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Sangeetha Mobiles India Daily Smartphone 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.

A daily file of the Sangeetha Mobiles catalogue — one of South India's largest mobile retail chains — with 25 columns covering price, MRP, discount, sold-out status, category hierarchy and promised arrival date.

This is a specialist mobile retailer rather than a general electronics chain, and it prices like one. In the supplied sample 37 of 50 listings carried a discount, with consistent 14–16% cuts across the Samsung range — noticeably more uniform than the large-format chains.

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

42,000 listings per run, full catalogue

25 fields, all listed below

This dataset was last updated on 28-Oct-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. This is a narrower, mobile-focused catalogue than the large electronics chains — which is exactly why it is useful alongside them.

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.

Consistent discounting to benchmark against

Thirty-seven of fifty sampled listings were discounted, mostly in a tight 14–16% band. That consistency makes it a clean reference point for street price.

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 Sangeetha Mobiles online catalogue, which is concentrated in smartphones.

Field	Filled in sample	What it tells you
`mrp` / `product_price`	50 of 50	Price present on every row, including sold-out listings
`discount`	37 of 50	Discounting is the norm here, not the exception
`avg_rating`	5 of 50	Ratings are very thin — do not build on this field
`is_sold_out`	35 sold out, 15 live	Typical for a specialist mobile retailer's online catalogue
Price range observed	₹12,999 – ₹1,59,999	Entry-level through flagship
`shipping_charges` / `page_url` / `position`	0 of 50	Not populated for this source

Only tracking a competitive set of models? Send the list and we will price a narrower file. Most brands take this alongside Croma and Reliance Digital for a three-way street-price comparison.

Historical data

The last 30 days come with the dataset. Beyond that we hold Sangeetha records from February 2025 onwards.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 25 columns — store-level stock across the branch network is the most requested addition, along with exchange offer capture and competitor SKU matching.

Request custom fields

“The big chains discount unevenly and the specialists do not. Having Sangeetha alongside Croma gave us a street price we could actually defend in a pricing meeting.”

Karthik Venkat · Regional Trade ManagerSmartphone brand, South India · downloaded the sample, bought the same week

What people use this dataset for

Smartphone brands

Track street price on your models at a specialist retailer, where discounting is more consistent than at general chains.

Trade and channel teams

Benchmark South India pricing against national chains and your own direct channels.

Category managers

Watch which models are discounted and which hold price, run over run.

Analysts

A clean regional price series that joins to our Croma and Reliance Digital files on the same schema.

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

Maintenance is ours. When Sangeetha Mobiles 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 Sangeetha Mobiles data

Sangeetha Mobiles is one of South India's largest specialist mobile retail chains. Because it sells phones rather than a broad electronics range, its pricing is more uniform than the large-format chains — which makes it a useful reference point rather than just another data source.

Why a specialist retailer prices differently

In the supplied sample 37 of 50 listings were discounted, mostly in a tight 14–16% band across the Samsung range. Large general chains discount far more unevenly, with deep cuts on some models and nothing on others. A specialist's consistent margin makes its price a better proxy for genuine street price.

Ratings are essentially absent here

Only 5 of the 50 sampled listings carried any rating at all — the thinnest we see on any Indian electronics retailer. That is normal for a chain whose customers mostly buy in store. Do not build demand analysis on avg_rating from this source; use price and availability.

Why take this alongside the big chains

Identical 25-column schema to our Croma and Reliance Digital datasets, so all three join on the same fields for a head-to-head on the same models. A brand looking at one retailer sees a price; a brand looking at three sees a market.

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

Only 5 of 50 in the supplied sample did — the thinnest of any Indian electronics retailer we collect. Sangeetha's customers mostly buy in store, so online reviews are rare. Use price and availability instead.

Just the online catalogue. Store-level stock across the branch network is the most requested addition on this dataset and we can build it as a custom feed.

Yes — identical 25-column schema, so all three join cleanly for a head-to-head on the same models. Most brands watching this category take at least two.

shipping_charges, page_url and position came through empty across the whole sample. The first two do not apply to this source.

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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Sangeetha Mobiles India Daily Smartphone Pricing Dataset

What you get, in plain terms

Category tree as structured JSON

MRP against actual price

Consistent discounting to benchmark against

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

Smartphone brands

Trade and channel teams

Category managers

Analysts

About Sangeetha Mobiles data

Why a specialist retailer prices differently

Ratings are essentially absent here

Why take this alongside the big chains

Is collecting this data legal?

Frequently asked questions

Why do so few listings have ratings?

Does this cover the store network or just online?

Does this join to your Croma and Reliance Digital files?

Why are three columns empty in the sample?

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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