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UberEats Restaurant Listings Scraper API

XCrawl's UberEats Restaurant Listings Scraper API delivers precise restaurant extraction and structured ubereats data via a robust RESTful endpoint. Bypass parsing hurdles, IP blocks, and rate limits to build comprehensive restaurant datasets effortlessly. Ideal for developers seeking reliable restaurant crawler functionality with JSON outputs for seamless integration.

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Was können Sie mit dem UberEats Restaurant Listings Scraper API Scraper bauen?

Build dynamic restaurant datasets for market analysis, track ubereats data for competitive intelligence on menus and ratings, or power apps with our ubereats api for real-time restaurant extraction. Enable price monitoring across chains, sentiment analysis from reviews, and location-based insights using scalable restaurant datasets from UberEats listings.

XCrawl

Structured JSON Datasets

Receive clean, parse-ready restaurant datasets in JSON format, perfect for Python or Node.js pipelines, eliminating manual restaurant extraction and ensuring high-fidelity ubereats data.

XCrawl

Real-Time Restaurant Crawler

Access fresh ubereats api endpoints for instant restaurant datasets, supporting async requests to handle high-volume restaurant extraction without delays or data staleness.

XCrawl

Scalable Data Extraction

Effortlessly scale your restaurant crawler to millions of records, with built-in retries and proxies for reliable restaurants dataset generation from UberEats.

XCrawl

Developer-Friendly Integration

Seamless ubereats data integration via simple HTTP calls, complete with SDKs for quick setup in restaurant extraction workflows and dataset management.

Vertraut von datengetriebenen Teams weltweit

Eingesetzt von Teams in Analyse, Forschung, Monitoring und Growth-Workflows.

XCrawl

Verfügbare UberEats Restaurant Listings Scraper API Scraper

Greifen Sie auf die meistgenutzten UberEats Restaurant Listings Scraper API Datentypen zu – vollständig strukturiert, einheitlich formatiert und produktionsbereit.

restaurant dataset

Extract comprehensive listings of UberEats restaurants including profiles, menus, and ratings for bulk restaurant dataset creation.

Scraping-Methode:
  • restaurant_id
  • name
  • address
  • cuisine_types
  • average_rating
  • review_count
  • delivery_fee
  • image_url

restaurant datasets

Generate multiple restaurant datasets filtered by location, cuisine, or popularity via targeted UberEats queries.

Scraping-Methode:
  • restaurant_name
  • phone
  • hours
  • menu_items
  • price_range
  • popularity_score
  • distance
  • promo_tags

restaurants dataset

Compile large-scale restaurants dataset from UberEats search results, categories, and top lists for analytics.

Scraping-Methode:
  • id
  • chain_name
  • location
  • rating_stars
  • total_reviews
  • min_order
  • categories
  • logo_url

ubereats data

Pull raw ubereats data on restaurant listings, including real-time availability and pricing details.

Scraping-Methode:
  • uber_id
  • display_name
  • lat_long
  • current_rating
  • delivery_time
  • fee_amount
  • is_open
  • thumbnail

ubereats api

Leverage ubereats api endpoints for programmatic access to restaurant extraction and structured outputs.

Scraping-Methode:
  • api_endpoint
  • restaurant_uuid
  • full_address
  • user_rating
  • votes
  • cuisines
  • eta_range
  • banner_image

restaurant extraction

Perform precise restaurant extraction from UberEats pages, capturing metadata for custom datasets.

Scraping-Methode:
  • extraction_id
  • name_slug
  • street_address
  • score
  • review_snippets
  • specials
  • vehicle_type
  • profile_photo

UberEats Restaurant Listings Scraper API Crawling-Methoden

XCrawl

API Scraping (Für Entwickler)

Integrate via REST API for full control in Python, Node.js, or any HTTP client with async support.

