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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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Que pouvez-vous construire avec le scraper Swiggy Dineout Restaurants Scraper API ?

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.

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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.

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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.

Adopté par des équipes data-driven du monde entier

Utilisé par les équipes analytics, recherche, veille & croissance.

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Scrapers Swiggy Dineout Restaurants Scraper API disponibles

Accédez aux formats Swiggy Dineout Restaurants Scraper API les plus utilisés — structurés, normalisés, prêts pour la production.

extraction restaurant

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

Méthode de scraping :
  • restaurant_id
  • name
  • address
  • cuisine
  • rating
  • price_range
  • images

restaurant dataset

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

Méthode de scraping :
  • name
  • city
  • area
  • average_cost
  • reviews_count
  • menu_url
  • contact_info

restaurant datasets

Generate bulk restaurant datasets with historical trends and competitor comparisons.

Méthode de scraping :
  • restaurant_id
  • name
  • rating
  • delivery_time
  • offers
  • photos
  • user_ratings

restaurants dataset

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

Méthode de scraping :
  • chain_name
  • outlets_count
  • avg_rating
  • cuisines
  • pricing_history
  • media_urls

restaurant crawler

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

Méthode de scraping :
  • name
  • status
  • last_updated
  • menu_items
  • reviews
  • engagement_metrics

restaurant extraction

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

Méthode de scraping :
  • restaurant_name
  • owner_info
  • verified_status
  • comments
  • pricing
  • variants

Méthodes de crawling Swiggy Dineout Restaurants Scraper API

XCrawl

API Scraping (pour les développeurs)

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.
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No-code Scraping (pour équipes ops & growth)

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.

Exemples de code

Récupérez les posts et infos auteur Swiggy Dineout Restaurants Scraper API en quelques secondes par un simple appel API.

Entrée
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\"}"
Sortie
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":[
],
},
},
},
],
},

Comment fonctionne l’API Scraper Swiggy Dineout Restaurants Scraper API ?

  • XCrawlRotation IP intelligente
  • XCrawlReconnaissance CAPTCHA automatique
  • XCrawlEntêtes HTTP
  • XCrawlParsing automatique des pages
  • XCrawlSupport personnalisable

Que peut faire notre API pour vous ?

XCrawl

Gestion des proxies

Sélection et rotation ML des proxies à partir de notre pool premium de 190 pays.

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Empreintes pilotées par l’IA

Entêtes HTTP, JS et empreintes navigateur uniques pour résister aux contenus dynamiques.

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Bypass CAPTCHA

Relances et contournement CAPTCHA automatiques pour une collecte ininterrompue.

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Extraction de données en masse

Extrayez sur plusieurs pages en même temps, jusqu’à 10k URLs par lot.

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Options de livraison multiples

Recevez vos données via SFTP, AWSS3 ou récupérez-les via API.

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Scraping programmé

Définissez votre fréquence souhaitée d’extraction automatisée, livrée directement sur votre cloud storage.

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Infrastructure sans maintenance

Supprimez les soucis de proxies et d’infrastructure. Plus besoin de bâtir des systèmes de crawler.

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Très évolutif

Intégration simple et support de personnalisation.

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Support 24/7

Profitez d’un support professionnel pour toute question ou problème.

XCrawl Transparent

Tarification flexible

Tarification transparente de web scraping avec des plans d'abonnement API flexibles. Comparez les coûts d'extraction de données, achetez l'accès crawler et commencez gratuitement — puis évoluez à votre rythme.

Mensuel
Annuel Populaire

Formules évolutives

Formules haut volume pour les équipes en quête de puissance et de support dédié.

Profitez de limites de débit plus élevées, plus de navigateurs concurrents et d’un support prioritaire.

Contacter le service commercial
Nous fournissons des solutions sur mesure d’envergure entreprise

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Que disent nos clients ?

★★★★★
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
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Questions fréquentes

Tout ce que vous devez savoir sur 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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