Uber Eats Pro Scraper

Extract restaurant contact data from Uber Eats at scale — emails, phones, company IDs, VAT numbers, addresses — ready for outreach, CRM enrichment, and market intelligence.

Built for growth marketers, restaurant suppliers, food-tech entrepreneurs, and B2B sales teams.

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Why use this?

Uber Eats lists thousands of restaurants with business details that are hard to collect manually. This Actor gives you:

• Direct contact data — Phone and email when available (EU legal disclosure)
• Business identifiers — Company ID (SIRET for France), VAT numbers for B2B verification
• Targeted lists — By country, region, city, or cuisine type
• Exhaustive coverage — Territory mode scans entire regions; City mode for specific markets
• Enrichment — Paste existing URLs to add missing fields to your CRM

Use cases: Pitch POS systems, delivery optimization, ingredients supply, franchise opportunities, market reports, competitor mapping.

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Quick Start

1. Open the Input tab
2. Choose Territory mode
3. Select Country (e.g. France) and Region (e.g. France – Île-de-France)
4. Click Run

Results stream in the Dataset tab. Export as CSV, JSON, or Excel. No code needed.

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Three Modes

Territory — Country or region

Best for market analysis and exhaustive lead lists. Scans all restaurants in a country or region. Filter by cuisine type.

{
  "mode": "territory",
  "country": "fr",
  "region": "fr:idf",
  "categories": ["halal"],
  "maxResults": 2000
}

Region format	Example
Entire country	fr:all, be:all, us:all
Specific region	fr:idf (Île-de-France), fr:ara (Auvergne-Rhône-Alpes)

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City — One or more cities

Best for local campaigns and city-level outreach. Just type the city name — country is auto-detected (Annecy → France, Austin → US, Brussels → Belgium).

{
  "mode": "city",
  "cityNames": ["Annecy", "Paris", "Lyon"],
  "maxResults": 500
}

No need to select a country. Optional override: "fr:Annecy" forces France. Case and accents ignored.

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URLs — Enrich existing links

Already have Uber Eats URLs? Paste them to extract or refresh contact data.

{
  "mode": "urls",
  "startUrls": [
    "https://www.ubereats.com/fr/store/mcdonalds-paris/abc123"
  ]
}

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Output — What you get

Each restaurant is one row:

Category	Fields
Contact	email, phone, phoneFormatted, phoneLandline, phoneMobile
Business	companyId (SIRET for France), vatNumber
Location	address (street, city, region, postalCode, country, formatted), location (lat, lng)
Profile	name, url, foodCategories, priceRangeMin, priceRangeMax
Social proof	rating, reviewCount, imageCover

Export: CSV (semicolon-separated for Excel), JSON, Excel.

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Input Parameters

Parameter	Description
mode	territory / city / urls
country	Country code. Territory mode. Ignored in City mode — auto-detected from city name
region	countryCode:regionCode (e.g. fr:idf, be:all). Must match the selected country
cityNames	City names — country auto-detected. Use fr:Annecy to force a country
categories	Cuisine filters: halal, fast-food, sushi… Leave empty for all
maxResults	Max restaurants to collect. Leave empty for unlimited
collectEmails	Extract emails from restaurant pages. Activates residential proxy automatically
startUrls	Restaurant URLs for URL mode

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Email Collection

Uber Eats includes restaurant email addresses in the legal disclosure section of each page. This data is only served when the request originates from an IP matching the restaurant's country — a legal transparency requirement in the EU.

When Collect emails is enabled, the scraper automatically routes requests through a residential proxy:

• European destinations (France, Belgium, Germany, Spain, Italy, UK, Netherlands, etc.) → France proxy
• North America (US, Canada) → United States proxy
• Other destinations → France proxy (best default for email coverage)

No proxy configuration required on your end.

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Use Cases

Goal	Mode	Config
Full France halal list	Territory	region: fr:all, categories: ["halal"]
Île-de-France restaurants	Territory	region: fr:idf
Paris + Lyon outreach	City	cityNames: ["Paris", "Lyon"]
Belgium delivery market	Territory	country: be, region: be:all
Enrich CRM from URLs	URLs	Paste URLs in startUrls
Multi-country comparison	Territory	Run per country, merge datasets

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Tips

Start small. Set maxResults: 100 on your first run. Check the output, then scale.

Use categories to narrow. halal, sushi, fast-food — fewer irrelevant leads, better conversion.

Territory for volume. City mode is faster per run; Territory gives exhaustive coverage when you need it.

Region must match country. If country is be, use be:all or a Belgian region — not fr:all.

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FAQ

Why are some emails empty? Not all restaurants publish their email. When they do, it appears in the legal disclosure section of the page — only visible to IPs from the relevant country. Enable Collect emails to activate the residential proxy automatically.

What countries are supported? 31 markets: France, Belgium, Germany, Spain, Italy, United Kingdom, Netherlands, United States, Canada, Australia, Japan, and more. See the Country dropdown in the Input tab.

Can I run it on a schedule? Yes. Use Apify Scheduler to run weekly or monthly and keep your lead list fresh.

CSV separator? Semicolon (;) for Excel compatibility.

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Local Development

npm install
npm run build
apify run

Input: storage/key_value_stores/default/INPUT.json Output: output.csv and storage/datasets/default/

Update reference (countries, regions, cities)

npm run update-reference
npm run build:schema

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Deployment

$apify push

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Support

Available for questions, custom requests, or integration help: corentin@outreacher.fr

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Apache 2.0 — Last updated: March 2026