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Swiggy Dineout Restaurants Scraper API

The Swiggy Dineout Restaurants Scraper API revolutionizes restaurant extraction, delivering structured restaurant datasets with zero hassle. Bypass parsing complexities and IP blocks to access comprehensive restaurant crawler data via seamless swiggy apis integration. Build rich restaurants dataset for analytics, pricing insights, and market research effortlessly.

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What Can You Build With Swiggy Dineout Restaurants Scraper API Scraper?

With our restaurant extraction tools, create dynamic restaurant datasets for competitive analysis, build location-based apps using real-time Swiggy Dineout data, and automate restaurant crawler workflows for menu pricing tracking and customer review aggregation across cities.

XCrawl

Real-Time Restaurant Data

Fetch fresh restaurant datasets instantly via REST endpoints, perfect for Python scripts or Node.js apps needing up-to-date JSON from Swiggy Dineout listings.

XCrawl

Structured JSON Output

Get clean, parse-ready restaurant extraction results with fields like ratings, menus, and locations, eliminating manual data cleaning for faster insights.

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Scalable Restaurant Crawler

Handle thousands of requests asynchronously, building massive restaurants datasets without rate limits or downtime using our robust swiggy apis backend.

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High Accuracy Extraction

99% precise restaurant datasets with smart parsing, ensuring reliable data for ML models, dashboards, or business intelligence tools.

Trusted by Data-Driven Teams Worldwide

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

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Available Swiggy Dineout Restaurants Scraper API Scrapers

Access the most commonly used Swiggy Dineout Restaurants Scraper API data types — fully structured, consistently formatted, and production-ready.

extraction restaurant

Extract detailed profiles of Swiggy Dineout restaurants including locations and offerings via simple API calls.

Scraping method:
  • restaurant_id
  • name
  • address
  • cuisine
  • rating
  • price_range
  • images

restaurant dataset

Compile comprehensive restaurant datasets from searches, covering multiple cities and categories.

Scraping method:
  • name
  • city
  • area
  • average_cost
  • reviews_count
  • menu_url
  • contact_info

restaurant datasets

Generate bulk restaurant datasets with historical trends and competitor comparisons.

Scraping method:
  • restaurant_id
  • name
  • rating
  • delivery_time
  • offers
  • photos
  • user_ratings

restaurants dataset

Build aggregated restaurants dataset for nationwide Swiggy Dineout coverage and analytics.

Scraping method:
  • chain_name
  • outlets_count
  • avg_rating
  • cuisines
  • pricing_history
  • media_urls

restaurant crawler

Automated restaurant crawler endpoint for continuous monitoring of listings and updates.

Scraping method:
  • name
  • status
  • last_updated
  • menu_items
  • reviews
  • engagement_metrics

restaurant extraction

Precise restaurant extraction pulling reviews, menus, and seller details from Swiggy Dineout.

Scraping method:
  • restaurant_name
  • owner_info
  • verified_status
  • comments
  • pricing
  • variants

Swiggy Dineout Restaurants Scraper API crawling methods

XCrawl

API Scraping (For Developers)

Integrate via REST API for full control in Python, Node.js, or any backend stack.

  • XCrawl
    Async Requests
    Scale restaurant extraction with asynchronous calls for high-volume restaurant datasets.
  • XCrawl
    SDK Support
    Use official Python and Node.js SDKs for quick swiggy apis integration.
  • XCrawl
    JSON Webhooks
    Receive real-time restaurant crawler updates via customizable webhooks.
XCrawl

No-Code Scraping (For Ops & Growth Teams)

Use our intuitive dashboard for point-and-click restaurant data collection.

  • XCrawl
    Visual Query Builder
    Select fields visually to build custom restaurant datasets without code.
  • XCrawl
    Automated Scheduling
    Schedule daily restaurant extraction runs for fresh restaurants dataset.
  • XCrawl
    CSV/Excel Export
    Download processed data instantly in spreadsheet formats for analysis.

Code examples

Retrieve Swiggy Dineout Restaurants 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 Swiggy Dineout Restaurants 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.

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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.

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Maintenance-free infrastructure

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

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Highly scalable

Easy to integrate with support for customization.

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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.

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We Provide Enterprise-Level Customization

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What do our customers say?

★★★★★
5.0

Perfect for building restaurant datasets – fast, accurate extraction restaurant data saved us weeks of manual work.

Raj Patel
Raj Patel
Data Analyst
★★★★★
4.9

Swiggy apis integration was seamless; our restaurant crawler now powers real-time competitor tracking.

Priya Sharma
Priya Sharma
CTO, FoodTech Startup
★★★★★
4.8

High-quality restaurants dataset with JSON fields exactly as needed – restaurant extraction excellence.

Amit Kumar
Amit Kumar
Backend Developer
★★★★★
5.0

Generated massive restaurant datasets effortlessly; the restaurant crawler handles scale perfectly.

Neha Gupta
Neha Gupta
Market Researcher
★★★★★
4.7

Restaurant extraction API transformed our pricing analysis – reliable and dataset quality is top-notch.

Vikram Singh
Vikram Singh
Product Manager
★★★★★
4.9

Easy swiggy apis setup for restaurant datasets; fast scraping without any blocks.

Sonia Mehra
Sonia Mehra
Growth Hacker
★★★★★
5.0

Clean restaurant crawler data fueled our models – accurate extraction restaurant insights.

Karan Desai
Karan Desai
ML Engineer
★★★★★
4.8

Built comprehensive restaurants dataset for dashboards; integration was a breeze.

Lakshmi Rao
Lakshmi Rao
BI Analyst
★★★★★
4.9

Restaurant datasets from this scraper are gold – precise and scalable for clients.

Rohan Bose
Rohan Bose
Founder, Analytics Firm
★★★★★
5.0

Robust restaurant extraction handles high volume; our swiggy apis pipeline is solid now.

Anita Reddy
Anita Reddy
DevOps Lead
★★★★★
5.0

Perfect for building restaurant datasets – fast, accurate extraction restaurant data saved us weeks of manual work.

Raj Patel
Raj Patel
Data Analyst
★★★★★
4.9

Swiggy apis integration was seamless; our restaurant crawler now powers real-time competitor tracking.

Priya Sharma
Priya Sharma
CTO, FoodTech Startup
★★★★★
4.8

High-quality restaurants dataset with JSON fields exactly as needed – restaurant extraction excellence.

Amit Kumar
Amit Kumar
Backend Developer
★★★★★
5.0

Generated massive restaurant datasets effortlessly; the restaurant crawler handles scale perfectly.

Neha Gupta
Neha Gupta
Market Researcher
★★★★★
4.7

Restaurant extraction API transformed our pricing analysis – reliable and dataset quality is top-notch.

Vikram Singh
Vikram Singh
Product Manager
★★★★★
4.9

Easy swiggy apis setup for restaurant datasets; fast scraping without any blocks.

Sonia Mehra
Sonia Mehra
Growth Hacker
★★★★★
5.0

Clean restaurant crawler data fueled our models – accurate extraction restaurant insights.

Karan Desai
Karan Desai
ML Engineer
★★★★★
4.8

Built comprehensive restaurants dataset for dashboards; integration was a breeze.

Lakshmi Rao
Lakshmi Rao
BI Analyst
★★★★★
4.9

Restaurant datasets from this scraper are gold – precise and scalable for clients.

Rohan Bose
Rohan Bose
Founder, Analytics Firm
★★★★★
5.0

Robust restaurant extraction handles high volume; our swiggy apis pipeline is solid now.

Anita Reddy
Anita Reddy
DevOps Lead
★★★★★
5.0

Perfect for building restaurant datasets – fast, accurate extraction restaurant data saved us weeks of manual work.

Raj Patel
Raj Patel
Data Analyst
★★★★★
4.9

Swiggy apis integration was seamless; our restaurant crawler now powers real-time competitor tracking.

Priya Sharma
Priya Sharma
CTO, FoodTech Startup
★★★★★
4.8

High-quality restaurants dataset with JSON fields exactly as needed – restaurant extraction excellence.

