Keyword Difficulty Estimator
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Keyword Difficulty Estimator

v1.0 documentation

Estimates keyword difficulty by analyzing top-ranking pages' content depth, authority signals, and optimization level. No API keys needed.

URL inputXLSX export
keyword_difficulty_estimator.py121 lines3 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python keyword_difficulty_estimator.py --keyword "best crm software" --urls https://comp1.com https://comp2.com
terminal
python keyword_difficulty_estimator.py --keyword "how to learn python" --urls https://a.com https://b.com https://c.com --output difficulty.xlsx
3

Export

Add --output report.xlsx to save results as a spreadsheet.

Parameters
FlagDescription
--keyword requiredKeyword
--urls requiredTop-ranking competitor URLs. Multiple values allowed
--outputSave as XLSX
help
python keyword_difficulty_estimator.py --help
Use cases
Keyword strategy
Client research
Competitor intelligence

Run before creating content. Use the output to plan which terms to target, group into clusters, and prioritize by difficulty. Export to XLSX and share with your content team.

Deliver keyword research as a paid service. Run the tool on a client's niche, export results, and present clusters as a content roadmap. Charge $100-300 per research package.

Analyze what keywords competitors rank for that you're missing. Feed the output into your content calendar to close gaps systematically.

Works well with

Combine with other tools for a complete workflow:

Brand Serp Auditor

Competitor Analysis

Fetches and analyzes multiple competitor pages using NLP to find content gaps, c

Competitor Strategy Analyzer

Reverse-engineers a competitor's content strategy by analyzing their sitemap or

Content Brief Generator

Generates data-driven content briefs by analyzing top-ranking competitor pages.

Content Gap Mapper

Maps content gaps across topic clusters. Identifies which subtopics are covered

Featured Snippet Optimizer
Dependencies

Requires: beautifulsoup4, numpy, pandas, requests. All included in requirements.txt.

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