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A client needing restaurant outlet counts and their number of ratings, city by city, across Google Maps, Zomato, and Swiggy — for competitive footprint and popularity mapping across Indian cities.

Use Case
Restaurant Footprint / Competitive Intel
Region
India — city by city
Sources
Google Maps • Zomato • Swiggy
3
Sources
Outlet Counts
City by City
Ratings Count
Popularity Signal
Cross-Source
Reconciled

Key Takeaways

Actowiz mapped restaurant outlet counts and their number of ratings, city by city, across Google Maps, Zomato, and Swiggy. For each brand and city, the pipeline enumerated outlets on each source, captured each outlet's rating count as a popularity signal, and reconciled outlets across the three sources to avoid double-counting. The result was a comparable, multi-source view of restaurant footprint and popularity by city — how many outlets a brand runs, how visible they are, and how that varies across platforms — delivered as structured data for competitive and market-mapping analysis.

What did the client need?

The client needed to map restaurant outlet data across Google Maps, Zomato, and Swiggy — specifically outlet counts and their number of ratings, city by city — to understand competitive footprint and popularity across Indian cities.

They wanted coverage across cities, a clear process, and a defined turnaround — with outlets reconciled across the three sources for an accurate, comparable count.

What made this hard?

  • Three sources. Google Maps, Zomato, and Swiggy list outlets differently and had to be reconciled.
  • Outlet reconciliation. The same outlet appears on multiple sources, so double-counting had to be avoided.
  • City-by-city scale. Coverage across many Indian cities required systematic traversal.
  • Ratings as a signal. Number of ratings had to be captured per outlet as a popularity proxy.
  • Comparable output. Counts and ratings had to be comparable across sources and cities.

How did Actowiz solve it?

Actowiz built a city-by-city outlet-enumeration pipeline across the three sources with cross-source reconciliation.

Approach
  • Source enumeration. Outlets enumerated per brand per city on Google Maps, Zomato, and Swiggy.
  • Ratings capture. Each outlet's number of ratings captured as a popularity signal.
  • Cross-source reconciliation. Outlets matched across sources to avoid double-counting.
  • City-by-city coverage. Systematic coverage across target Indian cities.
  • Structured output. Comparable outlet-count and ratings dataset by brand, city, and source.
Data Attributes / Fields
Field Description
brand Restaurant brand
city City
source Google Maps / Zomato / Swiggy
outlet_count Outlets for the brand in the city
ratings_count Number of ratings per outlet
outlet_identity Reconciled outlet ID across sources
scrape_date Cycle date

What were the results?

  • Footprint mapped. Outlet counts by brand and city across three sources.
  • Popularity signal. Number of ratings per outlet as a comparable popularity proxy.
  • No double-counting. Cross-source reconciliation gave accurate counts.
  • Competitive view. A comparable, city-level map of restaurant footprint.

Project at a Glance

Metric Value
Use Case Restaurant footprint / competitive intelligence
Region India — city by city
Sources Google Maps, Zomato, Swiggy
Metrics Outlet counts, number of ratings
Reconciliation Cross-source outlet matching
Cadence Per project / recurring
Output Structured outlet + ratings dataset

Client Feedback

“We needed to know, city by city, how many outlets each brand runs and how visible they are — across Maps, Zomato, and Swiggy without double-counting. Actowiz delivered exactly that, comparably.”

— Strategy Lead, F&B Client

Frequently Asked Questions

Q: What is captured per brand and city?

A: Outlet counts and each outlet's number of ratings, across Google Maps, Zomato, and Swiggy.

Q: How is double-counting avoided?

A: Outlets are matched and reconciled across the three sources for an accurate count.

Q: Which cities are covered?

A: Coverage is city by city across target Indian cities, as scoped.

Q: Why capture number of ratings?

A: It serves as a comparable popularity/visibility proxy per outlet.

Need restaurant footprint & popularity mapping?

Actowiz Solutions maps outlet counts and ratings across Maps, Zomato, and Swiggy with cross-source reconciliation. Visit actowizsolutions.com to discuss your data requirement.

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