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XCrawlРешенияJust Eat Restaurant Listing Scraper API

Just Eat Restaurant Listing Scraper API

The Just Eat Restaurant Listing Scraper API empowers developers to perform seamless restaurant extraction and build comprehensive restaurant datasets. Our restaurant crawler handles complex parsing challenges, delivering structured JSON data on listings, menus, ratings, and more without IP blocks or manual hassle.

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Что можно построить с помощью Just Eat Restaurant Listing Scraper API Scraper?

Create dynamic restaurant datasets for market analysis, enable competitor tracking with precise restaurant extraction from Just Eat, and power food delivery apps using restaurants dataset insights. Build recommendation engines, price monitoring tools, and location-based services effortlessly with our restaurant crawler capabilities.

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Structured Restaurant Datasets

Get clean JSON outputs with restaurant extraction data including menus, ratings, and locations for instant integration into Python scripts or databases.

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Real-Time Restaurant Crawler

Access fresh restaurants dataset via API endpoints, supporting high-volume queries with async requests for scalable data pipelines.

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Effortless Data Extraction

Just extract key fields like pricing and reviews from Just Eat listings, bypassing anti-bot measures for reliable restaurant datasets.

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Scalable Restaurant Extraction

Handle thousands of restaurant datasets daily with optimized endpoints, ensuring 99.9% uptime and JSON accuracy for enterprise needs.

Доверие дата-ориентированных команд по всему миру

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

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Доступные Just Eat Restaurant Listing Scraper API скраперы

Получайте самые востребованные типы данных Just Eat Restaurant Listing Scraper API — всегда структурированные, единообразные и готовы к работе.

restaurant extraction

Extract detailed profiles from Just Eat restaurant listings including menus and ratings.

Метод скрапинга:
  • restaurant_name
  • address
  • cuisine_type
  • rating
  • delivery_time
  • price_range
  • phone_number
  • images

restaurant dataset

Build complete datasets of restaurants with search and category filtering.

Метод скрапинга:
  • restaurant_id
  • name
  • location
  • rating
  • review_count
  • menu_count
  • delivery_fee
  • status

restaurant datasets

Aggregate multiple restaurant datasets for bulk analysis and export.

Метод скрапинга:
  • dataset_id
  • total_restaurants
  • cuisines
  • avg_rating
  • price_avg
  • geo_bounds
  • update_time

restaurants dataset

Crawl city-wide restaurants dataset with pagination and sorting options.

Метод скрапинга:
  • city
  • restaurant_list
  • total_results
  • next_page
  • filters_applied
  • engagement_metrics

restaurant crawler

Full-site restaurant crawler for ongoing monitoring of listings and changes.

Метод скрапинга:
  • crawl_id
  • start_time
  • end_time
  • records_extracted
  • errors
  • sample_data

just extract

Quick endpoint to just extract core restaurant data without full crawl.

Метод скрапинга:
  • name
  • rating
  • menu_items
  • prices
  • reviews_summary

Методы обхода Just Eat Restaurant Listing Scraper API

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API-скрапинг (для разработчиков)

Integrate via simple REST API endpoints for programmatic restaurant extraction.

  • XCrawl
    Python SDK Ready
    Use our Python client for async restaurant dataset pulls with minimal code.
  • XCrawl
    Node.js Compatible
    Leverage Node.js wrappers for high-throughput restaurant crawler operations.
  • XCrawl
    JSON-Native Responses
    Direct JSON streams ensure fast parsing of restaurants dataset.
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No-code скрапинг (для Ops и growth команд)

Use our intuitive dashboard for no-code restaurant extraction and scheduling.

  • XCrawl
    Visual Query Builder
    Select fields visually to generate custom restaurant datasets.
  • XCrawl
    Automated Scheduling
    Set cron jobs for daily restaurant crawler runs without scripting.
  • XCrawl
    CSV/Excel Exports
    Download restaurants dataset in multiple formats instantly.

Примеры кода

Получайте публикации Just Eat Restaurant Listing 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 Just Eat Restaurant Listing 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.

XCrawl Прозрачность

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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Получайте более высокие лимиты, больше одновременных браузеров и приоритетную поддержку.

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Что говорят наши клиенты?

★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our analytics pipeline. Fast scraping and easy integration!

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

Restaurant extraction just works. Built competitor tracking in days with accurate datasets.

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

Love the restaurant crawler—JSON outputs are clean, and it scales effortlessly for our needs.

Mike Patel
Mike Patel
Backend Developer
★★★★★
4.8

Restaurants dataset exports saved us weeks. Reliable and precise every time.

Emma Lopez
Emma Lopez
Growth Analyst
★★★★★
5.0

Just extract feature is a game-changer for quick restaurant datasets in prototypes.

David Chen
David Chen
CTO
★★★★★
4.9

Comprehensive restaurant extraction powers our reports with fresh data.

Lisa Wong
Lisa Wong
Market Researcher
★★★★★
5.0

Restaurant datasets are delivered fast and accurately—no more manual scraping headaches.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

The restaurant crawler handles volume perfectly for our dashboard feeds.

