or free delivery.
Column
restaurant_url
Final URL from the browser location.
Sample rows
2 of many
| location | restaurant_name | rating | number_of_ratings | tags | deliver_time | delivery_fee | min_order | discounts | restaurant_url |
|---|---|---|---|---|---|---|---|---|---|
| Croydon CR0 | Regina Pizza | 4.5 stars out of 5 | 842 | Pizza | 25-40 mins | Delivery from GBP 1.99 | Min. order GBP 10.00 | 20% off when you spend GBP 20 | |
| Streatham Common | Taste of China | 4.3 stars out of 5 | 510 | Chinese | 30-45 mins | Delivery FREE | No min. order | Free delivery |
Just Eat pages may be public and still governed by platform terms, robots guidance, restaurant rights, copyright, privacy rules, and local law. Use conservative pacing, do not bypass access controls, and get legal review before resale, redistribution, automated monitoring, or large commercial datasets.
Comparison
This UScraper template
LocalHosted Just Eat scrapers
CloudRuns in your desktop browser session
You can inspect the workflow and update the URL list.
Runs on vendor infrastructure
Convenient for managed jobs, but less transparent.
CSV in your save folder
Structured Export defines every column.
Dashboard, API, or dataset delivery
Often tied to credits, accounts, and subscriptions.
No stock cloud upload step
Rows stay local unless you add another action.
Data passes through a third party
Useful at scale, but harder for sensitive research.
Before you scale
Guardrails for reliable Just Eat exports
Start with a small URL batch
Run five to ten restaurant URLs first, check row quality, then expand gradually. Heavy unattended collection can trigger throttling, verification prompts, or incomplete pages.
Restaurant pages can change
If exports become empty or rating fields disappear, re-test one known URL and update the export logic before trusting a larger dataset.
Use the data under applicable rules
Review Just Eat policies and local regulations before storing, sharing, or commercializing restaurant data. Running a local desktop app does not remove compliance obligations.
Download and use this template instantly
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All TemplatesHere are some of our most common questions. Can't find what you're looking for?
View All FAQsDownload UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.
Available on Windows 10+ and macOS 12+ · Need help? [email protected]