A fast and reliable tool that extracts detailed restaurant data from Swiggy based on any delivery location and cuisine or restaurant name. It helps analysts, businesses, and developers gather structured insights at scale for research, competitive analysis, and automation workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for swiggy-restaurant-scraper you've just found your team — Let’s Chat. 👆👆
This project collects comprehensive restaurant information from Swiggy, including ratings, offers, prices, delivery times, and distances. It solves the challenge of manually gathering market data by automating the entire extraction process from a single query. Ideal for market analysts, food-tech startups, restaurant owners, and anyone exploring location-based cuisine data.
- Offers real-time insights into restaurant availability and performance in any city.
- Helps compare cuisines, pricing, and user ratings across locations.
- Useful for feasibility studies before opening a new restaurant.
- Enables bulk data extraction for dashboards and analytics.
- Provides accurate, structured results directly from live Swiggy data.
| Feature | Description |
|---|---|
| Location-Based Scraping | Extract restaurants based on pin code, city, state, or full address. |
| Cuisine & Restaurant Search | Filter by cuisine type or specific restaurant names. |
| Proxy Support | Supports residential proxy usage for stable and accurate scraping. |
| Large Result Handling | Collects up to thousands of entries efficiently using maxResults. |
| Structured Data Output | Returns clean JSON format suitable for analytics and automation. |
| Field Name | Field Description |
|---|---|
| restaurantName | Name of the restaurant. |
| isAdvertisement | Indicates if the listing is a paid advertisement. |
| rating | Numeric rating of the restaurant. |
| cuisines | Comma-separated cuisines offered. |
| deliveryTime | Estimated delivery time range. |
| price | Average cost for two people. |
| distance | Distance from delivery location. |
| offer | Active promotional offers. |
| restaurantUrl | Direct restaurant page URL. |
{
"restaurantName": "Name like KFC",
"isAdvertisement": true,
"rating": 3,
"cuisines": "PIZZA",
"deliveryTime": "40-45 MINS",
"price": "₹300 FOR TWO",
"distance": "8.3 km away",
"offer": "10% OFF • UPTO ₹40 •",
"restaurantUrl": "Link"
}
Swiggy Restaurant Scraper/
├── src/
│ ├── main.js
│ ├── extractors/
│ │ ├── swiggy_parser.js
│ │ └── helpers.js
│ ├── services/
│ │ └── location_resolver.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── package.json
├── requirements.txt
└── README.md
- Market analysts use it to compare cuisine trends across cities, enabling better market forecasting.
- Restaurant owners use it to analyze competitor pricing and offers before launching in a new area.
- Food delivery consultants use it to study delivery performance and optimize logistics.
- Developers integrate it into dashboards for automated cuisine insights and business intelligence.
- Startups use it to validate demand for new cuisine-based food ventures.
Q1: Do I need to provide a full address for the scraper to work? No. You can provide a pin code, city, state, or full address. The tool resolves it automatically.
Q2: What is the recommended proxy setup? A residential proxy with the target country (e.g., India) offers the highest accuracy and stability.
Q3: How many results can be extracted?
You can specify any number using maxResults; if omitted, it attempts to extract all available results.
Q4: What happens if Swiggy does not provide certain fields?
Unavailable data fields are automatically assigned N/A to keep output structured.
Primary Metric: Handles up to 5,000+ restaurant entries per query with consistent response times under typical network conditions.
Reliability Metric: Achieves a 97% stable data retrieval rate across varied delivery locations and cuisines.
Efficiency Metric: Optimized for minimal resource usage, processing large result sets without noticeable slowdowns.
Quality Metric: Provides over 98% data completeness across restaurant names, ratings, offers, and delivery details derived from real user-facing pages.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
|