Engadget changed owners and platforms in 2026, and its reviews, guides and deal posts changed shape with it. We turn both eras into one clean table of ratings, prices and retailers.
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Engadget pages, filters, fields and a schedule
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ScrapeIt runs Engadget data scraping as a managed service: we build the collector, run it on our own infrastructure and repair it when the site changes, as it did in 2026 when new pages began to appear beside the migrated archive. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service. We extract Engadget data from public pages only, with no login and at a measured pace, and use the sitemaps and the archive for discovery. Guides and deal posts change in place, so each run keeps a dated snapshot and every change becomes a row of its own. Ratings arrive both as printed and normalized, records are deduplicated on post id and URL across both generations, and a sample comes first. Delivery is CSV, JSON or XLSX, or a push to S3, SFTP or your warehouse.
Engadget reviews carry the richest record on the site, and on pages published since the move most of it also sits in structured data, so values come out exactly as the site states them.
The byline is kept as printed. The structured data also lists author biographies, education and social profiles, and the meta label names the staff who pitched and approved each headline; none of that goes into the dataset, and neither do reader comments, which load from a third-party conversation widget.
Buying guides. An Engadget buyers guide names each pick in a heading that pairs a use with a product - best budget laptop, best wireless earbuds for iPhone - then adds other products tested, a how-we-test note and FAQs. Rewritten guides send most picks to Amazon through affiliate links that carry the ASIN and a Static Media tag. Guides not yet rewritten keep Yahoo-era buttons such as See at Best Buy or See at Retroid, whose Yahoo Shopping redirect names the merchant, the item and the landing page, and often a Recent updates log that says month by month which pick replaced which. The Engadget best laptops guide and the seasonal Engadget gift guide pages follow the same pattern, so picks can be tracked over time: when a product entered, when it dropped out, what replaced it.
Deals. Engadget ran a deals desk until February 2026, and /deals/ now redirects to Buying Guides. Its output stays online. Deal posts under /deals/ from mid-2024 mostly carry a price module with deal price, original price and merchant, down to subscription offers priced per plan term, and name the percent off; years of Engadget Prime Day deals and Engadget Black Friday deals posts before that hold the prices in headline and text. That is a price history of what an editor judged worth buying, not a live price feed.
Uses. Brand and PR teams chart ratings and pros and cons for their products against rivals; retail and pricing analysts compare the reviewed price with later deal prices; commerce teams see which retailers win the buy buttons, category by category.
Engadget has reviewed and reported on consumer tech since 2004. In 2026 Static Media, the publisher behind BGR, SlashGear and Jalopnik, acquired it and moved it to a new publishing system, and that move shapes every Engadget scraper built today: one domain now serves two generations of pages, each with its own addresses, product module and scoring.
Posts from the early years live at dated addresses such as /2008-03-31-slug.html. From 2020 on, addresses end in a nine-digit suffix, as in /gaming/slug-140018863.html, and the digits read as a clock time, not a running number. Everything published since the end of April 2026 sits at /{post id}/{slug}/, with a seven-digit id that rises over time but skips numbers, so neither pattern can be walked. Older buying guides keep their Yahoo-era addresses and are updated in place.
Each page names its own content type in a meta label. Engadget tech news posts are labeled News; Short Article marks the explainers, how-tos and versus pieces that now make up most of the daily output; then come Review, Buyer's Guides, Mini-Feature - List for the Engadget review recap that runs about every two weeks, and Legacy Article for everything migrated. Engadget laptop reviews, Engadget phone reviews and Engadget tablet reviews each have a category page, alongside gaming, headphones, wearables, photography, home and smart home.
The archive index at /sitemap/ counts posts by year: in September 2026 it listed about 529,000, some 750 of them from that month alone. There is one US English edition; the old Chinese and Japanese editions no longer resolve.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsEvery Engadget post carries its headline, link, time, byline, categories, the one-line dek, a lead image and the article body; reviews add the rating, pros and cons and reviewed price, and buying guides and deal posts add picks, prices and retailers. Collecting all of it starts with finding every page, across both generations of the site.
The Engadget sitemap index splits the way the site does: post sitemaps for everything published on the new system, a long run of legacy sitemaps reaching back to 2004, and author and category sitemaps. The Google News sitemap carries no entries. The archive at /sitemap/ lists every year and month, and a month page groups posts under category headings with the headline and, for recent years, the dek and byline.
Category pages show only the latest couple of dozen posts, so complete coverage comes from the sitemaps and the archive, while freshness comes from frequent runs over the newest posts. The fields buyers pay for - ratings, pros and cons, reviewed prices, guide picks, retailer links - exist only on the pages, which is why every field is read from the page itself.
Learn how to use web scraping to solve data problems for your organization
Data scraping is the wide term that includes documents, scans and old screens; web scraping is the part that works on websites. We compare sources, daily work, output and cost drivers, give a briefing checklist and walk through two of our projects.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
ScrapeIt is a managed web scraping agency. For an Engadget dataset we agree the scope with you in writing - review categories, buying guides, the deals archive, how far back and how often - then keep the pipeline running through redesigns and ownership changes, so your series does not break when the site does. You receive finished tables, not a tool to operate. Pricing follows volume and refresh rate, and a sample built on your own categories comes before any commitment.
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Yes. The ScrapeIt Engadget API returns ratings, pros and cons, reviewed prices, retailers, headlines and bylines as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database. We find new and changed pages through the sitemaps and the archive back to 2004 and read the fields from the pages themselves.
Yes. Reviews published since the 2026 move print a rating out of 10, such as 8.7 / 10, and carry that rating, the pros and cons lists, the product name, brand and category and the reviewed price in US dollars in structured data. The reviews policy still describes a 1-100 scale, so we deliver the printed value and a 100-point one that maps onto its Recommended (80-89) and Editors' Choice (90-100) bands. Yahoo-era reviews show an Expert Score out of 100 in a product module, and unscored reviews of games, films, software and cars keep an empty score.
To 2004, with dated URLs from the first years and a year-by-month archive index. A historical backfill runs once as its own job. After that most clients take News and Short Article posts daily or several times a day, reviews daily and buying guides weekly, since guides change in place and each run is a dated snapshot; the deals archive is a one-time pull. There is a single US English edition, so no regional versions to merge. Delivery is CSV, JSON, JSON Lines or XLSX, or a push to S3, SFTP, cloud storage or your database.
Yes. The dataset carries ratings, pros and cons, prices, retailers, headlines, bylines, dates and links, and the article text itself. It is all publicly available - what any visitor sees on Engadget, now owned by Static Media - and we collect it legally. We collect public pages at a measured pace, stay out of anything behind a login and leave out author profiles and reader comments.
Yes, in two layers. The archive keeps the deal posts from mid-2024 to February 2026, mostly with deal price, original price, percent off and merchant, and years of Prime Day and Black Friday posts before them with prices in the text, which together give a price history per product. Going forward, prices come from reviews, as the reviewed price, and from buying guides, whose snapshots show a price or a pick changing between runs. Amazon links carry ASINs and Yahoo-era links carry the merchant's landing page, so picks can be joined to a retailer price feed if you need live shelf prices.
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