VS Code Marketplace Scraper

Scrape the Visual Studio Code Marketplace for extension intelligence: install counts, average rating, rating count, publisher, latest version, categories and tags — straight from the official public gallery API. No API key, no login, no browser. Datacenter-proxy friendly and fast.

Perfect for developer-tool market research, competitor tracking, and extension discovery.

What it does

Two modes:

• search — pass search terms (e.g. python, docker, ai) and get every matching extension, paginated.
• extensions — pass exact extension ids (publisher.name, e.g. ms-python.python) and get those exact extensions.

One clean JSON row per extension, with install counts in the millions where they exist (e.g. ms-python.python returns 200M+ installs).

Example input

{
  "mode": "search",
  "queries": ["python", "gitlens"],
  "maxItems": 100
}

Exact-id mode:

{
  "mode": "extensions",
  "extensionIds": ["ms-python.python", "eamodio.gitlens"],
  "maxItems": 50
}

Input reference

Field	Type	Description
mode	select	search (search text → extensions) or extensions (exact ids). Default search.
queries	array	Search terms for search mode. Default ["python","gitlens"].
extensionIds	array	Exact publisher.name ids for extensions mode. Default ["ms-python.python"].
maxItems	integer	Max extensions across all queries (1–1000). Default 100.

Output

Each dataset item:

{
  "extension_id": "f1f59ae4-9318-4f3c-a9b5-81b2eaa5f8a5",
  "name": "python",
  "display_name": "Python",
  "publisher": "ms-python",
  "publisher_display": "Microsoft",
  "short_description": "Python language support ...",
  "installs": 228374993,
  "average_rating": 4.2047,
  "rating_count": 630,
  "trending_daily": 0.00134,
  "version": "2026.5.2026070801",
  "last_updated": "2026-07-08T11:35:23.263000+00:00",
  "categories": [],
  "tags": [],
  "url": "https://marketplace.visualstudio.com/items?itemName=ms-python.python",
  "source": "vscode",
  "scraped_at": "2026-07-20T00:00:00+00:00"
}

All fields are nullable so partial data never breaks a run.

Use cases

• Developer-tool intelligence — track install growth and ratings for any category.
• Market research — size a niche by summing installs across matching extensions.
• Competitor tracking — monitor a rival publisher's extensions, versions and ratings.
• Extension discovery — surface trending or high-rated tools for a keyword.

Pricing

Cheap: about $0.5 per 1,000 extensions. The gallery API is fast and needs no proxy, so runs are quick and predictable.

Related actors

• GitHub Scraper
• npm Package Scraper
• GitHub Trending Scraper
• PyPI Scraper

Keywords

vs code marketplace scraper, vscode extensions api, extension installs, extension ratings, developer tools intelligence, visual studio code extensions, marketplace data, publisher analytics, extension discovery, dev tool market research