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XCrawlРешенияUberEats Restaurant Listings Scraper API

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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Что можно построить с помощью UberEats Restaurant Listings Scraper API Scraper?

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.

Доверие дата-ориентированных команд по всему миру

Используется в аналитике, исследованиях, мониторинге и growth-командах.

XCrawl

Доступные UberEats Restaurant Listings Scraper API скраперы

Получайте самые востребованные типы данных UberEats Restaurant Listings Scraper API — всегда структурированные, единообразные и готовы к работе.

restaurant dataset

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

Метод скрапинга:
  • 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.

Метод скрапинга:
  • 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.

Метод скрапинга:
  • 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.

Метод скрапинга:
  • 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.

Метод скрапинга:
  • 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.

Метод скрапинга:
  • extraction_id
  • name_slug
  • street_address
  • score
  • review_snippets
  • specials
  • vehicle_type
  • profile_photo

Методы обхода UberEats Restaurant Listings Scraper API

XCrawl

API-скрапинг (для разработчиков)

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 скрапинг (для Ops и growth команд)

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.

Примеры кода

Получайте публикации UberEats Restaurant Listings Scraper API и данные об авторах за секунды с помощью простого API-запроса.

Ввод
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\"}"
Результат
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":[
],
},
},
},
],
},

Как работает Scraper API для UberEats Restaurant Listings Scraper API?

  • XCrawlИнтеллектуальная ротация IP
  • XCrawlАвтоматическое распознавание CAPTCHA
  • XCrawlHTTP-заголовки
  • XCrawlАвтоматический парсинг страниц
  • XCrawlИндивидуальная поддержка

Что может наш API для вас?

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Управление прокси

ML-выбор и ротация прокси на основе нашего премиум-пула из 190 стран.

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AI-генерация отпечатков браузера

Уникальные HTTP-заголовки, JavaScript и отпечатки браузера позволяют эффективно противостоять динамическому контенту.

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Обход CAPTCHA

Автоматические повторы и обход CAPTCHA для бесперебойного получения данных.

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Массовое извлечение данных

Собирайте данные одновременно с нескольких страниц — до 10 000 URL за партию.

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Разные варианты доставки

Получайте данные через облачное хранилище (например, SFTP или AWSS3) либо через API.

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Планировщик скрапинга

Настраивайте частоту автоматического сбора данных, результат будет оперативно доставлен в облако.

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Инфраструктура без технических забот

Забудьте о ручном обслуживании прокси и построении собственной инфраструктуры скрапинга.

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Легко масштабируется

Простая интеграция и настройка под ваши задачи.

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Поддержка 24/7

Профессиональная помощь в случае вопросов или проблем.

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Гибкая оплата

Прозрачные цены веб-скрапинга с гибкими планами подписки API. Сравнивайте стоимость извлечения данных, покупайте доступ к краулеру и начинайте бесплатно — затем масштабируйтесь по мере роста.

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Что говорят наши клиенты?

★★★★★
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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XCrawlCDPR
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XCrawlЛучший по отзывам пользователей
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Самый удобный
XCrawlСамый удобный
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XCrawlЛучшая выгода

Часто задаваемые вопросы

Всё, что нужно знать о XCrawl.

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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