  • XCrawl
    Python SDK Ready
    Use our Python library for quick restaurant dataset queries and ubereats data handling with minimal code.
  • XCrawl
    Async High-Volume
    Handle massive restaurant extraction runs asynchronously, scaling to thousands of requests per minute.
  • XCrawl
    Custom Parameters
    Tailor ubereats api calls with geo-filters, keywords, and pagination for precise restaurant datasets.
XCrawl

No-Code Scraping (Für Ops- & Growth-Teams)

Use our intuitive dashboard for visual scraping setup without writing code.

  • XCrawl
    Visual Selector
    Point-and-click to select restaurant data fields for easy extraction restaurant workflows.
  • XCrawl
    Automated Scheduling
    Set cron jobs to refresh ubereats data and restaurant datasets on autopilot.
  • XCrawl
    CSV/Excel Exports
    Download ready-to-use restaurants dataset files directly for analysis tools like Excel or BI.

Code-Beispiele

Rufen Sie UberEats Restaurant Listings Scraper API Beiträge und Autoreninformationen in Sekunden mit einem einfachen API-Aufruf ab.

Eingabe
Shell
curl -X POST https://xcrawl.com -H "Authorization: YOU_TOKEN" -H "Content-Type: application/json" -d "{\"geo\":\"US\",\"context\":{\"keyword_list\":[{\"keyword\":\"Apple\"}],\"start_page\":1,\"pages\":1},\"source\":\"amazon_search\"}"
Ausgabe
Json
{
"result":[
{
"content":{
"url":"https://www.amazon.com/s?k=Apple&page=1"
"page":1
"query":"Apple"
"results":{
"organic":[
{
"pos":1
"url":"https://www.amazon.com/sspa/click?ie=UTF8&spc=MTo1NTU4MDIyNzE4MTQ0NDk1OjE3NjM0NDg1NjM6c3BfYXRmOjMwMDg0MTIyMDE1MTYwMjo6MDo6&url=%2FApple-11-inch-Intelligence-Display-All-Day%2Fdp%2FB0DZ73HCJZ%2Fref%3Dsr_1_1_sspa%3Fdib%3DeyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs%26dib_tag%3Dse%26keywords%3DApple%26qid%3D1763448563%26sr%3D8-1-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"
"asin":"B0DZ73HCJZ"
"price":499.99
"title":"SponsoredSponsored You’re seeing this ad based on the product’s relevance to your search query.Leave ad feedback AppleiPad Air 11-inch with M3 chip Built for Apple Intelligence, Liquid Retina Display, 128GB, 12MP Front/Back Camera, Wi-Fi 6E, Touch ID, All-Day Battery Life — Purple"
"rating":4.8
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71b-vc2xzlL._AC_UY218_.jpg"
"best_seller":false
"price_upper":499.99
"is_sponsored":false
"sales_volume":"1K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":599
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":2
"url":"https://www.amazon.com/sspa/click?ie=UTF8&spc=MTo1NTU4MDIyNzE4MTQ0NDk1OjE3NjM0NDg1NjM6c3BfYXRmOjMwMDg0MTI5NzA2MjkwMjo6MDo6&url=%2FApple-Bluetooth-Headphones-Personalized-Effortless%2Fdp%2FB0DGHMNQ5Z%2Fref%3Dsr_1_2_sspa%3Fdib%3DeyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs%26dib_tag%3Dse%26keywords%3DApple%26qid%3D1763448563%26sr%3D8-2-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"
"asin":"B0DGHMNQ5Z"
"price":117
"title":"SponsoredSponsored You’re seeing this ad based on the product’s relevance to your search query.Leave ad feedback AppleAirPods 4 Wireless Earbuds, Bluetooth Headphones, Personalized Spatial Audio, Sweat and Water Resistant, USB-C Charging Case, H2 Chip, Up to 30 Hours of Battery Life, Effortless Setup for iPhone"
"rating":4.5
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61iBtxCUabL._AC_UY218_.jpg"
"best_seller":false
"price_upper":117
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":129
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":3
"url":"https://www.amazon.com/Apple-MX542LL-A-AirTag-Pack/dp/B0D54JZTHY/ref=sr_1_3?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-3"
"asin":"B0D54JZTHY"
"price":79.98
"title":"AppleAirTag 4 Pack. Keep Track of and find Your Keys, Wallet, Luggage, Backpack, and More. Simple one-tap Set up with iPhone or iPad"
"rating":4.7
