Food delivery analysts
Market snapshots
Favorable to scraping
Compare places to eat across selected areas by exporting cuisine tags, delivery estimates, review signals, fees, and active promotions into one reviewable CSV.
Food Delivery$50Free
Just Eat Restaurant Listing Scraper - Italian
The Just Eat restaurant listing scraper turns supplied restaurant menu URLs into a structured CSV of listing-style fields: location, restaurant name, rating, review count, cuisine tags, delivery time, delivery fee, minimum order, discounts, and source URL. It is built for food delivery research teams that need Just Eat to CSV without rebuilding browser automation from scratch.
Output
CSV
Columns
10
Input
URL list
Waits
Load + guard
Template
Free import
At a glance
Export Just Eat restaurant listings to CSV
Listing fields in fixed columns
Export restaurant names, ratings, cuisine tags, delivery fees, minimum order text, discounts, and URLs into a spreadsheet-ready file instead of copying restaurant cards by hand.
Multi-URL loop with append mode
The Navigate block accepts a list of restaurant menu URLs, while Structured Export uses append mode so every valid page lands in the same CSV.
Local output custody
Rows are written by the desktop app to the save folder you choose. The stock workflow does not send the exported restaurant listing data to a hosted scraper queue.
Guarded extraction path
A menu-page check skips pages that redirect, expose no menu container, or otherwise cannot provide reliable listing fields for the current session.
The bundled sample workflow uses Just Eat restaurant menu URLs as inputs. Replace those examples with the Italy-focused or market-specific Just Eat URLs you want to audit, then run a small batch before scaling. Some fields depend on postcode, availability, currency display, and session context, so blank values are possible when the page does not expose the data.
Who this is for
Who uses Just Eat restaurant data
Restaurant operators
Competitive monitoring
Favorable to scraping
Track nearby restaurant listings before adjusting delivery fees, minimum order thresholds, or discount campaigns. The output gives teams a repeatable baseline instead of one-off screenshots.
Agencies and researchers
Lead lists
Nuanced outcome
Use the CSV as a seed list, then pair it with the Just Eat Restaurant Menu Scraper, Uber Eats Restaurant Listing Scraper, or Website Contact Details Scraper for deeper enrichment.
How to use
Scrape Just Eat restaurant listings in five steps
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 restaurant menu URLs with the reviewed Just Eat restaurant pages you want to collect.
3
Run the page-load path
UScraper navigates to each URL, waits for the page load event, waits until body is visible, and pauses briefly so dynamic restaurant details can render.
4
Let the guard decide
The Element Exists block checks for the menu container. When the page looks valid, the workflow exports; when it does not, the loop advances without adding a weak row.
5
Open the CSV
Structured Export appends the configured columns with headers enabled. Open the file in Excel, Sheets, BI software, or your own enrichment pipeline.
Output preview
What the Just Eat CSV export includes
just-eat-restaurant-listing-scraper-italian.csvColumn
location
Area or postcode text inferred from page metadata, title, or visible page copy.
Column
restaurant_name
Restaurant name from the page heading or title fallback.
Column
rating
Displayed rating text, such as stars out of five, when exposed.
Column
number_of_ratings
Review or rating count normalized without commas.
Column
tags
Cuisine or menu-section text, such as Pizza, Chinese, Sushi, or Desserts.
Column
deliver_time
Delivery estimate text when the restaurant page displays it.
Column
delivery_fee
Delivery fee text, including free delivery labels when present.
Column
min_order
Minimum order text or no-minimum-order label.
Column
discounts
Promotions such as percentage off, free item offers, stamps, or low delivery fee labels.
Column
restaurant_url
Canonical source URL for the restaurant page.
Sample rows
2 of many
| location | restaurant_name | rating | number_of_ratings | tags | deliver_time | delivery_fee | min_order | discounts | restaurant_url |
|---|---|---|---|---|---|---|---|---|---|
| Croydon CR0 2 | Regina Pizza | 4.4 stars out of 5 | 1290 | Pizza Italian | 25 - 40 mins | Delivery from GBP 1.49 | Min. order GBP 10.00 | 20% off when you spend GBP 25 | |
| Streatham SW16 | Taste of China | 4.2 stars out of 5 | 842 | Chinese Noodles | 30 - 45 mins | Free delivery | No min. order | Collect stamps |
Headers included - one row per valid restaurant page - representative values
Frequently asked questions
Just Eat pages can be publicly visible and still governed by Just Eat terms, robots guidance, restaurant rights, privacy law, and local regulation. Use modest volume, avoid bypassing access controls, and get legal review before resale, redistribution, automated monitoring, or regulated commercial use.
Before you scale
Practical limits for Just Eat listing extraction
Guardrails for reliable restaurant exports
Availability
Some listing fields can be blank
Delivery fees, delivery time, discounts, and minimum order values may depend on postcode, restaurant status, currency display, or the visitor session. Treat blanks as unavailable fields, not necessarily scraper failures.
Pacing
Keep URL batches modest
Start with a short reviewed URL list, confirm row quality, then expand carefully. Heavy unattended collection can trigger throttling, redirects, or verification prompts.
Maintenance
Selectors can drift after a Just Eat redesign
The workflow checks for a menu container and uses JavaScript columns for several fields. If exports go empty after a layout change, update the relevant column logic before trusting new runs.
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
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