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Ifood Restaurant Scraper API

The Ifood Restaurant Scraper API empowers developers to perform seamless restaurant extraction and restaurant menu data scraping. Bypass parsing complexities, IP blocks, and dynamic content challenges to build comprehensive restaurant datasets effortlessly. Get structured JSON outputs for restaurant crawler tasks, delivering accurate restaurant datasets and menu details in real-time.

무료 체험 시작
영업 부서 문의

Ifood Restaurant Scraper API 스크래퍼로 무엇을 만들 수 있나요?

Build dynamic restaurant datasets for market analysis, track competitor menus with restaurant menu data scraping, and power recommendation engines using restaurant extraction insights. Enable price monitoring across iFood listings, aggregate restaurants dataset for business intelligence, and automate restaurant crawler workflows for scalable data pipelines.

XCrawl

Instant Restaurant Dataset Access

Retrieve complete restaurant datasets in JSON format via simple API calls, ideal for Python integrations and real-time restaurant extraction needs.

XCrawl

Precise Menu Data Scraping

Extract detailed restaurant menu datasets including prices, images, and descriptions with high accuracy, supporting async requests for efficiency.

XCrawl

Scalable Restaurant Crawler

Handle large-scale restaurants dataset collection without rate limits, delivering structured data for analytics and machine learning applications.

XCrawl

Real-time Extraction Updates

Stay current with live restaurant extraction feeds, ensuring your restaurant datasets reflect the latest iFood changes in JSON-ready format.

전 세계 데이터 기반 팀이 신뢰합니다

분석, 조사, 모니터링, 성장 워크플로우 등 다양한 팀에서 사용되고 있습니다.

XCrawl

사용 가능한 Ifood Restaurant Scraper API 스크래퍼

가장 널리 사용되는 Ifood Restaurant Scraper API 데이터 타입에 즉시 접근 — 완벽하게 구조화되고, 일관된 포맷, 프로덕션 준비 완료.

restaurant menu data scraping

Scrape detailed iFood menus including items, prices, and availability for comprehensive menu analysis.

스크래핑 방법:
  • menu_id
  • item_name
  • price
  • description
  • image_url
  • category
  • calories
  • availability

restaurant dataset

Extract full restaurant profiles, ratings, and locations into structured restaurant datasets.

스크래핑 방법:
  • restaurant_id
  • name
  • address
  • rating
  • review_count
  • delivery_time
  • cuisine_type
  • phone

restaurant extraction

Pull targeted restaurant data like contacts and metrics for efficient extraction restaurant workflows.

스크래핑 방법:
  • restaurant_name
  • latitude
  • longitude
  • score
  • delivery_fee
  • min_order
  • promotions
  • seller_id

restaurant crawler

Crawl iFood search results and categories for bulk restaurant crawler data collection.

스크래핑 방법:
  • search_query
  • restaurant_rank
  • name
  • distance
  • rating
  • price_range
  • image_urls

restaurant menu dataset

Compile historical and current menu data into ready-to-use restaurant menu datasets.

스크래핑 방법:
  • menu_version
  • item_id
  • name
  • price_history
  • variants
  • allergens
  • nutrition_info

restaurants dataset

Aggregate multiple restaurants dataset from iFood for city-wide or category-specific insights.

스크래핑 방법:
  • city
  • restaurant_id
  • name
  • total_reviews
  • avg_rating
  • open_hours
  • delivery_rating

Ifood Restaurant Scraper API 크롤링 방식

XCrawl

API 스크래핑 (개발자용)

Integrate the Ifood Restaurant Scraper API via REST endpoints for programmatic restaurant extraction and dataset building.

