Flipkart Minutes scraper alternative: what data exists

The short answer

If you searched for a Flipkart Minutes scraper or a Flipkart Minutes scraper API, here is the honest position. Rewalto does not hold Flipkart Minutes prices, stock or search rank. It does hold where Flipkart Minutes has dark stores, which pin codes each store serves, and the delivery time the app promised at pin codes, kept as dated history. You can read those through a dashboard, an API or an MCP server (preview), and you pay credits only for records delivered.

If your project needs Flipkart Minutes prices, this dataset will not do that job today. Knowing that before you build on it saves you a week.

What Rewalto holds for Flipkart Minutes today

These figures are read from the Rewalto data catalogue and the dark-store map when the page is served, not typed into it. If the catalogue cannot be read, the block says so instead of showing an old number.

The same figures, with the top cities, are on the Flipkart Minutes data page, and every store can be seen on the Flipkart Minutes dark-store map.

Questions this data answers

• Where does Flipkart Minutes have dark stores, and how many open stores does each city have?
• Which pin codes does a given store serve?
• Does a pin code have a Flipkart Minutes store near it?
• What delivery time did the app promise at a pin code on a given day, and how does that compare with another app?

These are useful for deciding where a brand could be sold, for sizing a city, and for comparing how fast different apps promise to deliver. They are not a view of what is on the shelf.

What Rewalto does not hold

Rewalto holds no Flipkart Minutes selling prices, MRP, discounts, stock states, search results, brand share of shelf or sponsored slots. A dataset that included them would need regular readings of the app at many pin codes, and Rewalto does not take them for Flipkart Minutes. The catalogue is the source of truth here: the table above lists only what it lists.

Flipkart the marketplace is a different dataset. If you need Flipkart marketplace listings, see the Flipkart marketplace data page. Do not read it as Flipkart Minutes.

For prices on other quick-commerce apps, see the guides for Blinkit and Zepto, and the quick-commerce API overview.

Who this dataset suits, and who it does not

It suits a brand or an analyst deciding where Flipkart Minutes operates. If you sell in Bengaluru, Delhi or Mumbai and want to know whether the app has stores near your customers, the dark-store records answer that directly, with the date each store was first and last seen. It suits a team that compares delivery promises, because the delivery-time records carry the minimum, typical and longest minutes shown for a pin code on a day, and the source of each reading.

It suits a developer who wants an AI agent to answer “does Flipkart Minutes deliver to this pin code” from dated records rather than a guess. The agent calls the dark-store read for the pin code and reports the stores it finds, with the day they were last seen.

It does not suit anyone who needs a price series, an out-of-stock alert, a search rank or a sponsored-slot count for Flipkart Minutes. Rewalto holds none of these for this app, so any product built on them needs another source.

Check coverage before you build on it

Three checks take a few minutes and prevent most surprises. First, read the date beside each figure. Dark stores are counted weekly, so the count is a recent picture, not a live one. Second, read the window of the delivery-time history. It covers specific days, so it cannot show a trend over a longer period or tell you what the app promises today. Third, look at the pin codes. Delivery-time history exists only for the pin codes that were read, and a pin code with no reading is unknown, not slow.

A missing record always means “not read”. It never means the app has no store there or does not deliver. If the answer matters to a decision, check the dark-store map for the pin code and keep the date with your note.

How Flipkart Minutes coverage differs from other quick-commerce apps

For Blinkit and Zepto, Rewalto reads prices and stock by pin code every day, and the guides for those apps show the pin codes held. Flipkart Minutes is different: it is covered through its dark stores and through delivery-time history only. If you are building a cross-app comparison, you can compare dark-store footprints and promised delivery times across all of them, but you can compare prices only for the apps whose pages list prices.

The delivery time by pin code page lists every app that has delivery-time records and the window of each. Use it to see which apps you can set beside Flipkart Minutes on a given pin code and day.

Why teams look for a Flipkart Minutes scraper

Most people who search for a scraper want an answer, not a scraper. A brand wants to know whether Flipkart Minutes is worth listing on in a city. An analyst wants to compare delivery promises across apps. A developer building an AI agent wants a source for “does Flipkart Minutes serve this pin code”. Each of these needs dated records tied to a place.

The app shows different things at different pin codes, because each pin code is served by one dark store. A reading with no pin code attached cannot be checked and cannot be compared with tomorrow’s. That is the part a dataset can do once for everyone.

The work a scraper keeps asking for

Writing the first version is the small part. This is the list of jobs that remain once something is collecting. We do not describe how to collect from Flipkart Minutes here.

• Choosing pin codes that represent your market, and keeping the list current as the app opens stores in new areas.
• Noticing when the app changes its pages, before a week of empty or wrong rows reaches a report.
• Telling a store that closed from one that was simply not seen, so a gap is never counted as a closure.
• Storing every reading with its time and place, so a number can be traced back when someone questions it.
• Keeping the collection within the terms of use of the sites it reads, and deciding who in your company owns that question.

Each is a standing task with an owner. A dataset moves them to the supplier, and your team keeps the part that is yours: deciding what the numbers mean for your products.

How to get the data

You need an API key. The two calls below read dark stores and delivery times. Both return records with their dates, and both charge only for what is delivered.

curl -H "Authorization: Bearer $REWALTO_API_KEY" "https://api.rewalto.com/v1/data/dark-stores?platform=flipkart_minutes&city=Bengaluru"

curl -H "Authorization: Bearer $REWALTO_API_KEY" "https://api.rewalto.com/v1/data/delivery-eta?retailer=flipkart_minutes&pincode=560001"

rewalto data dark-stores --platform flipkart_minutes
rewalto data delivery-eta --retailer flipkart_minutes

AI agents can use the same two reads as tools through the MCP server (preview), which lists dark stores and delivery times. The developer page has the keys, the docs and the field list.

What this data does not tell you

Store counts are what the app shows to shoppers, not company figures. A store is counted once even when it serves many pin codes, and a store that is no longer seen is marked closed, not deleted. Delivery times are the minutes the app promised on screen, not measured deliveries, and they are history for dated windows, not a daily feed.

Rewalto is not affiliated with, endorsed by or partnered with Flipkart Minutes. Flipkart is a trademark of its owner. Rewalto's API serves what the Flipkart Minutes app shows shoppers, read from its public pages with the pin code and time of each reading. It is not Flipkart's own API or feed.

Read the guide to coverage and freshness before you build on any dataset, and keep the pin code and time beside every number you show to someone else. To see what Rewalto does, start at the Rewalto home page.

Every record keeps its source address and the time it was read, so a figure can be traced back. Rewalto keeps the figure and where it came from, and does not keep a copy of the page. If you find a record that looks wrong, the date and pin code on it are what you need to ask about it.

Questions