VS Code Publishers Scraper (Leads: Domain, Installs)
Publisher-centric VS Code Marketplace scraper. Each record is a publisher with website domain, domain verification, verified badge, total installs across all their extensions, extension count and top extensions. Build devtool vendor lead lists. Export to JSON, CSV or Excel.
{ "publisherName": "vscode-icons-team", "displayName": "VSCode Icons Team", "publisherId": "652ad61d-3a6a-48ca-ab1a-80dc8953b2b6", "domain": "https://vscodeicons.team", "isDomainVerified": true, "verified": true, "extensionCount": 1, "totalInstalls": 24287007, "totalDownloads": 112131 }
各実行で、型が揃ったきれいなレコードを返します。CRM・スプレッドシート・データベースにそのまま使えます。
- 結果ごとに 1 レコード、重複排除・正規化済み
- JSON・CSV・Excel の安定したスキーマ、または Apify API で読み取り
- クラウドで従量課金。インストールも保守も不要
実際の 1 レコード例。受け取る形そのままです。
| Publisher Name | Display Name | Publisher Id | Domain |
|---|---|---|---|
| vscode-icons-team | VSCode Icons Team | 652ad61d-3a6a-48ca-ab1a-80dc8953b… | https://vscodeicons.team |
| PKief | Philipp Kief | f9e5bc2f-fea1-4075-917f-d83e01e69… | https://pkief.com |
| zhuangtongfa | binaryify | 8ae75bda-ec22-4a17-9340-abf1a20be… | |
| ms-dotnettools | Microsoft | d05e23de-3974-4ff0-8d47-23ee77830… | https://microsoft.com |
| GitHub | GitHub | 7c1c19cd-78eb-4dfb-8999-99caf7679… | https://github.com |
{ "publisherName": "vscode-icons-team", "displayName": "VSCode Icons Team", "publisherId": "652ad61d-3a6a-48ca-ab1a-80dc8953b2b6", "domain": "https://vscodeicons.team", "isDomainVerified": true, "verified": true, "extensionCount": 1, "totalInstalls": 24287007, "totalDownloads": 112131 }
よくある質問
What is the lead in each record?
The publisher's website **domain**, together with whether that domain is verified, so you can prioritise reachable, established vendors.
How is totalInstalls calculated?
It is the sum of installs across every extension the publisher ships, so you can rank publishers by real portfolio reach rather than a single extension.
How are publishers discovered?
They are found from your search keyword, ranked by the popularity of their matching extensions, then each publisher is fully aggregated across their whole catalog.
How fresh is the data?
Everything is read live at run time, so each record reflects the marketplace at the moment of the run (see observedAt).