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Guru Navi Restaurant Scraper API

The Guru Navi Restaurant Scraper API delivers precise restaurant extraction and comprehensive restaurant datasets for backend developers. Bypass parsing complexities, IP blocks, and anti-bot measures to access structured data on menus, reviews, ratings, and locations via a robust restaurant crawler interface.

無料トライアル開始
営業に問い合わせ

Guru Navi Restaurant Scraper API スクレーパーで何が作れる?

Build dynamic restaurant datasets for market analysis, automate restaurant extraction for competitive intelligence on pricing and menus, and power restaurant crawlers for real-time monitoring of top-rated spots and trends across Guru Navi listings.

XCrawl

Structured JSON Datasets

Extract restaurant datasets in clean JSON format, perfect for Python scripts or database ingestion with high accuracy and real-time delivery.

XCrawl

Scalable Restaurant Crawler

Handle massive restaurant extraction volumes without rate limits, using async requests for efficient, enterprise-grade data pipelines.

XCrawl

Anti-Block Technology

Smart proxy rotation and fingerprinting ensure uninterrupted restaurant datasets scraping from Guru Navi, even under heavy usage.

XCrawl

Instant API Integration

RESTful endpoints deliver restaurants dataset data in seconds, with SDKs for seamless Node.js and Python developer workflows.

データ主導チームに世界中で利用されています

分析、調査、モニタリング、成長ワークフローで多用されています。

XCrawl

利用可能なGuru Navi Restaurant Scraper APIスクレーパー一覧

最も一般的なGuru Navi Restaurant Scraper APIデータタイプにアクセス。完全構造化・統一フォーマット、商用利用も即可能。

restaurant dataset

Comprehensive endpoint for full Guru Navi listings including profiles, menus, and metrics.

スクレイピング方式:
  • restaurant_id
  • name
  • address
  • rating
  • review_count
  • cuisine_type
  • images
  • phone

restaurant datasets

Bulk extraction tool for multiple restaurant datasets with search and category filtering.

スクレイピング方式:
  • name
  • location
  • average_price
  • opening_hours
  • photos
  • menu_items
  • latitude
  • longitude

restaurants dataset

Targeted scraper for aggregated restaurants dataset from top categories and best-sellers.

スクレイピング方式:
  • restaurant_name
  • rank
  • score
  • total_reviews
  • featured_image
  • tags
  • url

restaurant crawler

Automated crawler for ongoing restaurant dataset monitoring and updates.

スクレイピング方式:
  • id
  • title
  • description
  • pricing_range
  • user_ratings
  • comments_count
  • media_urls

extraction restaurant

Precise endpoint for single restaurant extraction with deep details.

スクレイピング方式:
  • business_name
  • contact_info
  • menu_details
  • review_summary
  • engagement_metrics
  • videos
  • branches

restaurant extraction

Advanced restaurant extraction for reviews, photos, and historical data.

スクレイピング方式:
  • name
  • verified_reviews
  • price_history
  • seller_info
  • threaded_comments
  • star_rating
  • visit_count

Guru Navi Restaurant Scraper API クロール手法

XCrawl

APIスクレイピング(開発者向け)

Seamlessly integrate the Guru Navi Restaurant Scraper API via REST endpoints for programmatic restaurant extraction.

  • XCrawl
    Python SDK Ready
    Use our official Python library for quick restaurant dataset pulls with async support and error handling.
  • XCrawl
    Node.js Compatibility
    Effortless Node.js integration for high-throughput restaurant crawlers and real-time data streams.
  • XCrawl
    Custom Parameters
    Fine-tune queries for targeted restaurant extraction with filters, pagination, and geo-specific options.
XCrawl

ノーコードスクレイピング(業務・成長チーム向け)

Leverage our no-code dashboard for instant restaurant datasets without writing a single line of code.

  • XCrawl
    Visual Data Selector
    Point-and-click to select fields from Guru Navi pages for custom restaurant extraction workflows.
  • XCrawl
    Automated Scheduling
    Set up recurring crawls for fresh restaurants dataset updates on your preferred cadence.
  • XCrawl
    CSV/Excel Exports
    Download structured restaurant datasets directly in CSV, Excel, or JSON for easy analysis.