Nina Gupta
Nina Gupta
BI Analyst
★★★★★
5.0

Seamless API for restaurant extraction—integrated in hours with Python.

Raj Singh
Raj Singh
Full-Stack Engineer
★★★★★
4.9

Restaurants dataset quality boosted our decision-making process significantly.

Claire Dubois
Claire Dubois
Operations Manager
★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our analytics pipeline. Fast scraping and easy integration!

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

Restaurant extraction just works. Built competitor tracking in days with accurate datasets.

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

Love the restaurant crawler—JSON outputs are clean, and it scales effortlessly for our needs.

Mike Patel
Mike Patel
Backend Developer
★★★★★
4.8

Restaurants dataset exports saved us weeks. Reliable and precise every time.

Emma Lopez
Emma Lopez
Growth Analyst
★★★★★
5.0

Just extract feature is a game-changer for quick restaurant datasets in prototypes.

David Chen
David Chen
CTO
★★★★★
4.9

Comprehensive restaurant extraction powers our reports with fresh data.

Lisa Wong
Lisa Wong
Market Researcher
★★★★★
5.0

Restaurant datasets are delivered fast and accurately—no more manual scraping headaches.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

The restaurant crawler handles volume perfectly for our dashboard feeds.

Nina Gupta
Nina Gupta
BI Analyst
★★★★★
5.0

Seamless API for restaurant extraction—integrated in hours with Python.

Raj Singh
Raj Singh
Full-Stack Engineer
★★★★★
4.9

Restaurants dataset quality boosted our decision-making process significantly.

Claire Dubois
Claire Dubois
Operations Manager
★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our analytics pipeline. Fast scraping and easy integration!

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

Restaurant extraction just works. Built competitor tracking in days with accurate datasets.

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

Love the restaurant crawler—JSON outputs are clean, and it scales effortlessly for our needs.

Mike Patel
Mike Patel
Backend Developer
★★★★★
4.8

Restaurants dataset exports saved us weeks. Reliable and precise every time.

Emma Lopez
Emma Lopez
Growth Analyst
★★★★★
5.0

Just extract feature is a game-changer for quick restaurant datasets in prototypes.

David Chen
David Chen
CTO
★★★★★
4.9

Comprehensive restaurant extraction powers our reports with fresh data.

Lisa Wong
Lisa Wong
Market Researcher
★★★★★
5.0

Restaurant datasets are delivered fast and accurately—no more manual scraping headaches.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

The restaurant crawler handles volume perfectly for our dashboard feeds.

Nina Gupta
Nina Gupta
BI Analyst
★★★★★
5.0

Seamless API for restaurant extraction—integrated in hours with Python.

Raj Singh
Raj Singh
Full-Stack Engineer
★★★★★
4.9

Restaurants dataset quality boosted our decision-making process significantly.

Claire Dubois
Claire Dubois
Operations Manager
★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our analytics pipeline. Fast scraping and easy integration!

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

Restaurant extraction just works. Built competitor tracking in days with accurate datasets.

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

Love the restaurant crawler—JSON outputs are clean, and it scales effortlessly for our needs.

Mike Patel
Mike Patel
Backend Developer
★★★★★
4.8

Restaurants dataset exports saved us weeks. Reliable and precise every time.

Emma Lopez
Emma Lopez
Growth Analyst
★★★★★
5.0

Just extract feature is a game-changer for quick restaurant datasets in prototypes.

David Chen
David Chen
CTO
★★★★★
4.9

Comprehensive restaurant extraction powers our reports with fresh data.

Lisa Wong
Lisa Wong
Market Researcher
★★★★★
5.0

Restaurant datasets are delivered fast and accurately—no more manual scraping headaches.

Tom Harris
Tom Harris
DevOps Lead
★★★★★
4.7

The restaurant crawler handles volume perfectly for our dashboard feeds.

Nina Gupta
Nina Gupta
BI Analyst
★★★★★
5.0

Seamless API for restaurant extraction—integrated in hours with Python.

Raj Singh
Raj Singh
Full-Stack Engineer
★★★★★
4.9

Restaurants dataset quality boosted our decision-making process significantly.

Claire Dubois
Claire Dubois
Operations Manager
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Часто задаваемые вопросы

Всё, что нужно знать о XCrawl.

How does the Just Eat Restaurant Listing Scraper API work?
Send REST requests to endpoints specifying queries; our restaurant crawler fetches, parses, and returns structured JSON restaurant datasets in seconds.
What factors determine pricing?
Pricing scales by API calls, data volume in restaurant extraction, concurrency, and premium features like real-time restaurant datasets.
What data coverage and limitations apply?
Full coverage of public Just Eat listings, menus, and reviews across regions; excludes private user data or dynamic paywalled content.
Is this legal and compliant?
We scrape only publicly available data from Just Eat, respecting robots.txt and rate limits—always consult legal for your restaurant extraction use.
What integration support is available?
SDKs for Python/Node.js, comprehensive docs, and support for webhook integrations to streamline restaurant dataset workflows.

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