Prices and discounts in columns
Store search results and category pages become rows with game name, current price, discount, original price, release date, and review summary such as "Very Positive".
Steam Scraper
DataLens is a free Chrome extension that exports Steam store listings and user reviews to Excel or CSV — no code, no Steam API key. On store search results and category pages it captures game name, price, discount, original price, release date, and review summary; on a game's Steam Community reviews page it captures the recommendation, hours played, date, and review text.
Store search results and category pages become rows with game name, current price, discount, original price, release date, and review summary such as "Very Positive".
From a game's Steam Community reviews page, collect each review's recommendation, hours on record, posting date, helpful count, and full text.
DataLens runs inside your browser, so regional prices, age-gated pages you have already confirmed, and anything Steam shows your account are read exactly as you see them.
An indie studio planning its launch price exports the games under a genre tag, with prices, discounts, and review summaries, to see where comparable games are priced and how deep their sales go.
A game designer exports the negative Steam reviews of a competing title, sorts them by hours played, and groups the recurring complaints into a list of design pitfalls to avoid.
A deals newsletter writer exports the current Specials search results into a sheet, filters by discount and review summary, and picks the week's recommendations from it.
Open the Steam list you want in Chrome: a search at store.steampowered.com/search (add filters such as Specials or a tag), a category or genre page on the store, or a game's reviews at steamcommunity.com/app/<appid>/reviews. Or switch DataLens to AI scraping and describe it — "discounted RPGs with Very Positive reviews" — and the AI runs the Steam search and pages through the results.
Click the DataLens icon in the toolbar. The AI detects the repeating game rows or review cards and proposes columns: name, price, discount, release date, and review summary, or recommendation, hours played, date, and review text. Untick what you don't need; detecting the list and previewing columns are free.
Start the scrape. DataLens scrolls and pages through the list for you, adding rows as Steam loads more games or reviews. Stop any time and export to Excel (.xlsx), CSV, or JSON.
Short answers to what people usually ask before installing.
No. DataLens is a Chrome extension that reads Steam store and Steam Community pages as they appear in your browser, so scraping Steam with it needs no Steam Web API key, no code, and no proxy setup.
Yes. Open the game's reviews on Steam Community (steamcommunity.com/app/<appid>/reviews) and run DataLens; it scrolls the page to load more reviews. Each row has the recommendation, hours on record, posting date, helpful count, and review text, and you can export to Excel (.xlsx), CSV, or JSON.
Yes. Run a search on store.steampowered.com/search — for example with the Specials filter — and DataLens collects every game row Steam loads, with current price, discount, original price, release date, and review summary. Prices are the ones Steam shows for your store region and currency.
Yes. DataLens runs inside your own browser session, so it reads Steam exactly as your account sees it, including pages behind an age check you have already passed. It does not fetch pages through proxies or cloud servers.
DataLens is free to install, and new accounts get 100 free points. Each scraped row — one game or one review — costs 1 point, so your first 100 Steam rows are free; detecting the list and previewing columns cost nothing. Popular games can have a very large number of reviews, so decide how many you need before you start.
Try it on your page
Install the extension and open the page you need. DataLens finds the lists on it and proposes columns; check them, let it scroll or follow pagination, then download Excel, CSV or JSON. No code, no API key, no proxy.
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