Riveter
Build structured web datasets
Riveter turns web research into structured data. Give Claude a list of companies, people, or URLs and ask for new columns: product descriptions, revenue, deep analysis, company headcount, link traces, pricing, tech stack analysis, contact details, a classification, a summary, etc. Riveter runs an AI agent per row that searches, reads pages, and fills in each cell with a sourced answer. What you can do - Enrich rows you already have. Paste a list or point at a saved enrichment and get the new columns back. Up to 10,000 rows per run. - Build a list from a description. "Every lawfirm in Indiana", "every YC W24 company in healthcare", "competitors of Stripe". Riveter generates the rows, and can enrich them in the same run. - Scrape a page. Clean text or markdown from any URL, including JavaScript-rendered pages. - Search the web. One-shot search results, or a research agent that answers a question with a structured, schema-shaped response. - Extract records from a site. Define the fields you want and pull them from listings, directories, or catalogs as JSON. - Monitor for changes. Run a saved enrichment daily, weekly, or monthly and get alerts or webhooks when values change. How it works Long runs are asynchronous. Claude starts the run, checks status, and fetches results when they are ready. Every run has an id you can come back to later, and results stay available in your Riveter account.
件のアプリ
Riveter
情報
- 開発者
- Riveter AI, Inc
- カテゴリー
- Data & Analytics
- バージョン
- 1.0.1
Riveter に接続すると、ChatGPT はリクエストのコンテキスト提供に役立てるため、関連するチャットやメモリをこのアプリと共有する場合があります。Riveter によるこのデータの使用には、規約およびプライバシーポリシーが適用されます。メモリが有効な場合、アプリのデータは、役立つ情報や提案を先回りして提供するために使用されることがあります。ChatGPTは、連携アプリのデータを含め、トレーニングデータに関する設定を常に尊重します。アプリの使用には高いリスクを伴う場合があります。設定から、いつでも各種設定の管理やアプリの接続解除が可能です。詳細を見る