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Uber Eats Restaurant Listing Scraper API

XCrawl's Uber Eats Restaurant Listing Scraper API delivers structured restaurant datasets from Uber Eats effortlessly. Bypass IP blocks and parsing complexities to extract restaurant details, menus, ratings, and locations via a reliable API. Ideal for restaurant extraction, restaurant crawler tasks, and building comprehensive uber eats datasets without technical headaches.

無料トライアル開始
営業に問い合わせ

Uber Eats Restaurant Listing Scraper API スクレーパーで何が作れる?

Build dynamic restaurant datasets for market analysis using our restaurant extraction tools. Track competitor menus and pricing with precise uber eats dataset feeds. Power location-based apps and delivery analytics platforms leveraging restaurants dataset insights for growth and informed business decisions.

XCrawl

Instant Restaurant Extraction

Pull real-time restaurant data in JSON format, enabling seamless integration for restaurant dataset builds and automated workflows in Python or Node.js environments.

XCrawl

Scalable Dataset Delivery

Handle massive restaurants dataset volumes with async requests, ensuring high-throughput extraction restaurant operations without downtime or rate limits.

XCrawl

Precise Data Parsing

Advanced parsers deliver clean restaurant datasets, capturing menus, reviews, and metrics accurately for reliable uber eats dataset applications.

XCrawl

Proxy-Rotated Crawling

Enterprise-grade proxies power restaurant crawler functionality, evading blocks for uninterrupted restaurant extraction and dataset freshness.

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Uber Eats Restaurant Listing Scraper APIスクレーパー一覧

最も一般的なUber Eats Restaurant Listing 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 bulk Uber Eats restaurant listings with full profiles and metrics.

スクレイピング方式:
  • restaurant_name
  • address
  • rating
  • delivery_time
  • cuisine_types
  • menu_count
  • image_urls

restaurant datasets

Generate multiple restaurant datasets filtered by city, cuisine, or popularity rankings.

スクレイピング方式:
  • restaurant_id
  • phone
  • hours
  • price_range
  • review_count
  • top_menu_items
  • geo_coords

restaurants dataset

Search-based scraper yielding restaurants dataset from keyword or location queries.

スクレイピング方式:
  • search_query
  • rank
  • distance
  • popularity_score
  • avg_rating
  • promo_tags
  • delivery_fee

restaurant crawler

Automated crawler for ongoing restaurant dataset monitoring and updates.

スクレイピング方式:
  • crawl_timestamp
  • status
  • menu_prices
  • new_reviews
  • change_log
  • availability

restaurant extraction

Targeted extraction restaurant API for specific venue details and nested data.

スクレイピング方式:
  • extracted_at
  • owner_info
  • categories
  • specials
  • ratings_breakdown
  • media_links

uber eats dataset

Uber-specific endpoint for uber eats dataset including platform-unique fields.

スクレイピング方式:
  • uber_id
  • partner_status
  • fee_structure
  • order_volume
  • customer_ratings
  • banner_images

Uber Eats Restaurant Listing Scraper API クロール手法

XCrawl

APIスクレイピング(開発者向け)

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
    Streamline Node.js apps with promises-based calls for restaurant datasets.
  • XCrawl
    Webhook Callbacks
    Receive real-time notifications for completed restaurant crawler jobs.
XCrawl

ノーコードスクレイピング(業務・成長チーム向け)

Use our intuitive dashboard for visual scraping without writing a single line of code.

  • XCrawl
    Visual Selector
    Point-and-click to build custom restaurant extraction pipelines.
  • XCrawl
    Automated Scheduling
    Set cron jobs for recurring uber eats dataset refreshes.
  • XCrawl
    CSV/JSON Export
    Download ready-to-use restaurant datasets in multiple formats instantly.

コードサンプル

APIコールだけで数秒でUber Eats Restaurant Listing 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":[
],
},
},
},
],
},

Uber Eats Restaurant Listing 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 quality is outstanding—perfect for our market research. Fast and accurate every time!

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Integrated seamlessly; uber eats dataset feeds power our competitor tracking effortlessly.

Sarah Chen
Sarah Chen
CTO, FoodTech
★★★★★
4.8

Restaurant extraction saved us weeks of manual work. Highly reliable datasets.

Mike Patel
Mike Patel
Growth Manager
★★★★★
5.0

Restaurant crawler handles scale like a champ. No more proxy hassles.

Emma Lopez
Emma Lopez
DevOps Engineer
★★★★★
4.7

Restaurants dataset exports are clean and ready for BI tools. Game-changer!

David Kim
David Kim
Product Lead
★★★★★
4.9

Precise restaurant datasets for ML models. Integration was a breeze.

Lisa Wong
Lisa Wong
Data Scientist
★★★★★
5.0

Uber eats dataset accuracy boosted our app's features overnight.

Tom Harris
Tom Harris
Founder, Delivery App
★★★★★
4.8

Restaurant extraction endpoints are robust—love the JSON structure.

Rachel Green
Rachel Green
BI Analyst
★★★★★
4.9

Scales perfectly for our restaurant datasets needs. Top-notch API.

Kevin Singh
Kevin Singh
Backend Developer
★★★★★
5.0

Fresh restaurant crawler data drives our campaigns. Excellent service!