  • XCrawl
    Python SDK Support
    Use our official Python library for easy restaurant menu data scraping and async handling of large datasets.
  • XCrawl
    Node.js Compatibility
    Seamlessly integrate with Node.js for real-time restaurant crawler tasks and JSON parsing.
  • XCrawl
    Batch Requests
    Process multiple restaurant datasets in parallel with scalable API calls and rate limit management.
XCrawl

노코드 스크래핑 (운영팀 & 성장팀용)

Leverage our dashboard for no-code restaurant dataset extraction without writing a single line of code.

  • XCrawl
    Visual Selector
    Point-and-click to select restaurant extraction fields like menus and ratings intuitively.
  • XCrawl
    Automated Scheduling
    Set cron jobs for recurring restaurant menu dataset updates and notifications.
  • XCrawl
    CSV/Excel Exports
    Download restaurants dataset directly in CSV, Excel, or JSON for immediate analysis.

코드 예시

간단한 API 호출로 몇 초 만에 Ifood Restaurant Scraper API 게시물 및 작성자 정보를 받아보세요.

입력
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\"}"
출력
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":[
],
},
},
},
],
},

Ifood Restaurant Scraper API 스크래퍼 API는 어떻게 동작하나요?

  • XCrawl지능형 IP 회전
  • XCrawl자동 CAPTCHA 인식
  • XCrawlHTTP 헤더
  • XCrawl자동 웹페이지 파싱
  • XCrawl맞춤형 지원

API로 무엇을 할 수 있나요?

XCrawl

프록시 관리

190개국 프리미엄 프록시 풀을 활용한 ML 기반 프록시 선택 및 회전

XCrawl

AI 기반 지문 추적

고유한 HTTP 헤더, 자바스크립트, 브라우저 지문으로 동적 콘텐츠에 강인함을 보장합니다.

XCrawl

CAPTCHA 우회

자동 재시도와 CAPTCHA 우회로 데이터 수집이 끊기지 않습니다.

XCrawl

대용량 데이터 추출

배치당 최대 1만 개의 URL에서 여러 페이지 데이터를 동시에 추출하세요.

XCrawl

다양한 결과 전달 방식

SFTP, AWSS3 등 클라우드 저장소로 데이터 수령 또는 API로 결과 즉시 받기

XCrawl

예약 스크래핑

원하는 빈도로 자동·맞춤화된 데이터 수집 주기 설정, 결과는 클라우드 저장소로 바로 전달됩니다.

XCrawl

유지보수 없는 인프라

프록시 유지보수와 인프라 고민 없이 크롤러 시스템 구축 불필요

XCrawl

높은 확장성

맞춤화 지원과 쉬운 통합

XCrawl

24/7 실시간 지원

궁금한 점이나 문제가 생기면 전문적으로 지원해드립니다.

XCrawl 투명함

유연한 가격

투명한 웹 스크래핑 가격정책, 유연한 API 구독제. 데이터 추출 비용 비교, 크롤러 액세스 구매, 무료로 시작해 성장에 맞춰 확장하세요.

월간
연간 HOT

스케일 플랜

더 많은 파워와 전담 지원이 필요한 팀을 위한 대용량 요금제.

더 높은 속도제한, 더 많은 동시 브라우저, 우선 지원을 누리세요.

영업 부서 문의
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Truth Social Scraper | All-In-One | $12 / mo Scraper API

XCrawl's Truth Social Scraper API is the all-in-one $12/mo solution for seamless web scraping in Python, Node.js, JavaScript, and R. Extract user profiles, bios, comments, engagement metrics, and media URLs effortlessly, bypassing parsing headaches and IP blocks with our robust truth social scraper infrastructure.

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Bluesky Following Scraper 🌐👥📊 Scraper API

XCrawl's Bluesky Following Scraper API revolutionizes data extraction from Bluesky, delivering user profiles, bios, followers, following lists, and engagement metrics via a robust REST API. Bypass IP blocking, rate limits, and parsing complexities effortlessly, getting clean JSON output for seamless integration into your backend apps.

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고객의 실제 평가

★★★★★
5.0

The restaurant menu data scraping is flawless—built massive restaurant datasets in hours with perfect JSON structure.