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61bMNCeAUAL._AC_UY218_.jpg"
"best_seller":false
"price_upper":79.98
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":99
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":4
"url":"https://www.amazon.com/Apple-MX532LL-A-AirTag/dp/B0CWXNS552/ref=sr_1_4?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-4"
"asin":"B0CWXNS552"
"price":17.97
"title":"AppleAirTag. Keep Track of and find Your Keys, Wallet, Luggage, Backpack, and More. Simple one-tap Set up with iPhone or iPad"
"rating":4.7
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71rP7f78eFL._AC_UY218_.jpg"
"best_seller":false
"price_upper":17.97
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":29
"shipping_information":"FREE delivery Sun, Nov 23 on $35 of items shipped by AmazonOr fastest delivery Tomorrow, Nov 19"
},
{
"pos":5
"url":"https://www.amazon.com/Apple-iPad-Pro-13-inch-M5/dp/B0FWCXMR3W/ref=sr_1_5?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-5"
"asin":"B0FWCXMR3W"
"price":2499
"title":"AppleiPad Pro 13-inch (M5): Ultra Retina XDR Display, 2TB, 12MP Front/Back Camera, LiDAR Scanner, Wi-Fi 7 with Apple N1 + 5G Cellular with C1X chip, Face ID, All-Day Battery Life — Space Black"
"rating":4.6
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/715V3wbnD6L._AC_UY218_.jpg"
"best_seller":false
"price_upper":2499
"is_sponsored":false
"sales_volume":null
"pricing_count":1
"reviews_count":16
"is_amazons_choice":false
"price_strikethrough":""
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Thu, Nov 20"
},
{
"pos":6
"url":"https://www.amazon.com/Apple-Cancellation-Translation-Headphones-High-Fidelity/dp/B0FQFB8FMG/ref=sr_1_6?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-6"
"asin":"B0FQFB8FMG"
"price":249
"title":"AppleAirPods Pro 3 Wireless Earbuds, Active Noise Cancellation, Live Translation, Heart Rate Sensing, Hearing Aid Feature, Bluetooth Headphones, Spatial Audio, High-Fidelity Sound, USB-C Charging"
"rating":4.4
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61solmQSSlL._AC_UY218_.jpg"
"best_seller":false
"price_upper":249
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":""
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":7
"url":"https://www.amazon.com/Apple-2025-MacBook-13-inch-Laptop/dp/B0DZD9S5GC/ref=sr_1_7?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-7"
"asin":"B0DZD9S5GC"
"price":749.99
"title":"Apple2025 MacBook Air 13-inch Laptop with M4 chip: Built for Apple Intelligence, 13.6-inch Liquid Retina Display, 16GB Unified Memory, 256GB SSD Storage, 12MP Center Stage Camera, Touch ID; Midnight"
"rating":4.8
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71cWZUr9SVL._AC_UY218_.jpg"
"best_seller":false
"price_upper":749.99
"is_sponsored":false
"sales_volume":null
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":999
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":8
"url":"https://www.amazon.com/Apple-Headphones-Cancellation-Transparency-Personalized/dp/B0DGJ7HYG1/ref=sr_1_8?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-8"
"asin":"B0DGJ7HYG1"
"price":148.99
"title":"AppleAirPods 4 Wireless Earbuds, Bluetooth Headphones, with Active Noise Cancellation, Adaptive Audio, Transparency Mode, Personalized Spatial Audio, USB-C Charging Case, Wireless Charging, H2 Chip"
"rating":4.5
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61iBtxCUabL._AC_UY218_.jpg"
"best_seller":false
"price_upper":148.99
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":179
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
],
"amazons_choices":[
],
},
},
},
],
},

So funktioniert die UberEats Restaurant Listings Scraper API Scraper API

  • XCrawlIntelligente IP-Rotation
  • XCrawlAutomatische CAPTCHA-Erkennung
  • XCrawlHTTP-Header
  • XCrawlAutomatische Webseiten-Analyse
  • XCrawlAnpassbarer Support

Was kann unsere API für Sie tun?

