Research content keywords with SE Ranking and export to Google Sheets
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Who is this for
Content creators looking for topic ideas
SEO specialists doing keyword research
Marketing teams planning content calendars
What this workflow does
Discover keyword opportunities from 4 different sources (longtail, questions, similar, related) and export analyzed results to Google Sheets.
What you'll get
Longtail, question, similar, and related keyword variations
Opportunity scores based on volume, difficulty, and CPC
Search intent classification (informational, commercial, transactional, navigational)
Content type suggestions (how-to guide, listicle, comparison, etc.)
Trend analysis with historical search volume data
Estimated monthly traffic potential
Priority ranking (HIGH/MEDIUM/LOW)
SERP features analysis
All results automatically exported to Google Sheets
How it works
Fetches 4 types of keywords from SE Ranking (longtail, questions, similar, related)
Merges and deduplicates all results
Analyzes each keyword with custom scoring algorithm
Calculates opportunity scores (volume 40%, difficulty 40%, CPC 20%)
Detects search intent and suggests content types
Exports enriched data to Google Sheets with 17 columns
Requirements
SE Ranking account with API access (Get one here)
SE Ranking community node installed (Install from npm)
Google Sheets account
Setup steps
Install the SE Ranking community node
Add your SE Ranking API credentials
Connect your Google Sheets account
Update the seed keyword in all 4 SE Ranking nodes (default: "digital marketing")
Select or create a Google Sheet for export
Customization
Adjust volumeFrom and difficultyTo filters in SE Ranking nodes for different opportunity ranges
Change limit parameter to fetch more/fewer keywords per source (max 1000)
Modify opportunity score formula in the Code node (currently: volume 40%, difficulty 40%, CPC 20%)
Update content type detection patterns to match your industry
Change source parameter for different countries (us, uk, de, fr, etc.)