インフラストラクチャ
プロキシルーティング、ブラウザ実行、リトライ、利用制御は運用作業です。
Track launches, makers, products, comments, reviews, upvotes, topics, and market signals from Product Hunt workflows.
課題
VCs, founders, startup researchers, agencies, and market intelligence teams need structured Product Hunt research API workflows for launches, makers, product positioning, comments, reviews, topics, and engagement signals. Manual research is hard to compare over time.
プロキシルーティング、ブラウザ実行、リトライ、利用制御は運用作業です。
生のページは、プロダクトやデータチームが利用できる安定したレコードに変換する必要があります。
ユースケースのランディングページは、購買者のワークフローや社内データモデルに直接対応させるべきです。
構造化された公開Webデータのワークフローには、明確な法務・プライバシー・プラットフォーム上の境界が引き続き必要です。
収集できるデータ
Example fields may include public product, launch, maker, engagement, topic, comment, and review-related fields where supported.
関連する Crawlora API
プラットフォームページまたはエンドポイントのドキュメントから始め、本番統合の前に Playground で同じルートをテストしてください。
検索意図
ページ内容を購買者が検索する実際のタスクに合わせ、各ワークフローの背後にある関連 Crawlora API を開いてください。
Product Hunt publishes a GraphQL API, but it is OAuth-gated, rate-limited per application, subject to approval for many use cases, and shaped for building Product Hunt integrations rather than for cross-time research. It also changed its terms for commercial use, which is why teams building sourcing or trend tools moved to structured public data. See the Product Hunt API commercial-use guide linked below for the detail. A structured research workflow reads public launch, product, maker, topic and review pages and returns them as consistent fields you can store and compare.
The common pattern is a daily pull of new launches filtered by topic, joined to a product record that grows over time: first seen, launch-day upvotes, subsequent launches, maker changes, and reviews. VC sourcing teams route new records matching a thesis into a CRM; competitor-intelligence teams watch specific companies' launches and messaging; content teams summarize category trends. Crawlora's own Product Hunt trends dataset and the makers dataset (linked below) show what that record looks like at scale, including how launch volume and upvote distributions have moved since 2013.
Upvotes and rankings are point-in-time and move during launch day; store the fetched-at timestamp and expect the same launch to read differently at 09:00 and 17:00. Maker information is only what is public on the profile. Some products have many launches; key your record on the product, not the launch. Use the data for research and market intelligence, and respect Product Hunt's terms for how you redistribute it.
ワークフロー例
Crawlora はスクレイピング実行レイヤーをドキュメント化されたAPIの背後に保持するため、プロダクトはストレージ、分析、アラート、ユーザーワークフローに集中できます。
01
Choose topics, keywords, categories, product lists, or launch date windows.
02
Use Crawlora Product Hunt endpoints for products, searches, topics, launches, makers, comments, or reviews.
03
Store product, launch, maker, topic, engagement, and messaging fields together.
04
Send results into a CRM, research database, newsletter, investment pipeline, or AI summarizer.
APIの例
Illustrative example using the documented Product Hunt search route. Check Docs for current query parameters and response fields.
GET https://api.crawlora.net/api/v1/producthunt/search?q=ai%20agents
x-api-key: YOUR_API_KEY{
"code": 200,
"msg": "OK",
"data": [
{
"name": "Example product",
"tagline": "Example launch tagline",
"url": "https://www.producthunt.com/products/example"
}
]
}構築できるもの
SaaSプロダクト、データチーム、AIエージェント、代理店、グロースチーム、社内インテリジェンスツール向けの実践的なワークフローパターンです。
Track launches, products, categories, and engagement signals.
Route public startup signals into research and pipeline tools.
Monitor how competitors position new products and campaigns.
Summarize topics, categories, and product messaging shifts.
Create searchable startup intelligence from public launch records.
Generate product summaries, category tags, and market notes from structured data.
自社構築か購入か
カスタムスクレイパーはプロトタイプには有効です。本番のWebデータワークフローにはインフラ、モニタリング、安定した出力、明確な失敗時の挙動が必要です。
| DIYアプローチ | Crawloraアプローチ |
|---|---|
| Build Product Hunt scraping and pagination | Use Product Hunt-specific documented API routes |
| Normalize products, makers, launches, and topics | Receive structured public Product Hunt records |
| Track updates and engagement manually | Schedule snapshots and compare normalized fields |
| Prepare raw pages for AI summaries | Use cleaner JSON as AI-ready research input |
インフラストラクチャ
Crawlora はプラットフォーム別APIと、マネージドプロキシルーティング、ブラウザベースのレンダリング、リトライ、レート制限、利用状況トラッキング、スケーリング制御を組み合わせています。
責任ある利用
Use Product Hunt data for responsible founder, company, and market research. Do not use Crawlora to support spam outreach. Users are responsible for lawful and compliant outreach, privacy obligations, and platform requirements. Crawlora利用規約を読む.
関連するユースケース
同じデータインフラとプロダクト購買者を共有することが多い実践的なワークフローを相互リンクします。
よくある質問
このワークフローでCrawloraの導入を検討している開発者・プロダクトチーム向けの回答です。
Yes. Crawlora includes Product Hunt endpoints for product, launch, category, maker, search, comment, and review workflows where supported.
Product Hunt category and search workflows can support topic-based research. Check Docs for current endpoint parameters.
Yes, for responsible startup discovery and market intelligence workflows using public product and launch data.
Yes. You can track public launch pages, messaging, comments, reviews, and category signals over time.
Crawlora includes Product Hunt comment and detailed review routes where supported. Confirm current response fields in Docs.
Crawlora provides data infrastructure. Users are responsible for lawful and compliant outreach practices, consent rules, privacy obligations, and platform requirements.
Open the Product Hunt platform page, inspect endpoint docs, and test a request in Playground before wiring the workflow into your product.
Yes, a GraphQL API that is OAuth-gated and rate-limited per application, with approval and terms constraints for many commercial uses. It is designed for integrations rather than longitudinal research, which is why research and sourcing teams use structured public data instead.
Yes. The product and launches endpoints return a product's launch history where public, so you can build a record of first launch, relaunches, upvotes and comments over time rather than only what is on today's feed.
Pull new launches daily filtered by the topics that match your thesis, join them to maker and product fields, and route matches into your CRM with the launch metrics attached. Re-pull tracked products weekly to catch relaunches and reviews.
Crawlora APIを閲覧し、Playgroundでリクエストをテストし、スクレイピングインフラ作業から本番のデータワークフローへ移行しましょう。