Claim Fact Extractor
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❖ NLP & Text Analysis

Claim & Statistic Extractor

v1.0 documentation

Extract factual claims, statistics, data points, and quotable assertions from content for fact-checking or citation workflows.

URL inputFile inputText inputXLSX export
claim_fact_extractor.py115 lines4 paramsPython 3.8+
Quick start
1

Install

terminal
pip install -r requirements.txt
2

Run

terminal
python claim_fact_extractor.py --url https://example.com/post --output claims.xlsx
terminal
python claim_fact_extractor.py --file article.html --output claims.csv
3

Export

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

Parameters
FlagDescription
--urlUrl
--fileFile
--textText
--outputOutput
help
python claim_fact_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.

Dependencies

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

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Get the full toolkit

AAIO Inc — aaioinc.com/tools/claim_fact_extractor/