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XCrawlРешенияHot Pepper Restaurant Listing Scraper API

Hot Pepper Restaurant Listing Scraper API

XCrawl's Hot Pepper Restaurant Listing Scraper API revolutionizes restaurant extraction by delivering structured restaurant datasets from Hot Pepper's vast listings. Bypass parsing headaches and IP blocks effortlessly with our robust restaurant crawler, providing instant JSON access to comprehensive restaurants dataset for seamless integration into your apps.

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Что можно построить с помощью Hot Pepper Restaurant Listing Scraper API Scraper?

Build dynamic restaurant dataset analytics platforms using our restaurant extraction tools for market insights. Create competitive intelligence dashboards with hot extract capabilities tracking top listings. Develop review aggregation services leveraging restaurant datasets to analyze trends and customer sentiments across Hot Pepper.

XCrawl

Instant JSON Delivery

Get clean, structured restaurant datasets in JSON format from Hot Pepper, ready for Python or Node.js processing without manual parsing.

XCrawl

Scalable Restaurant Crawler

Handle millions of restaurant extraction requests with auto-scaling infrastructure, ensuring high-volume restaurants dataset pulls remain reliable.

XCrawl

Real-time Data Updates

Access fresh hot extract data on-demand or via webhooks, perfect for live restaurant dataset monitoring and alerting systems.

XCrawl

CAPTCHA-Free Extraction

Our advanced restaurant crawler evades anti-bot measures, delivering accurate extraction restaurant results every time.

Доверие дата-ориентированных команд по всему миру

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

XCrawl

Доступные Hot Pepper Restaurant Listing Scraper API скраперы

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

restaurant dataset

Extract full Hot Pepper listings into structured restaurant datasets for bulk analysis.

Метод скрапинга:
  • restaurant_id
  • name
  • address
  • rating
  • review_count
  • price_range
  • cuisine_type
  • images

restaurant extraction

Targeted endpoint for precise restaurant extraction from search results and categories.

Метод скрапинга:
  • name
  • phone
  • opening_hours
  • menu_items
  • average_price
  • location_lat
  • location_lng

extraction restaurant

Single restaurant extraction with deep details like menus and photos via ID lookup.

Метод скрапинга:
  • restaurant_id
  • description
  • images
  • videos
  • seat_capacity
  • budget_range

restaurants dataset

Batch restaurants dataset generation from keyword searches on Hot Pepper.

Метод скрапинга:
  • search_keyword
  • ranking
  • name
  • distance
  • rating
  • review_snippets

restaurant crawler

Automated restaurant crawler for ongoing monitoring of listings and changes.

Метод скрапинга:
  • crawl_timestamp
  • name
  • status
  • price_history
  • new_reviews
  • url

hot extract

High-speed hot extract for top-rated or featured Hot Pepper restaurants.

Метод скрапинга:
  • featured_status
  • name
  • score
  • awards
  • media_urls
  • contact_info

Методы обхода Hot Pepper Restaurant Listing Scraper API

XCrawl

API-скрапинг (для разработчиков)

Integrate via simple REST API endpoints for full control in your developer workflows.

  • XCrawl
    Python SDK
    Use our official Python client for async restaurant extraction and dataset handling.
  • XCrawl
    Node.js Support
    Seamless Node.js integration with promises for scalable restaurant crawler tasks.
  • XCrawl
    Custom Parameters
    Fine-tune queries with geo-filters and pagination for precise restaurants dataset.
XCrawl

No-code скрапинг (для Ops и growth команд)

Use our intuitive dashboard for no-code restaurant dataset creation and management.

  • XCrawl
    Visual Query Builder
    Select fields and filters visually for instant restaurant extraction previews.
  • XCrawl
    Automated Scheduling
    Set cron jobs for recurring hot extract runs without coding.
  • XCrawl
    CSV/Excel Exports
    Download clean restaurants dataset in multiple formats for easy sharing.

Примеры кода

Получайте публикации Hot Pepper 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 Hot Pepper Restaurant Listing Scraper API?

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

Что может наш API для вас?

XCrawl

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.

XCrawl

Планировщик скрапинга

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

XCrawl

Инфраструктура без технических забот

Забудьте о ручном обслуживании прокси и построении собственной инфраструктуры скрапинга.

XCrawl

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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Тарифы для масштабирования

Тарифы для больших объёмов и команд с высокими требованиями и поддержкой.

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

Связаться с отделом продаж
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Что говорят наши клиенты?

★★★★★
5.0

XCrawl's restaurant dataset scraper transformed our analytics pipeline—fast, accurate extraction restaurant data every time.

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

Perfect for building competitor trackers; the restaurants dataset quality is unmatched.

Mia Chen
Mia Chen
Product Manager
★★★★★
5.0

Easy Python integration with our restaurant crawler—delivers reliable hot extract results.

Jordan Patel
Jordan Patel
Backend Developer
★★★★★
4.8

Saved weeks of work on restaurant extraction; datasets are clean and ready-to-use.

Sophia Lee
Sophia Lee
Growth Analyst
★★★★★
5.0

Scalable restaurant datasets at scale—highly recommend for any Hot Pepper needs.

Ethan Kim
Ethan Kim
CTO
★★★★★
4.9

Restaurant crawler handles everything; fast scraping and top-notch dataset quality.

Luna Garcia
Luna Garcia
Marketing Lead
★★★★★
5.0

Seamless API for extraction restaurant tasks—no more manual scraping headaches.

Noah Singh
Noah Singh
DevOps Engineer
★★★★★
4.7

Rich restaurants dataset fueled our insights; integration was a breeze.

Ava Wong
Ava Wong
BI Analyst
★★★★★
5.0

Hot extract speed and accuracy blew us away—best restaurant dataset tool.

