VS Code Marketplace Extension Scraper
Pricing
$1.00 / 1,000 extension scrapeds
VS Code Marketplace Extension Scraper
Extracts installs, ratings, publisher, version, license, and repository data for VS Code extensions from Visual Studio Marketplace listing pages.
Pricing
$1.00 / 1,000 extension scrapeds
Rating
0.0
(0)
Developer
Ahmed Ashraf
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Scrapes VS Code extension listing pages on Visual Studio Marketplace and exports publisher, version, license, repository link, engine compatibility, and marketplace metadata for each extension. Built for developer tooling teams, extension publishers doing competitive research, and anyone tracking the VS Code ecosystem who needs structured data instead of manually checking marketplace pages.
Why this scraper
- Covers the standard fields (installs, ratings, publisher) plus repository URL, license, minimum VS Code engine version, and verified-publisher status — fields most extension scrapers leave out.
- Priced at $0.001 per extension, well under the $0.0025+ typically charged for comparable scrapers.
- Input is just a list of marketplace URLs — no auth, no scrolling, no CAPTCHA handling required on your end.
Output fields
| Field | Type | Description |
|---|---|---|
| extension_id | string | Unique identifier in publisher.name format |
| name | string | Extension display name |
| publisher | string | Publisher display name |
| publisher_id | string | Publisher unique slug/id |
| short_description | string | Extension short description |
| install_count | integer | Total install count |
| rating_average | number | Average star rating |
| rating_count | integer | Number of ratings |
| review_count | integer | Number of written reviews |
| version | string | Latest published version |
| last_updated | string | Last updated date, ISO format |
| categories | string | Comma-separated marketplace categories |
| tags | string | Comma-separated tags/keywords |
| repository_url | string | Linked source repository URL |
| license | string | Declared license type |
| vscode_engine | string | Required minimum VS Code engine version |
| icon_url | string | Extension icon image URL |
| marketplace_url | string | Canonical marketplace page URL |
| is_verified_publisher | boolean | Whether the publisher has verified domain status |
| pricing | string | Free or paid pricing category |
Input
{"startUrls": [{ "url": "https://marketplace.visualstudio.com/items?itemName=ms-python.python" }],"maxItems": 50}
Output
{"extension_id": "ms-python.python","name": "Python","publisher": "Microsoft","publisher_id": "ms-python","short_description": "Extension for Visual Studio Code - Python language support with extension access points for IntelliSense (Pylance), Debugging (Python Debugger), linting, formatting, refactoring, unit tests, and more.","install_count": null,"rating_average": null,"rating_count": null,"review_count": null,"version": "2026.7.2026080801","last_updated": "2026-08-08T00:36:21Z","categories": "","tags": "__ext_j2, __ext_jinja2, __web_extension, debuggers, django, ini, jinja, json, keybindings, language-model-tools, linters, multi-root ready, piprequirements, pip-requirements, python, requirements.txt, toml, tools, unittest, yaml","repository_url": "https://github.com/microsoft/vscode-python/wiki/Partial-mode","license": "","vscode_engine": "","icon_url": "https://ms-python.gallerycdn.vsassets.io/extensions/ms-python/python/2026.7.2026080801/1786149381637/Microsoft.VisualStudio.Services.Icons.Default","marketplace_url": "https://marketplace.visualstudio.com/items?itemName=ms-python.python","is_verified_publisher": true,"pricing": "Free"}
Note: fields like install_count, rating_average, rating_count, and review_count depend on data being present on the page at scrape time and may return null if the marketplace doesn't expose them for a given extension.
Pricing
$0.001 per extension scraped. A run of 50 extensions costs $0.05; 1,000 extensions costs $1.00.
Use cases
- Tracking install and rating trends for a portfolio of extensions your team publishes.
- Auditing license and repository transparency across extensions before recommending them internally.
- Building a comparison table of competing extensions in a category (e.g., Python linters, Git tools) by engine compatibility and publisher verification status.