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UberEats Restaurant Listings Scraper API

XCrawl's UberEats Restaurant Listings Scraper API delivers precise restaurant extraction and structured ubereats data via a robust RESTful endpoint. Bypass parsing hurdles, IP blocks, and rate limits to build comprehensive restaurant datasets effortlessly. Ideal for developers seeking reliable restaurant crawler functionality with JSON outputs for seamless integration.

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What Can You Build With UberEats Restaurant Listings Scraper API Scraper?

Build dynamic restaurant datasets for market analysis, track ubereats data for competitive intelligence on menus and ratings, or power apps with our ubereats api for real-time restaurant extraction. Enable price monitoring across chains, sentiment analysis from reviews, and location-based insights using scalable restaurant datasets from UberEats listings.

XCrawl

Structured JSON Datasets

Receive clean, parse-ready restaurant datasets in JSON format, perfect for Python or Node.js pipelines, eliminating manual restaurant extraction and ensuring high-fidelity ubereats data.

XCrawl

Real-Time Restaurant Crawler

Access fresh ubereats api endpoints for instant restaurant datasets, supporting async requests to handle high-volume restaurant extraction without delays or data staleness.

XCrawl

Scalable Data Extraction

Effortlessly scale your restaurant crawler to millions of records, with built-in retries and proxies for reliable restaurants dataset generation from UberEats.

XCrawl

Developer-Friendly Integration

Seamless ubereats data integration via simple HTTP calls, complete with SDKs for quick setup in restaurant extraction workflows and dataset management.

Trusted by Data-Driven Teams Worldwide

Used by teams across analytics, research, monitoring, and growth workflows.

XCrawl

Available UberEats Restaurant Listings Scraper API Scrapers

Access the most commonly used UberEats Restaurant Listings Scraper API data types — fully structured, consistently formatted, and production-ready.

restaurant dataset

Extract comprehensive listings of UberEats restaurants including profiles, menus, and ratings for bulk restaurant dataset creation.

Scraping method:
  • restaurant_id
  • name
  • address
  • cuisine_types
  • average_rating
  • review_count
  • delivery_fee
  • image_url

restaurant datasets

Generate multiple restaurant datasets filtered by location, cuisine, or popularity via targeted UberEats queries.

Scraping method:
  • restaurant_name
  • phone
  • hours
  • menu_items
  • price_range
  • popularity_score
  • distance
  • promo_tags

restaurants dataset

Compile large-scale restaurants dataset from UberEats search results, categories, and top lists for analytics.

Scraping method:
  • id
  • chain_name
  • location
  • rating_stars
  • total_reviews
  • min_order
  • categories
  • logo_url

ubereats data

Pull raw ubereats data on restaurant listings, including real-time availability and pricing details.

Scraping method:
  • uber_id
  • display_name
  • lat_long
  • current_rating
  • delivery_time
  • fee_amount
  • is_open
  • thumbnail

ubereats api

Leverage ubereats api endpoints for programmatic access to restaurant extraction and structured outputs.

Scraping method:
  • api_endpoint
  • restaurant_uuid
  • full_address
  • user_rating
  • votes
  • cuisines
  • eta_range
  • banner_image

restaurant extraction

Perform precise restaurant extraction from UberEats pages, capturing metadata for custom datasets.

Scraping method:
  • extraction_id
  • name_slug
  • street_address
  • score
  • review_snippets
  • specials
  • vehicle_type
  • profile_photo

UberEats Restaurant Listings Scraper API crawling methods

XCrawl

API Scraping (For Developers)

Integrate via REST API for full control in Python, Node.js, or any HTTP client with async support.

  • XCrawl
    Python SDK Ready
    Use our Python library for quick restaurant dataset queries and ubereats data handling with minimal code.
  • XCrawl
    Async High-Volume
    Handle massive restaurant extraction runs asynchronously, scaling to thousands of requests per minute.
  • XCrawl
    Custom Parameters
    Tailor ubereats api calls with geo-filters, keywords, and pagination for precise restaurant datasets.
XCrawl

No-Code Scraping (For Ops & Growth Teams)

Use our intuitive dashboard for visual scraping setup without writing code.

  • XCrawl
    Visual Selector
    Point-and-click to select restaurant data fields for easy extraction restaurant workflows.
  • XCrawl
    Automated Scheduling
    Set cron jobs to refresh ubereats data and restaurant datasets on autopilot.
  • XCrawl
    CSV/Excel Exports
    Download ready-to-use restaurants dataset files directly for analysis tools like Excel or BI.

