Overview
Manually collecting key project data across multiple platforms wastes time and invites errors. This workflow automates API calls to Product Hunt, NPM, Docker Hub, and GitHub, normalizing their raw data into unified, structured metrics. It delivers a consolidated snapshot ready for dashboards or analysis, eliminating fragmented data gathering and speeding up your project health monitoring.
The Impact
- Consolidate data. Pull cross-platform metrics into a single, consistent format without manual intervention.
- Accelerate insights. Get real-time project health and launch performance data instantly.
- Reduce errors. Automate data formatting and normalization to prevent manual mistakes.
- Streamline workflows. Output structured objects ready for dashboards or further processing.
Who This Is For
- Product Managers monitoring launch impact via Product Hunt engagement and repo metrics.
- Open Source Maintainers tracking package health and repository activity across NPM, Docker, and GitHub.
- Investors evaluating project popularity and quality for funding decisions.
- Community Operators assessing project traction for competitive analysis.
How It Works
- Data Crawling
- Trigger API requests to Product Hunt, NPM, Docker Hub, and GitHub to fetch raw JSON data.
- Data Formatting
- Extract and normalize data fields using code nodes to unify numeric formats and naming conventions.
- Repository Extraction
- Leverage model-assisted extraction to structure GitHub repository details for consistent output.
- Summary Output
- Export unified metric objects (phData, npmData, dockerData, githubData) for dashboards or storage.
What You'll Need
Before using this template, make sure you have:
- Product Hunt API token for GraphQL access to post data.
- NPM package name for querying package metrics.
- Docker Hub username/organization and repository name.
- GitHub repository owner, repository name, and Personal Access Token for API calls.
- Product Hunt post ID identifying the specific launch post.
How to Use
- Step 1. Configure Parameters
- Step 2. Run Data Crawlers
- Step 3. Format Retrieved Data
- Step 4. Extract Repository Details
- Step 5. Verify Outputs
Enter Product Hunt post ID, API tokens, and repository/package identifiers as required.
Initiate API requests to gather raw JSON metrics from all platforms.
Automatically normalize and unify data formats using provided code nodes.
Use the model-assisted node to clean and structure GitHub repo information.
Check the aggregated metric objects (phData, npmData, dockerData, githubData) for accuracy and completeness before dashboard integration.