XCrawl

Proxy-Management

ML-basierte Proxy-Auswahl und -Rotation – mit unserem Premium-Proxy-Pool aus 190 Ländern.

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KI-gesteuertes Fingerprinting

Einzigartige HTTP-Header, JavaScript- und Browser-Fingerprints sorgen für Widerstandsfähigkeit gegenüber dynamischen Inhalten.

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CAPTCHA-Umgehung

Automatische Wiederholung und CAPTCHA-Umgehung für eine unterbrechungsfreie Datengewinnung.

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Massendatenextraktion

Extrahieren Sie Daten gleichzeitig von mehreren Seiten – mit bis zu 10.000 URLs pro Durchgang.

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Mehrere Bereitstellungsoptionen

Empfangen Sie Daten über Cloudspeicher wie SFTP oder AWSS3 oder rufen Sie Ergebnisse per API ab.

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Geplantes Scraping

Stellen Sie die gewünschte Frequenz für automatisierte, zeitgesteuerte Datenerhebung ein. Ergebnisse werden direkt an Ihren Cloud-Speicher geliefert.

XCrawl

Wartungsfreie Infrastruktur

Vermeiden Sie Proxy-Wartung und Infrastrukturaufwand. Sie müssen kein eigenes Crawling-System bauen.

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Leicht integrierbar und anpassbar.

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Erhalten Sie professionellen Support bei Fragen oder Problemen.

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Transparente Web-Scraping-Preise mit flexiblen API-Abonnement-Plänen. Vergleichen Sie Datenextraktionskosten, kaufen Sie Crawler-Zugang und starten Sie kostenlos — dann skalieren Sie nach Bedarf.

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Was sagen unsere Kunden?

★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

Alex Rivera
Alex Rivera
Data Engineer
★★★★★
4.9

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

Sarah Kim
Sarah Kim
Product Manager
★★★★★
5.0

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

Alex Rivera
Alex Rivera
Data Engineer
★★★★★
4.9

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

Sarah Kim
Sarah Kim
Product Manager
★★★★★
5.0

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

Alex Rivera
Alex Rivera
Data Engineer
★★★★★
4.9

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

Sarah Kim
Sarah Kim
Product Manager
★★★★★
5.0

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

Alex Rivera
Alex Rivera
Data Engineer
★★★★★
4.9

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

Sarah Kim
Sarah Kim
Product Manager
★★★★★
5.0

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
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XCrawlISO 27001
CDPR
XCrawlCDPR
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XCrawlVon Nutzern am besten bewertet
Leader
XCrawlLeader
Am einfachsten zu nutzen
XCrawlAm einfachsten zu nutzen
Best Value Award
XCrawlBest Value Award

Häufig gestellte Fragen

Alles, was Sie über XCrawl wissen müssen.

How does the UberEats Restaurant Listings Scraper API architecture work?
It uses distributed crawlers with proxy pools to fetch, parse, and structure public UberEats pages into JSON via REST endpoints, handling anti-bot measures automatically.
What factors determine the pricing model?
Pricing scales by API credits consumed, based on data volume, request frequency, and scraper complexity—pay only for successful restaurant dataset extractions.
What is the data coverage and any limitations?
Full coverage of public UberEats restaurant listings, menus, and reviews in supported regions; excludes private user data or dynamic JS-heavy elements.
Is the scraping legal and compliant?
We scrape only publicly available data from UberEats, adhering to robots.txt and terms where possible—users should ensure their own compliance for restaurant extraction.
What integration support is available?
SDKs for Python/Node.js, detailed docs, Postman collections, and 24/7 support for ubereats api setup and custom restaurant datasets.

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