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

Restaurant extraction has transformed our competitor analysis; fast, accurate, and easy Python integration.

Maria Santos
Maria Santos
CTO, FoodTech Startup
★★★★★
5.0

Love the restaurant crawler for daily datasets—saved weeks of manual restaurant menu dataset work.

Jordan Lee
Jordan Lee
BI Analyst
★★★★★
4.8

Restaurants dataset quality is top-notch; reliable for our pricing and menu monitoring dashboard.

Carlos Mendes
Carlos Mendes
Product Manager
★★★★★
4.9

Seamless scaling with their API—restaurant extraction handles our high-volume restaurant datasets effortlessly.

Emma Patel
Emma Patel
DevOps Lead
★★★★★
5.0

Restaurant menu data scraping feeds our models perfectly; structured data boosts accuracy dramatically.

Liam Chen
Liam Chen
ML Engineer
★★★★★
4.7

Quick setup for restaurant crawler tasks—generated comprehensive restaurants dataset overnight.

Sophia Gupta
Sophia Gupta
Growth Hacker
★★★★★
5.0

Best restaurant dataset tool; async endpoints make extraction restaurant a breeze in Node.js.

David Kim
David Kim
Backend Developer
★★★★★
4.9

Reliable restaurant menu dataset exports—transformed our iFood market intelligence reports.

Isabella Torres
Isabella Torres
Analytics Manager
★★★★★
5.0

Outstanding restaurant extraction speed and coverage; core to our competitive edge.

Ryan Novak
Ryan Novak
Founder, Delivery App
★★★★★
5.0

The restaurant menu data scraping is flawless—built massive restaurant datasets in hours with perfect JSON structure.

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

Restaurant extraction has transformed our competitor analysis; fast, accurate, and easy Python integration.

Maria Santos
Maria Santos
CTO, FoodTech Startup
★★★★★
5.0

Love the restaurant crawler for daily datasets—saved weeks of manual restaurant menu dataset work.

Jordan Lee
Jordan Lee
BI Analyst
★★★★★
4.8

Restaurants dataset quality is top-notch; reliable for our pricing and menu monitoring dashboard.

Carlos Mendes
Carlos Mendes
Product Manager
★★★★★
4.9

Seamless scaling with their API—restaurant extraction handles our high-volume restaurant datasets effortlessly.

Emma Patel
Emma Patel
DevOps Lead
★★★★★
5.0

Restaurant menu data scraping feeds our models perfectly; structured data boosts accuracy dramatically.

Liam Chen
Liam Chen
ML Engineer
★★★★★
4.7

Quick setup for restaurant crawler tasks—generated comprehensive restaurants dataset overnight.

Sophia Gupta
Sophia Gupta
Growth Hacker
★★★★★
5.0

Best restaurant dataset tool; async endpoints make extraction restaurant a breeze in Node.js.

David Kim
David Kim
Backend Developer
★★★★★
4.9

Reliable restaurant menu dataset exports—transformed our iFood market intelligence reports.

Isabella Torres
Isabella Torres
Analytics Manager
★★★★★
5.0

Outstanding restaurant extraction speed and coverage; core to our competitive edge.

Ryan Novak
Ryan Novak
Founder, Delivery App
★★★★★
5.0

The restaurant menu data scraping is flawless—built massive restaurant datasets in hours with perfect JSON structure.

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

Restaurant extraction has transformed our competitor analysis; fast, accurate, and easy Python integration.

Maria Santos
Maria Santos
CTO, FoodTech Startup
★★★★★
5.0

Love the restaurant crawler for daily datasets—saved weeks of manual restaurant menu dataset work.

Jordan Lee
Jordan Lee
BI Analyst
★★★★★
4.8

Restaurants dataset quality is top-notch; reliable for our pricing and menu monitoring dashboard.