コードサンプル

APIコールだけで数秒でGuru Navi Restaurant Scraper API投稿や著者情報を取得。

入力
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\"}"
出力
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":[
],
},
},
},
],
},

Guru Navi Restaurant Scraper API スクレーパーAPIの仕組み

  • XCrawlインテリジェントIPローテーション
  • XCrawl自動CAPTCHA認識
  • XCrawlHTTPヘッダー
  • XCrawl自動Webページ解析
  • XCrawlカスタマイズ可能なサポート

APIでできること

XCrawl

プロキシ管理

190か国対応の高品質プロキシプールをMLで最適選択&自動ローテート。

XCrawl

AI主導の指紋対策

独自HTTPヘッダー・JS・ブラウザ指紋で動的コンテンツにも強い対策。

XCrawl

CAPTCHAバイパス

自動リトライ & CAPTCHA回避でデータ取得中断なし。

XCrawl

バルクデータ抽出

最大1万URL/バッチで複数ページ同時抽出も可能。

XCrawl

多様な納品方法

SFTPやAWSS3といったクラウドストレージ経由やAPI経由納品に対応。

XCrawl

定期スクレイピング

好きな頻度で自動・カスタムスクレイピング&クラウドダイレクト納品。

XCrawl

インフラ不要

プロキシやインフラ管理の手間不要。独自クローラー構築不要。

XCrawl

高い拡張性

カスタマイズにも柔軟に対応、簡単統合。

XCrawl

24時間サポート

いつでも質問やトラブルにプロが対応。

XCrawl 透明性

柔軟な価格設定

透明なWebスクレイピング価格設定と柔軟なAPIサブスクリプションプラン。データ抽出コストを比較し、クローラーアクセスを購入して無料で開始 — その後、成長に応じて拡張。

月額
年額 注目

スケールプラン

より高いパワーと専任サポートが必要なチーム向け大規模プラン。

より高いレート制限・同時実行数・優先サポートが利用可能です。

営業に問い合わせ
エンタープライズカスタマイズも可能

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お客様の声

★★★★★
5.0

The restaurant dataset extraction is flawless—structured JSON perfect for our analytics pipeline.

Alex Chen
Alex Chen
Data Engineer
★★★★★
4.9

Built comprehensive restaurant datasets effortlessly; fast scraping saved us weeks of dev time.

Maria Lopez
Maria Lopez
Product Manager
★★★★★
5.0

Restaurant crawler integration was seamless in Python—dataset quality exceeds expectations.

Raj Patel
Raj Patel
CTO
★★★★★
4.8

Accurate restaurant extraction for competitor tracking; real-time data transformed our reports.

Sarah Kim
Sarah Kim
Market Analyst
★★★★★
5.0

Restaurants dataset API handles scale perfectly—no more manual scraping hassles.

David Wong
David Wong
Backend Developer
★★★★★
4.9

Easy restaurant datasets setup via dashboard; exports are spot-on for our campaigns.

Emma Rossi
Emma Rossi
Growth Hacker
★★★★★
5.0

Restaurant extraction precision fuels our ML models—highly recommend for datasets.

Liam Nguyen
Liam Nguyen
AI Researcher
★★★★★
4.7

Reliable restaurant crawler for daily pulls; integration was a breeze.

Olivia Grant
Olivia Grant
Ops Lead
★★★★★
5.0

Transformed our app with fresh restaurant datasets—speed and accuracy are unmatched.

Carlos Mendes
Carlos Mendes
Founder
★★★★★
4.9

Restaurant extraction API delivers clean data every time; essential for our insights.

Nina Sokolov
Nina Sokolov
Senior Analyst
★★★★★
5.0

The restaurant dataset extraction is flawless—structured JSON perfect for our analytics pipeline.

Alex Chen
Alex Chen
Data Engineer
★★★★★
4.9

Built comprehensive restaurant datasets effortlessly; fast scraping saved us weeks of dev time.

Maria Lopez
Maria Lopez
Product Manager
★★★★★
5.0

Restaurant crawler integration was seamless in Python—dataset quality exceeds expectations.

Raj Patel
Raj Patel
CTO
★★★★★
4.8

Accurate restaurant extraction for competitor tracking; real-time data transformed our reports.

Sarah Kim
Sarah Kim
Market Analyst
★★★★★
5.0

Restaurants dataset API handles scale perfectly—no more manual scraping hassles.

David Wong
David Wong
Backend Developer
★★★★★
4.9

Easy restaurant datasets setup via dashboard; exports are spot-on for our campaigns.

Emma Rossi
Emma Rossi
Growth Hacker
★★★★★
5.0

Restaurant extraction precision fuels our ML models—highly recommend for datasets.

Liam Nguyen
Liam Nguyen
AI Researcher
★★★★★
4.7

Reliable restaurant crawler for daily pulls; integration was a breeze.

