Swiggy Restaurants Ahmedabad 08-11-2025 Dataset

The Swiggy Restaurants Ahmedabad 2025 dataset from ScraperScoop is a ready-to-use dataset designed for teams needing reliable Swiggy restaurant data for Ahmedabad as of 08-11-2025. This product page presents a complete overview, the data schema, and practical usage guidance to satisfy data analysts, marketers, and developers seeking accurate, ready-to-import information.

What’s Included

Core restaurant records for Ahmedabad, aligned with Swiggy listings as of the specified date.

Structured fields that support easy ingestion into analytics, BI dashboards, or app backends.

Ready-to-import formats (CSV and JSON) with consistent field names and validation.

Ready-to use Dataset, Sample Dataset options to speed testing and deployment.

Data Schema and Key Fields

Core Attributes

restaurant_id, name – city, area, neighborhood – cuisine, category, price_range – rating, reviews_count – delivery_time_estimate, delivery_fee, min_order_amount – address, latitude, longitude – is_open, status – last_updated, source_url

Supplementary Data (Optional)

popular_dishes, menu_count – dietary_options (vegetarian, vegan, non_vegetarian) – delivery_partners, payment_options – store_hours, holiday_availability

Formats, Quality, and Updates

Formats: CSV, JSON, and API-ready payloads to fit your data pipeline.

Data quality: normalized fields, deduplicated records, and timestamped last_updated markers for traceability.

Update cadence: curated to reflect Swiggy’s listings in Ahmedabad with regular refreshes and integrity checks, ensuring you work with relevant, actionable data.

Use Cases and Value

Market research: compare restaurant density, cuisines, and price ranges across Ahmedabad.

Competitive benchmarking: monitor delivery times, fees, and open status against peers.

Product development: power features in delivery apps or marketplaces with reliable restaurant metadata.

Lead generation and targeting: build geo-targeted campaigns using area, cuisine, and rating data.

Data science: support attribution models and forecasting with clean, structured restaurant datasets.

Ready-to-Use Dataset and Sample Dataset

This offering includes Ready to use Dataset, Sample Dataset to accelerate onboarding and testing. You’ll receive both the full dataset for production use and a lightweight sample dataset that’s ideal for prototyping, demos, or early validation. Formats, field definitions, and validation rules are consistent across both datasets to minimize integration friction.

How to Use the Dataset

Step 1: Download the CSV or JSON files in your preferred format.

Step 2: Normalize field names to match your schema (if needed) and validate records against the provided data dictionary.

Step 3: Import into your data warehouse, BI tool, or app backend.

Step 4: Build location-based dashboards, time-to-delivery analyses, and cuisine mix visuals.

Step 5: Schedule regular updates to keep insights current.

Licensing, Support, and Access

Commercial licensing suitable for analytics, marketing, and product teams.

Documentation and data dictionary included.

Support from ScraperScoop for pipeline integration, field mapping, and update scheduling.

Why Choose This Dataset for Ahmedabad

Precision by date: the dataset is anchored to Swiggy listings as of 08-11-2025, with fields designed for clarity and consistency.

Ready-to-integrate: formats and schemas are chosen to minimize data wrangling time.

Actionable insights: paired with LSI terms like delivery performance, cuisine distribution, and market density, the data supports practical decision-making.

Reliable updates: dashboards and reports stay relevant with refreshed records and quality checks.

Call to Action

Ready to empower your analyses and product features with reliable Ahmedabad restaurant data?

Download Now to start building in minutes.

Request a Demo to see how the dataset fits your workflow.

Contact Sales for licensing details and volume options