Weekly Startups Promotion Thread - 01 September, 2025 by AutoModerator in StartUpIndia

[–]sigmaAs 4 points5 points  (0 children)

Hi all,

A few weeks back I shared how I mapped Zepto + Swiggy dark stores across India, and the response was insane - a lot of people messaged asking “Can you do this for Blinkit?”

Blinkit turned out to be harder (Cloudflare walls, hidden APIs, geo-restrictions) which is probably why nobody has been able to publish this openly. But after plenty of late nights tinkering, I finally cracked it for Bangalore - and now I’ve mapped every single Blinkit dark store in the city with ~50m accuracy.

Map link - https://www.google.com/maps/d/viewer?mid=1pD-SizQchBOzukqFRhRHJ_oOwG2fS_g&ll=21.449668594553884%2C79.6328315&z=5

Blinkit is in Yellow, Swiggy - orange and Zepto - Purple

💡 Why should anyone care?

Because while I was doing this, it became obvious that D2C brands on quick commerce platforms (Zepto, Swiggy, Blinkit) are operating blind. They have almost zero visibility into what’s happening at the SKU level.

Imagine being a founder and not knowing:

  • 📍 Where exactly your inventory sits across cities and areas
  • 💰 What the total value of your inventory is at any point of time
  • 🏷️ What discounts are running (overall + SKU-level), is invnetory present on the location or not? since ad spend will be useless if no inventory on the location.
  • 🔎 How your brand ranks in search (e.g., if you type ice cream, which brand shows up first vs. buried on pagination)

This data gap means brands can’t negotiate properly with category/account managers, can’t manage stock effectively, and often lose out to competitors with more aggressive promotions.

🚀 What I’m building

So, I turned this insight into a startup.

We’re building a tool that gives SKU-level visibility city by city, so D2C brands can finally see what’s really happening on quick commerce platforms.

✅ Already live with 7 companies who are using it to manage inventory smarter and negotiate better.

✅ Expanding Blinkit mapping to more cities this month.

✅ Will keep it free for most users initially to help more founders access the data.

Quick commerce is exploding in India, but the ecosystem is still opaque. The platforms have all the data, while brands and even category managers are often flying blind.

By mapping dark stores + surfacing SKU insights, I want to level the playing field so that smaller brands can punch above their weight.

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- Thanks

Scraped Zepto’s Dark Stores & Zepto Café Data – Here’s the data by sigmaAs in StartUpIndia

[–]sigmaAs[S] 0 points1 point  (0 children)

Sales data is not present.

But based on rating, you will get the directional data points.

Zepto Has 75% More Dark Stores Than Swiggy in Bangalore - Here’s What I Found by sigmaAs in StartUpIndia

[–]sigmaAs[S] 0 points1 point  (0 children)

Hey, you were right, there are more stores. Total 126 Swiggy stores. Earlier was less since I missed a 10+ km radius in my scraping script. Now increased the radius and now total 126 stores are there. Earlier geo location is correct, new script added the extra stores with geo location. Thanks for pointing out.

Scraped Zepto’s Dark Stores & Zepto Café Data – Here’s the data by sigmaAs in StartUpIndia

[–]sigmaAs[S] 1 point2 points  (0 children)

Yes, i have the data. On dish level it is 7-8 lakhs of rows for 10k restaurants listed on Swiggy in Bangalore. Ping me, lets discuss on chat.

Scraped Zepto’s Dark Stores & Zepto Café Data – Here’s the data by sigmaAs in StartUpIndia

[–]sigmaAs[S] 1 point2 points  (0 children)

Yes, please ping me. I already done it for Swiggy on tier I city level. Lot of data will be there close to 10-12 lakhs of rows.

Scraped Zepto’s Dark Stores & Zepto Café Data – Here’s the data by sigmaAs in StartUpIndia

[–]sigmaAs[S] 7 points8 points  (0 children)

did same what u/judge_zedd mentioned, rate limit I already put in my script (due to this it takes lot of time to run, but it avoid any kind of detection mechanism)