Olivia Grant
Olivia Grant
Ops Lead
★★★★★
5.0

Transformed our app with fresh restaurant datasets—speed and accuracy are unmatched.

Carlos Mendes
Carlos Mendes
Founder
★★★★★
4.9

Restaurant extraction API delivers clean data every time; essential for our insights.

Nina Sokolov
Nina Sokolov
Senior Analyst
★★★★★
5.0

The restaurant dataset extraction is flawless—structured JSON perfect for our analytics pipeline.

Alex Chen
Alex Chen
Data Engineer
★★★★★
4.9

Built comprehensive restaurant datasets effortlessly; fast scraping saved us weeks of dev time.

Maria Lopez
Maria Lopez
Product Manager
★★★★★
5.0

Restaurant crawler integration was seamless in Python—dataset quality exceeds expectations.

Raj Patel
Raj Patel
CTO
★★★★★
4.8

Accurate restaurant extraction for competitor tracking; real-time data transformed our reports.

Sarah Kim
Sarah Kim
Market Analyst
★★★★★
5.0

Restaurants dataset API handles scale perfectly—no more manual scraping hassles.

David Wong
David Wong
Backend Developer
★★★★★
4.9

Easy restaurant datasets setup via dashboard; exports are spot-on for our campaigns.

Emma Rossi
Emma Rossi
Growth Hacker
★★★★★
5.0

Restaurant extraction precision fuels our ML models—highly recommend for datasets.

Liam Nguyen
Liam Nguyen
AI Researcher
★★★★★
4.7

Reliable restaurant crawler for daily pulls; integration was a breeze.

Olivia Grant
Olivia Grant
Ops Lead
★★★★★
5.0

Transformed our app with fresh restaurant datasets—speed and accuracy are unmatched.

Carlos Mendes
Carlos Mendes
Founder
★★★★★
4.9

Restaurant extraction API delivers clean data every time; essential for our insights.

Nina Sokolov
Nina Sokolov
Senior Analyst
★★★★★
5.0

The restaurant dataset extraction is flawless—structured JSON perfect for our analytics pipeline.

Alex Chen
Alex Chen
Data Engineer
★★★★★
4.9

Built comprehensive restaurant datasets effortlessly; fast scraping saved us weeks of dev time.

Maria Lopez
Maria Lopez
Product Manager
★★★★★
5.0

Restaurant crawler integration was seamless in Python—dataset quality exceeds expectations.

Raj Patel
Raj Patel
CTO
★★★★★
4.8

Accurate restaurant extraction for competitor tracking; real-time data transformed our reports.

Sarah Kim
Sarah Kim
Market Analyst
★★★★★
5.0

Restaurants dataset API handles scale perfectly—no more manual scraping hassles.

David Wong
David Wong
Backend Developer
★★★★★
4.9

Easy restaurant datasets setup via dashboard; exports are spot-on for our campaigns.

Emma Rossi
Emma Rossi
Growth Hacker
★★★★★
5.0

Restaurant extraction precision fuels our ML models—highly recommend for datasets.

Liam Nguyen
Liam Nguyen
AI Researcher
★★★★★
4.7

Reliable restaurant crawler for daily pulls; integration was a breeze.

Olivia Grant
Olivia Grant
Ops Lead
★★★★★
5.0

Transformed our app with fresh restaurant datasets—speed and accuracy are unmatched.

Carlos Mendes
Carlos Mendes
Founder
★★★★★
4.9

Restaurant extraction API delivers clean data every time; essential for our insights.

Nina Sokolov
Nina Sokolov
Senior Analyst
ISO 27001
XCrawlISO 27001
CDPR
XCrawlCDPR
ユーザー高評価
XCrawlユーザー高評価
リーダー
XCrawlリーダー
使いやすさNo.1
XCrawl使いやすさNo.1
ベストバリュー賞
XCrawlベストバリュー賞

よくある質問

XCrawlについて知っておくべきすべて。

How does the Guru Navi Restaurant Scraper API architecture work?
It uses distributed crawlers with proxy pools to fetch, parse, and structure public Guru Navi data into JSON via simple REST API calls.
What factors determine the pricing model?
Pricing scales based on request volume, data freshness needs, concurrent scrapes, and storage for restaurant datasets.
What is the data coverage and any limitations?
Full coverage of public Guru Navi profiles, reviews, menus, and rankings; excludes private user data or login-walled content.
Is the service legal and compliant?
We scrape only publicly available data from Guru Navi, respecting robots.txt and terms; users ensure their own compliance.
What integration support is available?
SDKs for Python/Node.js, detailed docs, API playground, and Slack support for custom restaurant extraction setups.

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