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Woohoo India Daily Gift Voucher Discount Rate Dataset

A daily file of every gift voucher listed on Woohoo, with the brand, SKU, headline discount rate and the payment-method offers attached to it. Six clean columns, no parsing, one row per voucher SKU.

This is not product pricing. It tracks how much a brand's voucher is discounted on a voucher marketplace — a large, lightly watched discount channel in India that is entirely invisible to anyone monitoring shelf prices.

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

1,740 voucher SKUs per run

6 fields, all listed below

This dataset was last updated on 05-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. This is a small, focused file — if you want product-level pricing, it is not this dataset.

Headline discount rate per brand

The rate as displayed, brand by brand. In the supplied sample these ran from 1% to 18% across 50 brands.

Payment-method offers kept separately

comments carries offers tied to a card or payment route — “Discount on Debit Card Payments | Get 7% Discount” — which stack on top of the headline rate.

Directly comparable with Gyftr and Hubble

Same shape as our other two voucher files, so all three join on brand and the rate gap between platforms becomes a column.

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 6 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.

skusku_namebranddiscount product_urlcomments

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 voucher SKUs with all 6 columns.

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

Coverage

Every brand listed on the Woohoo marketplace, refreshed every morning. The supplied sample covers 50 distinct brands.

Metric	In the supplied sample	What it tells you
Brands covered	50	One row per brand voucher SKU
Discount range seen	1% – 18%	Wide spread — fashion and jewellery sit high, grocery low
Rows with a payment offer	32 of 50	Roughly two thirds carry a card-specific rate on top
Rows reading “Not Found”	16 of 50	Rate not displayed at capture — treat as absent, not zero

Only tracking your own brand and a competitive set? Send the brand list and we will price a narrower file. Tracking the same brands across Woohoo, Gyftr and Hubble together is the most common setup.

Historical data

The last 30 days come with the dataset. Beyond that we hold Woohoo records from June 2025 onwards — enough to see how voucher rates moved through the festive quarter, which is when they move most.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 6 columns — denomination-level rates are the most requested addition, along with voucher validity terms and the Gyftr and Hubble rates joined onto the same row.

Request custom fields

“Three voucher platforms, the same brands, three different rates. Once we could see all three in one file the arbitrage was obvious — and so was the governance problem on our own brand.”

Rohan Desai · Channel HeadIndian fashion retailer · downloaded the sample, bought the same day

What people use this dataset for

Brands issuing vouchers

See what your own voucher sells at, and whether the effective discount exceeds what your own channels may offer.

Competitive intelligence

Track competitor voucher rates day by day — they move faster and more quietly than shelf prices.

Corporate gifting and procurement

Compare effective rates across brands and across the three major platforms before a bulk purchase.

Fintech and rewards teams

Benchmark your rewards catalogue against the open voucher market.

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

Maintenance is ours. When Woohoo 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 Indian gift voucher data

Gift vouchers are a large and lightly watched discount channel in India. A brand that will not cut shelf price will often allow its voucher to sell several percent below face value on a marketplace, and a customer stacking a card offer on top can land well below the brand's own promotional floor.

Why the headline rate is not the whole discount

comments carries payment-method offers — a debit card rate, a specific bank's rate — which apply on top of the headline. In the supplied sample two thirds of rows carried one. A brand showing 8% headline with a further 7% on debit card is effectively discounting closer to fifteen percent for a customer who knows to combine them.

Reading “Not Found”

discount is a text field and it sometimes reads “Not Found” rather than being blank. That means the rate was not displayed when the page was captured, usually because the voucher was temporarily unavailable. In the supplied sample it occurred on 16 of 50 rows. Filtering it out is correct; treating it as zero percent is not.

Why this pairs with Gyftr and Hubble

The three platforms list largely the same brands at different rates on the same day. Taken together they give you a complete picture of what your brand's voucher actually costs a buyer — and where the arbitrage sits. All three files share the same shape and join on brand.

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 file tracks gift voucher discount rates by brand, not the price of individual products. If you need product-level pricing for these brands we run separate datasets for most of the major Indian platforms.

Because the rate was not displayed at capture, usually because the voucher was temporarily unavailable. It happened on 16 of 50 rows in the supplied sample. Filter it out rather than reading it as zero.

Yes, and it is the most common request. Same brands, three platforms, one row per brand per platform per day — so the rate gap is a column rather than a join you maintain yourself.

Payment-method offers as displayed — for example “Discount on Debit Card Payments | Get 7% Discount”. These stack on top of the headline rate. Roughly two thirds of sampled rows carried one.

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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Woohoo India Daily Gift Voucher Discount Rate Dataset

What you get, in plain terms

Headline discount rate per brand

Payment-method offers kept separately

Directly comparable with Gyftr and Hubble

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

Brands issuing vouchers

Competitive intelligence

Corporate gifting and procurement

Fintech and rewards teams

About Indian gift voucher data

Why the headline rate is not the whole discount

Reading “Not Found”

Why this pairs with Gyftr and Hubble

Is collecting this data legal?

Frequently asked questions

Is this product pricing data?

Why is discount sometimes “Not Found”?

Can I get Woohoo, Gyftr and Hubble in one file?

What is in the comments column?

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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