Automated SERP Analysis for Smarter Keyword Strategy
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Leverage automated Search Engine Results Page (SERP) analysis to gain crucial insights into keyword performance and competitor positioning. This workflow streamlines data collection and organization, empowering your SEO and content strategies.
About This Workflow
This n8n workflow automates the process of fetching and analyzing Search Engine Results Pages (SERPs) for a given set of keywords. It begins by retrieving keyword data, potentially from a connected database like Airtable, or by defining keywords directly within the workflow. The core of the automation involves making a POST request to the Scraping Robot API to gather comprehensive SERP data, including organic results, "People Also Ask" questions, and paid advertisements. The workflow then meticulously processes this data: it extracts relevant information like organic results, "People Also Ask" sections, the original search query, and paid ad data. It further refines the data by splitting SERP results into individual rows and filtering out entries without a title. Finally, it assigns a sequential position to each organic result within its respective search query group, providing a clear ranking of your content's performance. This structured data is invaluable for understanding keyword competitiveness, identifying content gaps, and optimizing your overall SEO strategy.
Key Features
- Automated SERP Data Retrieval: Effortlessly pull SERP data for any keyword using the Scraping Robot API.
- Comprehensive Data Extraction: Captures organic results, "People Also Ask" sections, paid ads, and the original search query.
- Data Structuring & Organization: Organizes raw SERP data into a clean, usable format with individual rows for each result.
- Intelligent Filtering: Removes irrelevant entries by ensuring organic result titles are present.
- Rank Tracking Automation: Automatically assigns a positional rank to each organic search result for easy analysis.
How To Use
- Trigger: Start the workflow manually by clicking the 'Test workflow' button.
- Keyword Source: Connect to your own database (e.g., Airtable) and ensure your keywords are in a column named 'Keyword'. Alternatively, update the
Set Keywords to get SERPs fornode to manually input an array of keywords. - GET SERP Node: Ensure the 'GET SERP' node is correctly configured with your Scraping Robot API credentials (either HTTP Query Auth or HTTP Header Auth). Update the
urlparameter to target the desired search engine (e.g.,https://www.google.com). ThejsonBodywill dynamically use the{{ $json["Keyword"] }}variable to fetch results for each keyword. - SERP results Node: This node automatically processes the raw JSON output from Scraping Robot, extracting and naming key data points like
organicResults,peopleAlsoAsk,searchQuery, andpaidAds. - Separate Node: This node takes the
organicResultsarray and splits it into individual rows, so each organic result can be processed independently. - Title <> Empty Node: This filter ensures that only organic results with a non-empty title are passed through, guaranteeing the quality of your data.
- Assign SERP #pos Node: This code node groups the results by the original
searchQueryand assigns a sequentialpositionto each organic result within its group, effectively creating an automated rank tracker.
Apps Used
Workflow JSON
{
"id": "af691a90-8207-4c5e-9d8d-bcdd8018e7f6",
"name": "Automated SERP Analysis for Smarter Keyword Strategy",
"nodes": 16,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: af691a90-8207...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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