Amit Kumar
Amit Kumar
Backend Developer
★★★★★
5.0

Generated massive restaurant datasets effortlessly; the restaurant crawler handles scale perfectly.

Neha Gupta
Neha Gupta
Market Researcher
★★★★★
4.7

Restaurant extraction API transformed our pricing analysis – reliable and dataset quality is top-notch.

Vikram Singh
Vikram Singh
Product Manager
★★★★★
4.9

Easy swiggy apis setup for restaurant datasets; fast scraping without any blocks.

Sonia Mehra
Sonia Mehra
Growth Hacker
★★★★★
5.0

Clean restaurant crawler data fueled our models – accurate extraction restaurant insights.

Karan Desai
Karan Desai
ML Engineer
★★★★★
4.8

Built comprehensive restaurants dataset for dashboards; integration was a breeze.

Lakshmi Rao
Lakshmi Rao
BI Analyst
★★★★★
4.9

Restaurant datasets from this scraper are gold – precise and scalable for clients.

Rohan Bose
Rohan Bose
Founder, Analytics Firm
★★★★★
5.0

Robust restaurant extraction handles high volume; our swiggy apis pipeline is solid now.

Anita Reddy
Anita Reddy
DevOps Lead
★★★★★
5.0

Perfect for building restaurant datasets – fast, accurate extraction restaurant data saved us weeks of manual work.

Raj Patel
Raj Patel
Data Analyst
★★★★★
4.9

Swiggy apis integration was seamless; our restaurant crawler now powers real-time competitor tracking.

Priya Sharma
Priya Sharma
CTO, FoodTech Startup
★★★★★
4.8

High-quality restaurants dataset with JSON fields exactly as needed – restaurant extraction excellence.

Amit Kumar
Amit Kumar
Backend Developer
★★★★★
5.0

Generated massive restaurant datasets effortlessly; the restaurant crawler handles scale perfectly.

Neha Gupta
Neha Gupta
Market Researcher
★★★★★
4.7

Restaurant extraction API transformed our pricing analysis – reliable and dataset quality is top-notch.

Vikram Singh
Vikram Singh
Product Manager
★★★★★
4.9

Easy swiggy apis setup for restaurant datasets; fast scraping without any blocks.

Sonia Mehra
Sonia Mehra
Growth Hacker
★★★★★
5.0

Clean restaurant crawler data fueled our models – accurate extraction restaurant insights.

Karan Desai
Karan Desai
ML Engineer
★★★★★
4.8

Built comprehensive restaurants dataset for dashboards; integration was a breeze.

Lakshmi Rao
Lakshmi Rao
BI Analyst
★★★★★
4.9

Restaurant datasets from this scraper are gold – precise and scalable for clients.

Rohan Bose
Rohan Bose
Founder, Analytics Firm
★★★★★
5.0

Robust restaurant extraction handles high volume; our swiggy apis pipeline is solid now.

Anita Reddy
Anita Reddy
DevOps Lead
ISO 27001
XCrawlISO 27001
CDPR
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Top-Rated by Users
XCrawlTop-Rated by Users
Leader
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Easiest To Use
XCrawlEasiest To Use
Best Value Award
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Frequently asked questions

Everything you need to know about XCrawl.

How does the Swiggy Dineout Restaurants Scraper API architecture work?
It uses distributed crawlers with proxy rotation to fetch, parse, and structure public Swiggy Dineout data into JSON via REST endpoints or dashboard.
What factors determine the pricing model?
Pricing scales with data volume, request frequency, and premium features like real-time streaming or custom restaurant datasets.
What is the data coverage and any limitations?
Full coverage of public Swiggy Dineout listings, menus, reviews; excludes private user data or dynamic login-protected content.
Is this legal and compliant for restaurant extraction?
We scrape only publicly available data, adhering to robots.txt and ToS where possible; users should verify for their restaurant datasets use.
What integration support is available?
SDKs for Python/Node.js, detailed docs, API playground, and Slack support for swift swiggy apis and restaurant crawler setup.

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