AI-Powered SEO: API Data Extraction and Analysis Workflow
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Automate SEO data extraction by leveraging API calls and web scraping. This workflow uses the `httpRequest` node to fetch API schemas and scrape web content, then employs `set` and `splitOut` nodes for data processing and chunking.
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About This Workflow
Overview
This n8n workflow automates the process of extracting and analyzing SEO-related data from the web. It's designed to find relevant API documentation and scrape content from specified web pages. The workflow begins with a manual trigger, followed by an API request to search for relevant API schemas using a custom Google search query.
Subsequently, it scrapes the content of the linked webpages using another httpRequest node configured with the Apify Web Scraper. The scraped content is then processed for chunking by the set and splitOut nodes, preparing it for potential further analysis or embedding. This workflow is particularly useful for technical SEO professionals and developers who need to gather and process structured information about APIs and web services.
Key Features
- Triggers workflow execution manually.
- Utilizes
httpRequestnodes for API calls and web scraping. - Dynamically generates search queries for API schema discovery.
- Employs Apify's Web Scraper for detailed page content extraction.
- Implements content chunking for large datasets using
setandsplitOutnodes. - Prepares data for further processing, such as text embedding.
How To Use
- Trigger Workflow: Click the 'Test workflow' button on the
When clicking ‘Test workflow’node to initiate the process. - Configure API Search: The
Web Search For API Schemanode is pre-configured to search Google for API developer references. You can adjust the search query in thebodyParametersto target specific services or keywords. - Scrape Web Content: The
Scrape Webpage Contentsnode is set up to use the Apify Web Scraper. Ensure thestartUrlsin thejsonBodyare correctly populated, likely from the results of the previous search. - Process Data: The
setnode (Content Chunking @ 50k Chars) andsplitOutnode (Split Out Chunks) are used to divide the scraped content into manageable chunks. - Further Analysis: The output from the chunking process is ready for subsequent nodes in your n8n workflow for tasks like embedding, analysis, or storage.
Apps Used
Workflow JSON
{
"id": "69d09e45-6642-41c9-b8c9-3befb836ef5d",
"name": "AI-Powered SEO: API Data Extraction and Analysis Workflow",
"nodes": 0,
"category": "Other Integrations and Use Cases",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 69d09e45-6642...
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