REPOGEO REPORT · LITE

0xMassi/webclaw

Default branch main · commit 8fe8bcb4 · scanned 5/23/2026, 3:57:09 AM

GitHub: 1,180 stars · 141 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface 0xMassi/webclaw, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README tagline to highlight key differentiators and tech stack

Why:

CURRENT

Turn websites into clean markdown, JSON, and LLM-ready context.

COPY-PASTE FIX

Turn websites into clean markdown, JSON, and LLM-ready context. Self-hostable, local-first, and built with Rust.

mediumreadme#2

Add a dedicated section explaining webclaw's advantages for LLM/RAG pipelines

Why:

COPY-PASTE FIX

Create a new section, e.g., 'Why webclaw for LLMs & RAG?', detailing how webclaw's clean output, structured data, and local-first approach directly benefit AI applications compared to raw HTML or generic scraping tools.

mediumreadme#3

Add a comparison or alternative mention for Firecrawl in the README

Why:

COPY-PASTE FIX

Add a sentence or short paragraph, perhaps in a 'Why webclaw?' or 'Alternatives' section, stating: 'Consider webclaw as a powerful, self-hostable, and local-first alternative to services like Firecrawl for your web extraction needs.'

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface 0xMassi/webclaw

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Playwright

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Playwright · recommended 1×
Scrapy · recommended 1×
BeautifulSoup4 · recommended 1×
Requests · recommended 1×
Selenium · recommended 1×

CATEGORY QUERY
How to reliably extract clean, structured web content for AI agent RAG pipelines?
you: not recommended
AI recommended (in order):
1. Playwright
2. Scrapy
3. BeautifulSoup4
4. Requests
5. Selenium
6. Apify
7. Readability.js
8. python-readability
9. Trafilatura
AI recommended 9 alternatives but never named 0xMassi/webclaw. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a self-hostable web content extraction tool to get clean markdown or JSON.
you: not recommended
AI recommended (in order):
1. Scrapy (scrapy/scrapy)
2. markdownify (matthewwithanm/markdownify)
3. Portia
4. Scrapy-Splash (scrapy-plugins/scrapy-splash)
5. Scrapy Cloud
6. Apify SDK (apify/apify-sdk-js)
7. Puppeteer (puppeteer/puppeteer)
8. Playwright (microsoft/playwright)
9. turndown (domchristie/turndown)
10. html-to-md (mixmark-io/html-to-md)
11. Web Scraper.io (webscraperio/web-scraper)
12. Goose3 (goose3/goose3)
13. Readability.js (mozilla/readability)
14. node-readability (luin/node-readability)
15. Beautiful Soup 4 (crummy/BeautifulSoup)
16. Requests (psf/requests)
17. Selenium (SeleniumHQ/selenium)
AI recommended 17 alternatives but never named 0xMassi/webclaw. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of 0xMassi/webclaw?
pass
AI named 0xMassi/webclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts 0xMassi/webclaw in production, what risks or prerequisites should they evaluate first?
pass
AI named 0xMassi/webclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo 0xMassi/webclaw solve, and who is the primary audience?
pass
AI named 0xMassi/webclaw explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of 0xMassi/webclaw. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/0xMassi/webclaw.svg)](https://repogeo.com/en/r/0xMassi/webclaw)

HTML

<a href="https://repogeo.com/en/r/0xMassi/webclaw"><img src="https://repogeo.com/badge/0xMassi/webclaw.svg" alt="RepoGEO" /></a>

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0xMassi/webclaw — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite