Content Freshness Scorer
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Content Freshness Scorer

v1.0 documentation

Scores content freshness based on date signals, temporal references, outdated terms, and HTTP Last-Modified headers.

URL inputXLSX export
content_freshness_scorer.py135 lines3 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python content_freshness_scorer.py --url https://example.com/post
terminal
python content_freshness_scorer.py --urls https://a.com https://b.com --output freshness.xlsx
3

Export

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

Parameters
FlagDescription
--urlSingle URL
--urlsUrls. Multiple values allowed
--outputSave as XLSX
help
python content_freshness_scorer.py --help
How it works

This tool analyzes the following signals:

1. Check published/modified dates
2. Current year reference
3. Outdated signals
4. "Updated" language
Use cases
Content audit
Pre-publish check
Competitive analysis

Analyze existing content to find what needs updating, merging, or removing. Export results and create a content maintenance plan.

Run before publishing new content to ensure it meets quality thresholds. Fix issues before they go live.

Compare your content against top-ranking competitors. Identify gaps and opportunities to improve.

Dependencies

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

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