Brief

Scrapes search engine results and community forums to gather real-world insights and user discussions for content generation.

What does Programmatic SEO Data Pipeline do?

This template executes a search based on provided keywords, specifically targeting search engine result pages (SERPs) and community platforms like Reddit. It extracts high-ranking titles, snippets, and the content of discussions to capture what real users are asking and saying about a specific topic.

In the context of the workflow, this template serves as the "Research Assistant." It provides the raw, factual ground truth that the AI Editor needs. Instead of hallucinating generic advice, the AI uses this scraped data to synthesize articles that reflect actual market consensus and address specific user pain points found in community threads.

What data can you scrape from Search Engines/Forums ?

Platform: Google / Reddit
Data Points:
- Search Result Titles
- Meta Descriptions / Snippets
- Forum Thread Titles & Content
- User Comments/Discussions
- Source URLs

How to use Programmatic SEO Data Pipeline ?

Run via n8n: Trigger the "Generate SEO articles from search queries to WordPress" workflow.
Provide Input: The workflow's "Set queries" node maps the target keyword (e.g., "Best automation tools") to the template's input.
Output: The template returns a structured list or raw text containing the search results and relevant community discussions.
Next Steps: The research data is passed to the AI Agent (Senior Technical Editor) to draft the HTML article.

Why scrape Search Engines/Forums ?

Content Depth: Create articles based on actual user experiences and questions rather than generic AI assumptions.
Programmatic Scale: Research and write hundreds of niche-specific articles automatically without manual googling.
Topical Authority: Ensure your content aligns with what is currently ranking and being discussed in your industry.

This template is a dependency for the n8n workflow: Generate SEO articles from search queries to WordPress. It acts as the research engine that feeds the content generation process.

180-220credits per task (estimated)