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Economic Times India Business News Dataset — Four Times a Day

The Economic Times is India's largest business daily, and this file captures every article it publishes, four times a day — 14 columns covering headline, standfirst, full article text, author, publication time to the minute, permalink, article ID and images.

The flow is heavy: 50 articles in under six hours in the supplied sample, from the rupee and Indian bonds to US stocks and the Supreme Court. About a third is wire copy from Reuters, PTI and ANI, labelled in author_name.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs four times a day 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
Every article the source publishes
14 fields, all listed below
This dataset was last updated on 22-Sep-2026
Delivered four times a day · 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

What you get, in plain terms

Four things. India's business newspaper of record, captured every six hours with the author and section on every row.

Section in every permalink

The permalink carries the section — markets, politics, industry — so you can filter the feed to the desks you need without a separate field.

Staff, desk or wire — on every row

author_name names the reporter, the desk (“ET Online”, “Trending Desk”) or the wire (Reuters, PTI, ANI), so original reporting can be separated from syndicated copy.

Full text with a standfirst

A median of 533 words per article, plus the one-line summary in media_title — different from the headline on 49 of 50 rows.

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 14 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.

titletextpublished_datesource domainpublication_nameauthor_namecountry media_titleurlreachweb_share article_idimages

Sample rows from the real file

Real rows from the sample file, not an illustration. The supplied sample has 50 articles with all 14 columns.

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

Coverage

Captured four times a day across economictimes.indiatimes.com. One row is one article, identified by ET's numeric article_id and permalink.

Metric In the supplied sample What it tells you
Articles 50 in 5 h 37 min 19 August 2026, 06:51 to 12:28 UTC
Sections 22 news · 13 markets · 6 industry Plus magazines, tech, NRI and jobs
Wire copy 17 of 50 Reuters 9 · PTI 6 · ANI 2
Median article length 533 words Up to 1,134 words
Author on every row 50 of 50 16 distinct authors, desks and wires
reach · web_share 0 of 50 Not published by ET — see the FAQ

Only need markets, or a set of Indian companies? Send the sections or keywords and we will price a narrower file.

Historical data

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

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 14 columns — a section field and NSE/BSE ticker tags are the most requested additions.

Request custom fields

“We run event studies on Indian mid-caps. ET breaks company news first, and the four-times-a-day feed gets it to us with the timestamp we need.”

PS
Priya Sharma · Quant ResearchMumbai asset manager · downloaded the sample, bought the same week

What people use this dataset for

Media monitoring and PR

Track every mention of your company, executives and competitors the day it is published.

Investment and risk teams

Feed timestamped headlines and article text into event studies, sentiment and alerting models.

Market and policy intelligence

Follow a sector, a country or a regulator through the outlet its decision-makers read.

Data and AI teams

Build search, retrieval and evaluation sets on clean, structured article text with full provenance.

No procurement cycle. Card payment, invoice on the spot. Most buyers are querying data the same afternoon.
Maintenance is ours. When Economic Times 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 Economic Times news data

The Economic Times is India's most-read business newspaper and one of its busiest news sites. Its coverage runs from Indian markets, the RBI and corporate results to national politics, courts and international business.

What six hours of ET looks like

The sample ran from the rupee hitting a three-week low as the RBI stood guard, oil pinning Indian bonds in a range and India ranking as Asia's least-favoured market in a BofA poll, to Supreme Court orders on the coal scam, McDonald's nearing Dividend King status and lifestyle pieces from ET Panache. Fifty articles in under six hours — which is why a once-a-day capture falls behind.

Original reporting versus wire copy

17 of 50 sampled articles were credited to Reuters, PTI or ANI, and another 16 to ET's own desks such as “ET Online” and “Trending Desk”. Because author_name keeps that distinction, you can weight or filter syndicated copy in any model.

Two things to plan for

Column names are lower-case with underscores — published_date, author_name — unlike our other news feeds, so map them if you combine sources. reach and web_share are empty on every row, and ET runs lifestyle and travel content alongside business; filter on the section in the permalink.

Is collecting this data legal?

We collect only publicly accessible pages, respect robots.txt and platform terms, and align with GDPR and CCPA — the only personal data in the file is the public byline a publisher prints. Article text remains the publisher's copyright: the standard licence covers internal analysis such as monitoring, research and signal extraction, not republishing. Each row carries its permalink and publication time as documented provenance, so your legal team can review the source before you buy.

Frequently asked questions

Use author_name. It names Reuters, PTI or ANI on wire copy — 17 of 50 sampled rows — and the reporter or desk on everything else.
The Economic Times does not publish audience or share counts, so both are empty on every sampled row. They are kept so the file shares one schema with our other news feeds.
The source is re-captured every six hours and each run adds the articles published since the last one. You get four incremental files a day — or one rolling file through the API — so new articles reach you within hours, not the next morning.
Immediately. The pipeline runs on its schedule whether you buy it or not, so the current file is in your account within minutes, with an API key. Most vendors start collecting after you order, which is why they quote a lead time.
Yes. Real rows with every field and a data dictionary, no signup and no card. Check the fields against your own requirement before you buy — it takes five minutes and prevents almost every problem we see.
Excel and CSV are included, UTF-8 encoded so Japanese, Turkish, Spanish and other non-English text survives intact. JSON and Parquet are available on request at no extra cost — JSON is usually the better fit for long text.
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.
Yes. Every row carries its permalink, and the section is part of it — markets, politics, industry and so on. Tell us which sections or keywords you need and we will price a narrower file.
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 Economic Times articles from February 2025 onwards. Ask and we will confirm exactly what exists for the topics you care about.
Internal use across your whole organisation with unlimited seats. Article text stays the publisher's copyright, so republishing it, reselling the data or training a model you sell needs separate rights — 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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