Just Eat Restaurants — Area Listings & Delivery

What does Just Eat Restaurant Scraper do?

Scrape Just Eat restaurant listings from area / discovery URLs — name, cuisines, ratings, delivery ETA, fees, address, and deals. Business listing facts only (no diner personal data).

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Just Eat Takeaway.com or Just Eat. It reads public area-discovery restaurant listings only.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Export JSON/CSV, schedule area monitors, or call via API / MCP.

Next step — menus: Feed restaurant URLs or slugs into the Just Eat Restaurant Menu Scraper for item-level prices.

Cross-platform: compare coverage with the Deliveroo Scraper.

Why use this Just Eat scraper?

• 🍽️ Area URL in → structured restaurant rows out
• ⭐ Ratings, review counts, hygiene / cuisine metadata when present
• 🚚 Delivery-oriented fields (ETA, fees, minimums — as exposed)
• 🔑 Input keys match common Store Actors (searchUrl, maxItems) for easy migration
• 🛡️ Prefill uses Apify Residential GB (datacenter IPs often 403)

What restaurant data can you extract?

Typical fields: restaurant id, name, uniqueName, public url, address, rating, cuisines, delivery metadata, logo URL, optional contactPhone / contactEmail (when publicly shown and enrichment is on).

Use cases

• Food-delivery market research by postcode / area
• Competitor restaurant coverage maps
• Lead lists of business venues (not consumers)

How to scrape Just Eat restaurants

1. Open this Actor in Apify Console.
2. Click Start on the prefilled Covent Garden postcode URL (maxItems 5), or paste your own ?postcode= area URL.
3. Keep Residential + GB proxy. Leave enrichContact off for a fast first run.
4. Export the dataset or pull via API.
5. Optional: pass each restaurant’s menu URL or slug to Just Eat Restaurant Menu Scraper for item prices.

{
  "searchUrl": "https://www.just-eat.co.uk/area/wc2-coventgarden?postcode=WC2",
  "maxItems": 5,
  "enrichContact": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "GB"
  }
}

How much does it cost?

PPE: Actor start + each restaurant result. Around $2.49 / 1,000 on Free (see Pricing tab for tiers). Platform usage is included. Default run is 5 restaurants.

Input

Field	Description
searchUrl	Area URL with a postcode (required)
maxItems	Cap (prefill 5)
enrichContact	Extra fetches for public venue phone/email (off by default)
proxyConfiguration	Apify Proxy — keep Residential GB

Sample output

{
  "id": "123456",
  "name": "Example Kitchen",
  "uniqueName": "example-kitchen-covent-garden",
  "url": "https://www.just-eat.co.uk/restaurants-example-kitchen-covent-garden",
  "address": {
    "city": "London",
    "firstLine": "1 Example Street",
    "postalCode": "WC2N 4AA"
  },
  "rating": { "starRating": 4.5, "count": 1200 },
  "cuisines": [{ "name": "Italian" }],
  "isDelivery": true,
  "isCollection": true,
  "deliveryEtaMinutes": { "rangeLower": 20, "rangeUpper": 35 },
  "deals": [],
  "logoUrl": "https://just-eat-prod-eu-res.cloudinary.com/image/upload/example.png"
}

FAQ

Does this scrape customer reviews or diner PII?

No — restaurant / business discovery facts only. Optional contact fields are public venue phone/email, never diner identities.

UK only?

Built around Just Eat area discovery URLs (commonly .co.uk). Check the input URL’s market.

Legal?

Public business listing facts. This Actor is unofficial and not affiliated with Just Eat.

How do I get menu item prices?

Run Just Eat Restaurant Menu Scraper with each venue’s menu URL or restaurantSlug from this Actor’s output. Each Actor is billed separately (PPE per row).

Compare Just Eat vs Deliveroo in the same area?

Scrape the neighborhood with Deliveroo Scraper (queries like london/soho) and join on restaurant name / address in your warehouse.

Need help?

Open an issue on this Actor’s Issues tab in Apify Console.

Related Actors

Actor	Use together when…
Just Eat Restaurant Menu Scraper	You need menu items + prices after area discovery (step 2 of a Just Eat pipeline)
Deliveroo Scraper	You compare Deliveroo vs Just Eat listings or menus in the same city
Just Eat Restaurant Scraper	(this Actor) — area / discovery URLs

More scrapers: bakos_bence on Apify — ecommerce (Shopify, Chrono24, eMAG) and travel fares (Ryanair, Wizz Air).

For AI agents & LLM apps

Paste this Actor’s Apify Store URL into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

Actor ID: bakos_bence/justeat-restaurants

Minimal input:

{
  "searchUrl": "https://www.just-eat.co.uk/area/wc2-coventgarden?postcode=WC2",
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "GB"
  }
}

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

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