VS Code Extensions Scraper (Deep)

Go beyond a plain list. For every Visual Studio Code extension this scraper returns the full version history with dates, the rating breakdown and review count, categories and tags, dependencies and extension pack, engine, pricing, pre-release status, plus repository, license, changelog and Q&A links. Search by keyword or category and export clean structured data for ecosystem research, competitive teardown and technical due diligence.

Version history recent releases and dates

Ratings & reviews average, weighted, review count

Deps & pack plus repo, license, changelog

What you get

Each record is one VS Code extension, enriched far beyond the marketplace list view:

• displayName, extensionName, itemName: the friendly name, the id slug and the full publisher.name id
• publisherName, publisherDisplayName, publisherDomain, publisherVerified, isDomainVerified: who ships it
• installs, downloads, updateCount: adoption and activity signals
• averageRating, weightedRating, ratingCount: the full rating breakdown and how many reviews back it
• trendingDaily, trendingWeekly, trendingMonthly: momentum scores
• latestVersion, versionCount, versionHistory: the current version plus the recent release timeline (version, date, target platform)
• lastUpdated, publishedDate, releaseDate: freshness and age
• categories and tags: how it is classified
• engine: the minimum VS Code version it targets
• extensionKind, pricing, preRelease: where it runs, whether it is free, and pre-release status
• dependencies and extensionPack: which extensions it depends on or bundles
• repoUrl, sourceUrl, supportUrl, learnUrl: project links
• licenseUrl, changelogUrl, readmeUrl, iconUrl: direct asset links
• qnaEnabled, qnaUrl: whether Q&A is on and where
• marketplaceUrl, extensionId, observedAt: listing link, id and capture time

Who is it for

Use case	Who benefits
Ecosystem research	Analysts mapping category leaders, release cadence and dependency graphs
Competitive teardown	Teams studying a rival extension's version timeline, ratings and bundled packs
Technical due diligence	Investors and buyers checking maintenance, license and repository signals
Trend spotting	PMs watching trending and fast growing extensions

How to use it

1. Enter a search keyword (for example python, docker, ai) or leave it empty to browse broadly.
2. Optionally set a category and choose a sort (installs, rating, updated, trending or relevance).
3. Set Max Extensions To Scrape and run. Export as JSON, CSV or Excel, or pull it through the Apify API.

Frequently Asked Questions

How is this different from a basic marketplace list? Every record carries the full version history with dates, the complete rating breakdown, the dependency and extension-pack lists, and direct repository, license, changelog and Q&A links, not just installs and a rating.

What does versionHistory contain? The recent releases for the extension, each with its version string, publish date and target platform, so you can see how often it ships.

Can I focus on one category or topic? Yes. Use a search keyword, a category such as Linters or Machine Learning, or both together to narrow the results.

How fresh is the data? Everything is read live at run time, so each record reflects the listing at the moment of the run (see observedAt).

Related scrapers

• VS Code Marketplace Extensions & Publishers Scraper
• VS Code Publishers Scraper
• Polymarket Prediction Markets & Odds Scraper

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This actor is built and maintained by scrapers.lat, where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at scrapers.lat.

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This actor is an independent tool and has no affiliation with Microsoft or Visual Studio Code. It only accesses publicly available marketplace data. Use the results in accordance with the source's terms.