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Reliance Digital India Daily Electronics Product & Pricing Dataset

Q: Why are three columns empty in the sample?

shipping_charges, page_url and position came through empty across the whole sample. The first two do not apply to this source; position is populated on search-sourced rows.

A daily file of the Reliance Digital catalogue — Reliance's electronics retail chain — with 25 columns covering price, MRP, discount, sold-out status, ratings, promised arrival date and a structured category hierarchy.

Electronics pricing behaves unlike most retail: MRP is often notional and discounting is uneven. In the supplied sample an iPhone 15 ran ₹59,900 against a ₹69,900 MRP — 14% off — while the iPhone 14 and 13 next to it sat at full MRP with no discount at all.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs every morning whether you buy it or not. Most vendors start collecting after you order — which is why they quote a lead time. Here the most recent file is in your account within minutes of payment, with an API key issued at the same time.

$499.00per month

All prices are in USD · GST or VAT added on the invoice

168,000 listings per run, full catalogue

25 fields, all listed below

This dataset was last updated on 03-Nov-2026

A fresh file every morning · cancel any time

Excel and CSV included · JSON and Parquet on request

Please download the sample first and check the fields against what you need. Data files are not refundable once delivered.

VISA · MASTERCARD · AMEX · UPI · NET BANKING

Fields Sample rows Coverage Historical FAQ Add to cart · $499.00

What you get, in plain terms

Four things. If any of them is not what you expected, the sample will show you before you spend anything.

Category tree as structured JSON

category_hierarchy arrives as l1/l2/l3 rather than a breadcrumb string you have to split.

MRP against actual price

Both captured on every row, so you can measure the gap rather than trust the headline. In electronics that gap is where the story is.

Sold-out status and ratings

Forty of the fifty listings in the supplied sample were sold out — in consumer durables that is a supply signal as much as a demand one.

However you want it

Direct download, REST API, Amazon S3, Google Cloud, Snowflake or SFTP. The API key comes with the dataset.

Fields included in this dataset

All 25 columns, in the exact order they appear in the file — taken straight from the sample, not from a brochure. The free sample ships with a data dictionary giving an example value for each one.

product_idcatalog_namecatalog_idsource scraped_dateproduct_nameimage_urlcategory_hierarchy product_pricearrival_dateshipping_chargesis_sold_out discountmrppage_urlproduct_url number_of_ratingsavg_ratingpositioncountry_code othersshipping_charges_jsonproduct_price_jsonmrp_json discount_json

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 listings with all 25 columns.

Sample is free, no signup and no card. Check the fields before you buy — files are not refundable once delivered.

Coverage

Captured every morning across the Reliance Digital online catalogue. The supplied sample is weighted towards smartphones, where price movement is heaviest.

Field	Filled in sample	What it tells you
`mrp` / `product_price`	50 of 50	Price is present even on sold-out listings here
`discount`	33 of 50	A third of listings sat at full MRP with no discount
`avg_rating`	21 of 50	Ratings are thin — treat as a weak signal in this category
`is_sold_out`	40 sold out, 10 live	Supply and model-transition signal
Price range observed	₹16,499 – ₹2,14,999	Breadth from mid-range phones to flagship devices
`shipping_charges` / `page_url` / `position`	0 of 50	Not populated for this source

Only tracking one category or a competitive set of models? Send the list and we will price a narrower file, which costs considerably less than the full catalogue.

Historical data

The last 30 days come with the dataset. Beyond that we hold Reliance Digital records from February 2025 onwards — enough to cover a full festive season, which in consumer durables is when almost all the price movement happens.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 25 columns — store-level stock and exchange or bank offer capture are the most requested additions, along with competitor SKU matching against Croma and Vijay Sales.

Request custom fields

“MRP in electronics is close to fiction, and every report we had was built on it. Having the actual price next to it on every row changed what our discount reporting even meant.”

Arjun Thakur · Trade MarketingConsumer electronics brand, India · downloaded the sample, bought the same day

What people use this dataset for

Electronics brands

Track street price against MRP on your own models and competitors', and see where the channel discounts hardest.

Channel and trade teams

Benchmark this retailer against your other channels and catch listings that have gone out of stock.

Category managers

Watch discount depth and availability move through the festive cycle at model level.

Analysts

Price and assortment series for a specialist electronics retailer, joinable with our other retail files.

No procurement cycle. Card payment, invoice on the spot. Most buyers are querying data the same afternoon.