Code examples

Retrieve UberEats Restaurant Listings Scraper API posts and author information in seconds with a simple API call.

Input
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\"}"
Output
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":[
],
},
},
},
],
},

How the UberEats Restaurant Listings Scraper API Scraper API works?

  • XCrawlIntelligent IP rotation
  • XCrawlAutomatic CAPTCHA recognition
  • XCrawlHTTP headers
  • XCrawlAutomatic webpage parsing
  • XCrawlCustomizable support

What can our API do for you?

XCrawl

Proxy management

ML-driven proxy selection and rotation using our premium proxy pool from 190 countries.

XCrawl

AI-driven fingerprinting

Unique HTTP headers, JavaScript, and browser fingerprints ensure resilience to dynamic content.

XCrawl

CAPTCHA bypass

Automatic retries and CAPTCHA bypassing for uninterrupted data retrieval.

XCrawl

Bulk data extraction

Extract data from several pages at the same time with up to 10K URLs per batch.

XCrawl

Multiple delivery options

Receive data via cloud storage such as SFTP or AWSS3, or retrieve results through APIs.

XCrawl

Scheduled scraping

Set your preferred frequency for automated, custom-timed data collection, with results delivered directly to your cloud storage.

XCrawl

Maintenance-free infrastructure

Eliminate proxy maintenance and infrastructure hassle. No need to build crawler systems.

XCrawl

Highly scalable

Easy to integrate with support for customization.

XCrawl

24/7 support

Receive professional support in case of anyquestions or issues.

XCrawl Transparent

Flexible Pricing

Transparent web scraping pricing with flexible API subscription plans. Compare data extraction costs, purchase crawler access, and start free — then scale as you grow.

Monthly
Yearly Hot

Scale Plans

High-volume plans for teams that need more power and dedicated support.

Enjoy higher rate limits, more concurrent browsers, and priority support.

Contact Sales
We Provide Enterprise-Level Customization

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What do our customers say?

★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

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

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

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

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

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

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

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

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

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

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

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

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
★★★★★
5.0

XCrawl's ubereats api transformed our restaurant extraction pipeline—fast, accurate datasets in JSON every time.

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

Perfect for building restaurant datasets; the restaurant crawler handles scale without issues.

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

Reliable ubereats data extraction saved us weeks of dev time on restaurant datasets.

Mike Patel
Mike Patel
CTO
★★★★★
4.8

High-quality restaurant extraction makes our ubereats data analysis effortless and precise.

Emma Lopez
Emma Lopez
Analytics Lead
★★★★★
5.0

Seamless integration for restaurants dataset pulls—beats building our own restaurant crawler.

David Chen
David Chen
Backend Developer
★★★★★
4.9

Fresh ubereats api data powers our competitive restaurant datasets perfectly.

Lisa Nguyen
Lisa Nguyen
Growth Hacker
★★★★★
5.0

Outstanding restaurant extraction speed and dataset quality for UberEats insights.

Tom Harris
Tom Harris
Founder
★★★★★
4.7

Easy to generate restaurant datasets; ubereats data is spot-on for reports.

Rachel Singh
Rachel Singh
BI Analyst
★★★★★
5.0

Scalable restaurant crawler that delivers consistent restaurants dataset results.

Chris Morales
Chris Morales
DevOps Engineer
★★★★★
4.9

Love the ubereats api for quick restaurant extraction and rich datasets.

Anna Wong
Anna Wong
Market Researcher
ISO 27001
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CDPR
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Top-Rated by Users
XCrawlTop-Rated by Users
Leader
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Easiest To Use
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Best Value Award
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Frequently asked questions

Everything you need to know about XCrawl.

How does the UberEats Restaurant Listings Scraper API architecture work?
It uses distributed crawlers with proxy pools to fetch, parse, and structure public UberEats pages into JSON via REST endpoints, handling anti-bot measures automatically.
What factors determine the pricing model?
Pricing scales by API credits consumed, based on data volume, request frequency, and scraper complexity—pay only for successful restaurant dataset extractions.
What is the data coverage and any limitations?
Full coverage of public UberEats restaurant listings, menus, and reviews in supported regions; excludes private user data or dynamic JS-heavy elements.
Is the scraping legal and compliant?
We scrape only publicly available data from UberEats, adhering to robots.txt and terms where possible—users should ensure their own compliance for restaurant extraction.
What integration support is available?
SDKs for Python/Node.js, detailed docs, Postman collections, and 24/7 support for ubereats api setup and custom restaurant datasets.

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