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Just Eat Restaurant Listing Scraper logo

Just Eat Restaurant Listing Scraper

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.

Output

CSV

Columns

10

Input mode

Menu URLs

Pacing

Load + wait

Template

Free import

At a glance

A local Just Eat restaurant data extractor

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

Who needs Just Eat restaurants to CSV

Delivery-market analysts

Coverage checks

Favorable to scraping

Compare restaurant availability, cuisine mix, ratings, delivery fees, and promotional offers across a known city or postcode sample.

Restaurant operators

Competitor reviews

Favorable to scraping

Track how nearby Just Eat listings present minimum orders, delivery pricing, discounts, and cuisine positioning before adjusting your own delivery strategy.


How to use

Scrape Just Eat restaurant listings without code

1

Download and import

Use the page CTA or the hosted Just Eat restaurant listing scraper JSON, then import it into UScraper.

2

Replace the URL list

Open the Navigate block and replace the sample Just Eat UK /menu URLs with the restaurants you want to export.

3

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.

4

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.

5

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

What the Just Eat CSV export includes

just_eat_restaurant_listing_scraper.csv
CSV - UTF-8 - Append

Column

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

locationrestaurant_nameratingnumber_of_ratingstagsdeliver_timedelivery_feemin_orderdiscountsrestaurant_url
Croydon CR0Regina Pizza4.5 stars out of 5842Pizza25-40 minsDelivery from GBP 1.99Min. order GBP 10.0020% off when you spend GBP 20
Streatham CommonTaste of China4.3 stars out of 5510Chinese30-45 minsDelivery FREENo min. orderFree delivery
Headers included - one row per valid restaurant URL - sample values illustrate the workflow schema

Frequently asked questions

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

UScraper vs hosted Just Eat data services

This UScraper template

Local

Hosted Just Eat scrapers

Cloud
Runtime

Runs 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.

Output

CSV in your save folder

Structured Export defines every column.

Dashboard, API, or dataset delivery

Often tied to credits, accounts, and subscriptions.

Control

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

Practical limits for Just Eat restaurant scraping

Guardrails for reliable Just Eat exports

Pacing

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.

Layout

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.

Policy

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.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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FAQ

Frequently asked questions

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]