Etala
…build scrapers in-house?
Weeks of engineering for each store, then more work every time the site changes.
Etala: a tested crawler in about 15 minutes, no engineers on your side.
Any store's product data,
ready in 15 minutes.
Send a link. Our AI agent builds and tests a crawler for that store, then delivers prices, discounts, stock, ratings and rankings: once, or fresh every day on subscription. No scraping team required.
Free to join · No card needed · We set up the stores you name first
Running shoes · store-a.com · today vs yesterday
Example data
| Rank | Product | Price |
|---|---|---|
| #1▲ 2 | Cloud RunnerCompetitor A | |
| #2▼ 1 | Trail Runner 2Your brand | $119 |
| #3Sponsored | Road RacerCompetitor B | $99 |
| #4 | Daily TrainerCompetitor C |
~15 minto add a new store
16stores already live
Dailyrefresh on subscription
1schema for every store
Why not just…
The AI writes the crawler once. Every run after is just code.
That's why a new store takes minutes, a daily refresh stays cheap, and every number is read straight from the store.
…use an AI tool that reads pages?
It runs a language model on every page, every run: you pay per page, it slows down at scale, and it can return a value that isn't on the page.
Etala: AI only at setup. Daily runs are plain code: fast, cheap, and every value comes from the page.
…buy from a price-tracking vendor?
You get the stores on their list. A store you need that isn't covered means a request and a wait.
Etala: any public store you name, added in about 15 minutes.
Built for
Anyone who needs to know what's on the shelf
Brands
See your shelf the way shoppers do: your price, rank and stock next to every competitor, store by store.
Retailers
Track competitor prices, discounts and assortment across stores and catch every markdown the day it happens.
Research and analysts
Market and web research at scale: every product in a category, across stores, in one clean table.
Coming next
Change alerts between runs: a competitor's price drop, a new discount, a stock-out or a rating slide, the moment it happens.
How it works
From a link to a data feed
Send a link
Any category or search page from any online store.
The agent builds it
About 15 minutes later, a tested crawler for that store is live.
Subscribe
Get the data once, or daily or weekly, as CSV or JSON.
For data teams
One schema for every store
A sneaker on one store and the same sneaker on another land in the same columns, so you join, not clean.
- List price, selling price and currency
- Rank, organic rank and sponsored flag
- Rating, review count and availability
- GTIN, seller, variants, specs and category path from product pages
- Validated against the schema on every run
// one listing record { "site": "store-a", "product_name": "Cloud Runner", "product_brand": "Competitor A", "product_mrp": 129, "selling_price": 109, "selling_currency": "USD", "product_rating": 4.6, "product_review_count": 1204, "product_availability": "in_stock", "position": 1, "is_sponsored": false, "crawled_at": "2026-10-19T06:00:00Z" }
FAQ
Questions
What is Etala?
Etala turns any online store into clean product data. Send a category or search link; an AI agent builds and tests a crawler for that store in about 15 minutes, and you get prices, discounts, stock, ratings and rankings as CSV or JSON, once or on a schedule.
How fast can Etala add a new store?
About 15 minutes. If we already cover the store, it is ready now. If not, our AI agent studies the site, writes a crawler and tests it, with no engineering work on your side.
Can I get fresh data on a schedule?
Yes. Subscribe to the stores and categories you care about and get them refreshed daily or weekly as CSV or JSON. Every run is validated against the schema before it is delivered.
Why does it cost less than building scrapers?
An AI agent does the work engineers usually do: studying the site, writing the crawler and testing it. You pay for the data, not for a scraping team or the weeks it takes to build and maintain one.
How is Etala different from AI scraping tools?
Most AI scraping tools run a language model on every page, on every run. Etala's agent uses AI once, to write and test a crawler for the store. Every run after that is plain code: faster, far cheaper per page, and every value is read from the page rather than generated.
Who uses Etala?
Brands watching their shelf and their competitors, retailers tracking competitor prices and assortment, analysts doing market and web research, and data teams who need clean product feeds without running scrapers.
Which stores can Etala track?
Any public online store. Etala already runs on large US and Indian stores in fashion, footwear, home improvement, furniture and general marketplaces, and adds new stores in about 15 minutes.
What data do I get?
For each product on a listing: name, brand, list price, selling price and currency, rating, review count, availability, position on the page and whether the slot is sponsored. Product pages add GTIN, seller, variants, specs, images and the category path.
What does Etala cost?
Pricing is being set with our first customers. Joining the waitlist is free, and people on it hear about pricing first.
Early access
Get your stores' data first.
- Tell us your stores. We set up the ones you care about before anyone else's.
- Live in minutes. Each new store takes about 15 minutes once your spot opens.
- Once or on subscription. A one-off pull, or daily or weekly runs.
- First to hear pricing. It's being shaped with our first customers, so early members have a say.
- Free to join. No card, no commitment. We onboard a few teams at a time.