Nina Alvarez
Nina Alvarez
Marketing Director
★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our market research. Fast and accurate every time!

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Integrated seamlessly; uber eats dataset feeds power our competitor tracking effortlessly.

Sarah Chen
Sarah Chen
CTO, FoodTech
★★★★★
4.8

Restaurant extraction saved us weeks of manual work. Highly reliable datasets.

Mike Patel
Mike Patel
Growth Manager
★★★★★
5.0

Restaurant crawler handles scale like a champ. No more proxy hassles.

Emma Lopez
Emma Lopez
DevOps Engineer
★★★★★
4.7

Restaurants dataset exports are clean and ready for BI tools. Game-changer!

David Kim
David Kim
Product Lead
★★★★★
4.9

Precise restaurant datasets for ML models. Integration was a breeze.

Lisa Wong
Lisa Wong
Data Scientist
★★★★★
5.0

Uber eats dataset accuracy boosted our app's features overnight.

Tom Harris
Tom Harris
Founder, Delivery App
★★★★★
4.8

Restaurant extraction endpoints are robust—love the JSON structure.

Rachel Green
Rachel Green
BI Analyst
★★★★★
4.9

Scales perfectly for our restaurant datasets needs. Top-notch API.

Kevin Singh
Kevin Singh
Backend Developer
★★★★★
5.0

Fresh restaurant crawler data drives our campaigns. Excellent service!

Nina Alvarez
Nina Alvarez
Marketing Director
★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our market research. Fast and accurate every time!

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Integrated seamlessly; uber eats dataset feeds power our competitor tracking effortlessly.

Sarah Chen
Sarah Chen
CTO, FoodTech
★★★★★
4.8

Restaurant extraction saved us weeks of manual work. Highly reliable datasets.

Mike Patel
Mike Patel
Growth Manager
★★★★★
5.0

Restaurant crawler handles scale like a champ. No more proxy hassles.

Emma Lopez
Emma Lopez
DevOps Engineer
★★★★★
4.7

Restaurants dataset exports are clean and ready for BI tools. Game-changer!

David Kim
David Kim
Product Lead
★★★★★
4.9

Precise restaurant datasets for ML models. Integration was a breeze.

Lisa Wong
Lisa Wong
Data Scientist
★★★★★
5.0

Uber eats dataset accuracy boosted our app's features overnight.

Tom Harris
Tom Harris
Founder, Delivery App
★★★★★
4.8

Restaurant extraction endpoints are robust—love the JSON structure.

Rachel Green
Rachel Green
BI Analyst
★★★★★
4.9

Scales perfectly for our restaurant datasets needs. Top-notch API.

Kevin Singh
Kevin Singh
Backend Developer
★★★★★
5.0

Fresh restaurant crawler data drives our campaigns. Excellent service!

Nina Alvarez
Nina Alvarez
Marketing Director
★★★★★
5.0

The restaurant dataset quality is outstanding—perfect for our market research. Fast and accurate every time!

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Integrated seamlessly; uber eats dataset feeds power our competitor tracking effortlessly.

Sarah Chen
Sarah Chen
CTO, FoodTech
★★★★★
4.8

Restaurant extraction saved us weeks of manual work. Highly reliable datasets.

Mike Patel
Mike Patel
Growth Manager
★★★★★
5.0

Restaurant crawler handles scale like a champ. No more proxy hassles.

Emma Lopez
Emma Lopez
DevOps Engineer
★★★★★
4.7

Restaurants dataset exports are clean and ready for BI tools. Game-changer!

David Kim
David Kim
Product Lead
★★★★★
4.9

Precise restaurant datasets for ML models. Integration was a breeze.

Lisa Wong
Lisa Wong
Data Scientist
★★★★★
5.0

Uber eats dataset accuracy boosted our app's features overnight.

Tom Harris
Tom Harris
Founder, Delivery App
★★★★★
4.8

Restaurant extraction endpoints are robust—love the JSON structure.

Rachel Green
Rachel Green
BI Analyst
★★★★★
4.9

Scales perfectly for our restaurant datasets needs. Top-notch API.

Kevin Singh
Kevin Singh
Backend Developer
★★★★★
5.0

Fresh restaurant crawler data drives our campaigns. Excellent service!

Nina Alvarez
Nina Alvarez
Marketing Director
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 Uber Eats Restaurant Listing Scraper API architecture work?
Our cloud-based scrapers use headless browsers and ML parsing to fetch and structure Uber Eats data into JSON via REST endpoints, with built-in queuing for scalability.
What factors determine the pricing model?
Pricing scales by API credits consumed, based on request volume, data depth (e.g., full restaurant datasets), and concurrency needs—no hidden fees.
What is the data coverage and any limitations?
Covers all public Uber Eats restaurant listings, menus, reviews, and metrics globally, but excludes private user data or real-time inventory due to platform restrictions.
Is the scraper compliant and legal to use?
We only scrape publicly available data from Uber Eats, adhering to robots.txt and terms where possible—always consult legal for your use case.
What integration support is available?
Full docs, SDKs for Python/Node.js, Postman collections, and Slack support ensure quick setup for restaurant extraction and dataset workflows.

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