Maintenance is ours. When Reliance Digital changes its layout, the file you receive does not change shape.

Analysis-ready. Loads straight into Excel, Power BI, Tableau, BigQuery or a pandas notebook.

Cancel whenever. The feed runs to the end of the period you paid for, then stops. No notice, no fee.

About Reliance Digital electronics data

Reliance Digital is Reliance Retail's electronics chain and one of the two largest organised players in Indian consumer durables, alongside Croma. Because electronics pricing is driven by manufacturer schemes, exchange offers and bank promotions rather than simple markdowns, the gap between MRP and street price carries more information here than in most categories.

Why MRP and price both matter

In the supplied sample an iPhone 15 showed a 14% gap between MRP and selling price while the iPhone 14 and 13 beside it carried none — same brand, same shelf, same morning. Measuring either number alone tells you very little; the gap between them, tracked over time, is the signal.

Reading sold-out status in consumer durables

Forty of the fifty sampled listings were flagged sold out, and unlike most retailers the price is still recorded on those rows. In electronics a sold-out flag more often reflects channel supply, model transitions and allocation than demand. Pair it with arrival_date, which tells you whether the retailer still expects to fulfil.

Why ratings are thin here

Twenty-one of fifty sampled listings carried a rating. Indian electronics buyers review far less than apparel or beauty buyers, and high-value models often launch with none. Treat avg_rating as a weak signal in this category and lean on price and availability instead.

Is collecting this data legal?

Collecting publicly visible product and price information is generally lawful in most jurisdictions. Actowiz collects only public pages, respects robots.txt and platform terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and this dataset carries documented provenance so your legal team can review the source before you buy.

Frequently asked questions

No. This is the online catalogue. Store-level stock is the most requested addition on this dataset and we can build it, but it is a custom feed rather than this file.

Not in the standard 25 columns. Exchange values and bank promotions are a meaningful part of electronics pricing in India and we can add them on a custom feed, scoped free.

shipping_charges, page_url and position came through empty across the whole sample. The first two do not apply to this source; position is populated on search-sourced rows.

Identical 25-column schema, different retailer, so the two join cleanly for a head-to-head on the same models. Most electronics brands watching this category take both.

Immediately. The file already exists because the pipeline runs every morning whether you buy it or not. Most vendors start collecting after you order, which is why they quote a lead time — here the current file is in your account within minutes, with an API key.

Yes. 50 real rows with every field and a data dictionary, no signup and no card. Please use it — checking the fields against your own requirement takes five minutes and prevents almost every problem we see.

Excel and CSV are included. JSON and Parquet are available on request at no extra cost.

Yes, and the key comes with the dataset at no extra charge. It is unmetered for the data you have bought, with a fair-use rate limit documented in the API reference.

Data files are not refundable once delivered, which is why the sample matters. One exception: if a delivered file does not match the field list on this page, that is our error and we fix it or refund that month.

Any time from your account. The feed keeps running until the end of the period you have paid for, then stops. No notice period and no cancellation fee.

We email you 30 days before any field is added, renamed or removed, and we never remove one inside a period you have already paid for.

The last 30 days are included. Beyond that we hold records from February 2025 onwards for the products on this feed. Ask and we will confirm exactly what exists for yours.

Internal use across your whole organisation with unlimited seats. Redistributing the data, reselling it, or embedding it in a product you sell needs a separate licence — tell us what you have in mind.

Of course, though nothing on this page requires it. If you would rather have a call before buying, use the contact form and ask for the datasets team.

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Reliance Digital India Daily Electronics Product & Pricing Dataset

What you get, in plain terms

Category tree as structured JSON

MRP against actual price

Sold-out status and ratings

However you want it

Fields included in this dataset

Sample rows from the real file

Coverage

Historical data

Need more data points?

What people use this dataset for

Electronics brands

Channel and trade teams

Category managers

Analysts

About Reliance Digital electronics data

Why MRP and price both matter

Reading sold-out status in consumer durables

Why ratings are thin here

Is collecting this data legal?

Frequently asked questions

Does this include in-store stock?

Are exchange and bank offers captured?

Why are three columns empty in the sample?

How does this compare with the Croma dataset?

How soon can I download the data after paying?

Is the sample really free?

What format does it come in?

Can I get it as an API instead of a file?

Is it refundable?

Can I cancel?

What if the fields change?

Do you have historical data?

What licence do I get?

Can I speak to someone first?

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