Carlos Mendes
Carlos Mendes
Product Manager
★★★★★
4.9

Seamless scaling with their API—restaurant extraction handles our high-volume restaurant datasets effortlessly.

Emma Patel
Emma Patel
DevOps Lead
★★★★★
5.0

Restaurant menu data scraping feeds our models perfectly; structured data boosts accuracy dramatically.

Liam Chen
Liam Chen
ML Engineer
★★★★★
4.7

Quick setup for restaurant crawler tasks—generated comprehensive restaurants dataset overnight.

Sophia Gupta
Sophia Gupta
Growth Hacker
★★★★★
5.0

Best restaurant dataset tool; async endpoints make extraction restaurant a breeze in Node.js.

David Kim
David Kim
Backend Developer
★★★★★
4.9

Reliable restaurant menu dataset exports—transformed our iFood market intelligence reports.

Isabella Torres
Isabella Torres
Analytics Manager
★★★★★
5.0

Outstanding restaurant extraction speed and coverage; core to our competitive edge.

Ryan Novak
Ryan Novak
Founder, Delivery App
★★★★★
5.0

The restaurant menu data scraping is flawless—built massive restaurant datasets in hours with perfect JSON structure.

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

Restaurant extraction has transformed our competitor analysis; fast, accurate, and easy Python integration.

Maria Santos
Maria Santos
CTO, FoodTech Startup
★★★★★
5.0

Love the restaurant crawler for daily datasets—saved weeks of manual restaurant menu dataset work.

Jordan Lee
Jordan Lee
BI Analyst
★★★★★
4.8

Restaurants dataset quality is top-notch; reliable for our pricing and menu monitoring dashboard.

Carlos Mendes
Carlos Mendes
Product Manager
★★★★★
4.9

Seamless scaling with their API—restaurant extraction handles our high-volume restaurant datasets effortlessly.

Emma Patel
Emma Patel
DevOps Lead
★★★★★
5.0

Restaurant menu data scraping feeds our models perfectly; structured data boosts accuracy dramatically.

Liam Chen
Liam Chen
ML Engineer
★★★★★
4.7

Quick setup for restaurant crawler tasks—generated comprehensive restaurants dataset overnight.

Sophia Gupta
Sophia Gupta
Growth Hacker
★★★★★
5.0

Best restaurant dataset tool; async endpoints make extraction restaurant a breeze in Node.js.

David Kim
David Kim
Backend Developer
★★★★★
4.9

Reliable restaurant menu dataset exports—transformed our iFood market intelligence reports.

Isabella Torres
Isabella Torres
Analytics Manager
★★★★★
5.0

Outstanding restaurant extraction speed and coverage; core to our competitive edge.

Ryan Novak
Ryan Novak
Founder, Delivery App
ISO 27001
XCrawlISO 27001
CDPR
XCrawlCDPR
사용자 최고 평점
XCrawl사용자 최고 평점
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XCrawl리더
가장 쉬운 사용성
XCrawl가장 쉬운 사용성
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XCrawl최고 가치상

자주 묻는 질문

XCrawl에 대해 꼭 알아야 할 모든 것.

How does the Ifood Restaurant Scraper API architecture work?
Our cloud-based scrapers use headless browsers and smart parsers to fetch public iFood data, process it into JSON via REST APIs, and deliver restaurant datasets with minimal latency.
What factors determine the pricing model?
Pricing scales by API calls, data volume for restaurant extraction, concurrent requests, and premium features like historical restaurant menu datasets.
What is the data coverage and any limitations?
Full coverage of public iFood restaurant profiles, menus, reviews, and search results; excludes private user data or non-public endpoints.
Is the scraping legally compliant?
We only scrape publicly available data from iFood, adhering to robots.txt and terms where possible; always consult local laws for your restaurant dataset usage.
What integration support is available?
Comprehensive docs, SDKs for Python/Node.js, webhook support, and dedicated Slack channel for restaurant crawler troubleshooting and custom restaurant extraction setups.

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