Liam Torres
Liam Torres
Founder
★★★★★
4.9

Robust restaurant extraction for ML models; consistent and high-quality data.

Emma Novak
Emma Novak
Data Scientist
★★★★★
5.0

XCrawl's restaurant dataset scraper transformed our analytics pipeline—fast, accurate extraction restaurant data every time.

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

Perfect for building competitor trackers; the restaurants dataset quality is unmatched.

Mia Chen
Mia Chen
Product Manager
★★★★★
5.0

Easy Python integration with our restaurant crawler—delivers reliable hot extract results.

Jordan Patel
Jordan Patel
Backend Developer
★★★★★
4.8

Saved weeks of work on restaurant extraction; datasets are clean and ready-to-use.

Sophia Lee
Sophia Lee
Growth Analyst
★★★★★
5.0

Scalable restaurant datasets at scale—highly recommend for any Hot Pepper needs.

Ethan Kim
Ethan Kim
CTO
★★★★★
4.9

Restaurant crawler handles everything; fast scraping and top-notch dataset quality.

Luna Garcia
Luna Garcia
Marketing Lead
★★★★★
5.0

Seamless API for extraction restaurant tasks—no more manual scraping headaches.

Noah Singh
Noah Singh
DevOps Engineer
★★★★★
4.7

Rich restaurants dataset fueled our insights; integration was a breeze.

Ava Wong
Ava Wong
BI Analyst
★★★★★
5.0

Hot extract speed and accuracy blew us away—best restaurant dataset tool.

Liam Torres
Liam Torres
Founder
★★★★★
4.9

Robust restaurant extraction for ML models; consistent and high-quality data.

Emma Novak
Emma Novak
Data Scientist
★★★★★
5.0

XCrawl's restaurant dataset scraper transformed our analytics pipeline—fast, accurate extraction restaurant data every time.

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

Perfect for building competitor trackers; the restaurants dataset quality is unmatched.

Mia Chen
Mia Chen
Product Manager
★★★★★
5.0

Easy Python integration with our restaurant crawler—delivers reliable hot extract results.

Jordan Patel
Jordan Patel
Backend Developer
★★★★★
4.8

Saved weeks of work on restaurant extraction; datasets are clean and ready-to-use.

Sophia Lee
Sophia Lee
Growth Analyst
★★★★★
5.0

Scalable restaurant datasets at scale—highly recommend for any Hot Pepper needs.

Ethan Kim
Ethan Kim
CTO
★★★★★
4.9

Restaurant crawler handles everything; fast scraping and top-notch dataset quality.

Luna Garcia
Luna Garcia
Marketing Lead
★★★★★
5.0

Seamless API for extraction restaurant tasks—no more manual scraping headaches.

Noah Singh
Noah Singh
DevOps Engineer
★★★★★
4.7

Rich restaurants dataset fueled our insights; integration was a breeze.

Ava Wong
Ava Wong
BI Analyst
★★★★★
5.0

Hot extract speed and accuracy blew us away—best restaurant dataset tool.

Liam Torres
Liam Torres
Founder
★★★★★
4.9

Robust restaurant extraction for ML models; consistent and high-quality data.

Emma Novak
Emma Novak
Data Scientist
★★★★★
5.0

XCrawl's restaurant dataset scraper transformed our analytics pipeline—fast, accurate extraction restaurant data every time.

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

Perfect for building competitor trackers; the restaurants dataset quality is unmatched.

Mia Chen
Mia Chen
Product Manager
★★★★★
5.0

Easy Python integration with our restaurant crawler—delivers reliable hot extract results.

Jordan Patel
Jordan Patel
Backend Developer
★★★★★
4.8

Saved weeks of work on restaurant extraction; datasets are clean and ready-to-use.

Sophia Lee
Sophia Lee
Growth Analyst
★★★★★
5.0

Scalable restaurant datasets at scale—highly recommend for any Hot Pepper needs.

Ethan Kim
Ethan Kim
CTO
★★★★★
4.9

Restaurant crawler handles everything; fast scraping and top-notch dataset quality.

Luna Garcia
Luna Garcia
Marketing Lead
★★★★★
5.0

Seamless API for extraction restaurant tasks—no more manual scraping headaches.

Noah Singh
Noah Singh
DevOps Engineer
★★★★★
4.7

Rich restaurants dataset fueled our insights; integration was a breeze.

Ava Wong
Ava Wong
BI Analyst
★★★★★
5.0

Hot extract speed and accuracy blew us away—best restaurant dataset tool.

Liam Torres
Liam Torres
Founder
★★★★★
4.9

Robust restaurant extraction for ML models; consistent and high-quality data.

Emma Novak
Emma Novak
Data Scientist
ISO 27001
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CDPR
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Лучший по отзывам пользователей
XCrawlЛучший по отзывам пользователей
Лидер
XCrawlЛидер
Самый удобный
XCrawlСамый удобный
Лучшая выгода
XCrawlЛучшая выгода

Часто задаваемые вопросы

Всё, что нужно знать о XCrawl.

How does the Hot Pepper Restaurant Listing Scraper API work?
Send REST requests to endpoints with parameters like keywords or IDs; our restaurant crawler fetches, parses, and returns structured JSON restaurant datasets instantly.
What factors determine pricing?
Pricing scales by API calls, data volume, and frequency; starts free for testing, with tiers based on monthly restaurant extraction volume.
What Hot Pepper data is covered and any limitations?
Full coverage of public listings, reviews, menus, and search results; excludes private user data or real-time reservations.
Is this compliant and legal?
We scrape only publicly available data from Hot Pepper, adhering to robots.txt and terms; always consult legal for your use case.
What integration support is available?
SDKs for Python/Node.js, full docs, and support team for custom restaurant dataset pipelines or troubleshooting.

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