TF-IDF Keyword Extractor

Name: TF-IDF Keyword Extractor
Price: 49 USD
Author: AAIO Inc

v1.0 documentation

Extract top TF-IDF terms from one or multiple documents. Useful for discovering what terms define a page's content.

URL inputFile inputXLSX export

tfidf_extractor.py107 lines8 paramsPython 3.8+

Quick start

terminal

pip install -r requirements.txt

terminal

python tfidf_extractor.py --url https://example.com/page --top 30

terminal

python tfidf_extractor.py --files page1.html page2.html --output tfidf_results.xlsx

terminal

python tfidf_extractor.py --file article.txt --ngram-range 1 3

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

Parameters

Flag	Description
`--url`	Single URL to analyze
`--urls`	Multiple URLs. Multiple values allowed
`--file`	Single file
`--files`	Multiple files. Multiple values allowed
`--top`	Top N terms per document. Default: 30 (integer)
`--ngram-min`	Ngram min (integer)
`--ngram-max`	Ngram max (integer)
`--output`	Save results as XLSX

help

python tfidf_extractor.py --help

Use cases

Content quality audit

Writer evaluation

Client deliverable

Run across all your blog posts to score quality. Sort by score in the XLSX export, then prioritize rewrites for the lowest-scoring pages.

Before publishing freelance content, run this tool to check quality signals. Use specific metrics as concrete feedback for writers.

Include the analysis in your SEO audit report. Clients appreciate data-backed recommendations over subjective opinions.

Works well with

Combine with other tools for a complete workflow:

Dependencies

Requires: beautifulsoup4, pandas, requests, scikit-learn. All included in requirements.txt.

One-time payment. Lifetime access. No monthly fees.
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AAIO Inc — aaioinc.com/tools/tfidf_extractor/