Just Eat Menu Scraper — Items, Prices & Categories

What does Just Eat Restaurant Menu Scraper do?

Scrape Just Eat restaurant menus — item name, price with currency, category, and variations — from menu URLs or restaurant slugs. Business / menu 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 restaurant menus 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.

Pair with the Just Eat Restaurant Scraper for discovery → menu pipelines.

Why use this Just Eat menu scraper?

• 🍔 Full menu item rows with prices + currency
• 📂 Categories and variations when exposed
• 🔁 Modes: menuUrl or restaurantSlug
• 🔑 Field names match common Store Actors for migration
• 🇬🇧 country selector (uk default, ie, …)

What menu data can you extract?

Menu item name, price, currency, category, variation options, restaurant identifiers, and the public menuUrl.

Use cases

• Menu / price monitoring for takeaway venues
• Category assortment research
• Pipeline step 2 after Just Eat Restaurant Scraper area runs

How to scrape a Just Eat menu

1. Open this Actor in Apify Console.
2. Click Start on the prefilled UK menu URL (maxItems 5), or paste your own startUrls.
3. Optionally switch mode to restaurantSlug and enter slugs (set country if not UK).
4. Keep Apify Residential proxy if you hit 403s. Export the dataset.

{
  "mode": "menuUrl",
  "startUrls": ["https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu"],
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

How much does it cost?

PPE: Actor start + each menu-item result. Around $4.29 / 1,000 on Free (see Pricing tab for tiers). Platform usage is included. Default run is 5 items.

Input

Input	Notes
mode	menuUrl (default) or restaurantSlug
startUrls	Full menu URLs
restaurantSlugs	e.g. magic-wok-new-finsbury-ec1v
country	uk (default), ie, …
maxItems	Cap on menu item rows (prefill 5)
proxyConfiguration	Apify Proxy — Residential recommended

Sample output

{
  "id": "abc123",
  "name": "Chicken Chow Mein",
  "description": "Stir-fried noodles with chicken",
  "category": "Noodles",
  "price": 8.9,
  "currency": "GBP",
  "variations": [{ "Name": "Regular", "BasePrice": 8.9 }],
  "restaurantName": "Magic Wok",
  "restaurantSeoName": "magic-wok-new-finsbury-ec1v",
  "menuUrl": "https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu",
  "country": "uk"
}

FAQ

Restaurant listings or menus?

This Actor is menus. Use Just Eat Restaurant Scraper for area discovery.

Personal data?

No diner / customer personal data — restaurant menu business facts only. Venue phone/email from the menu payload are stripped.

Two-step Just Eat pipeline?

1. Just Eat Restaurant Scraper — area URL → restaurant rows
2. This Actor — menu URL or slug → item prices (separate run, separate PPE)

Legal?

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

Need help?

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

Related Actors

Actor	Use together when…
Just Eat Restaurant Scraper	You need to discover venues first; this Actor scrapes menus only
Just Eat Restaurant Menu Scraper	(this Actor) — items, categories, variations

Profile: bakos_bence on Apify

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-menus

Minimal input:

{
  "mode": "menuUrl",
  "startUrls": ["https://www.just-eat.co.uk/restaurants-magic-wok-new-finsbury-ec1v/menu"],
  "maxItems": 5
}

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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