REPOGEO REPORT · LITE

mishushakov/llm-scraper

Default branch main · commit 21bf37a6 · scanned 5/19/2026, 2:33:25 AM

GitHub: 6,552 stars · 413 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

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 mishushakov/llm-scraper, 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 the README H1 and opening paragraph to highlight unique value

Why:

CURRENT

# LLM Scraper

LLM Scraper is a TypeScript library that allows you to extract structured data from **any** webpage using LLMs.

COPY-PASTE FIX

# LLM Scraper: AI-Powered Web Scraping without Selectors

LLM Scraper is a TypeScript library that leverages Large Language Models to extract structured data from **any** webpage, eliminating the need for manual CSS selectors or XPath.

highhomepage#2

Add a homepage URL to the repository's About section

Why:

COPY-PASTE FIX

Set the repository's homepage URL in the 'About' section to the project's official website or documentation.

mediumtopics#3

Expand repository topics to improve categorization

Why:

CURRENT

ai, artificial-intelligence, browser, browser-automation, gpt, gpt-4, langchain, llama, llm, openai, playwright, puppeteer, scraper

COPY-PASTE FIX

ai, artificial-intelligence, browser, browser-automation, gpt, gpt-4, langchain, llama, llm, openai, playwright, puppeteer, scraper, structured-data, schema-validation, web-scraping, typescript-library

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 mishushakov/llm-scraper

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI GPT-4

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI GPT-4 · recommended 1×
GPT-3.5 Turbo · recommended 1×
Function Calling · recommended 1×
Anthropic Claude · recommended 1×
Claude 3 Opus · recommended 1×

CATEGORY QUERY
How to extract structured data from any webpage using large language models?
you: not recommended
AI recommended (in order):
1. OpenAI GPT-4
2. GPT-3.5 Turbo
3. Function Calling
4. Anthropic Claude
5. Claude 3 Opus
6. Claude 3 Sonnet
7. LlamaIndex
8. LangChain
9. Llama 3
10. Mixtral 8x7B
11. PromptLayer
12. Vellum
13. Humanloop
14. ScrapeGraphAI
15. Playwright
16. Selenium
AI recommended 16 alternatives but never named mishushakov/llm-scraper. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a TypeScript library for AI-powered web content extraction with schema validation.
you: not recommended
AI recommended (in order):
1. OpenAI API
2. zod (colinhacks/zod)
3. TypeBox (sinclairzx81/typebox)
4. LangChain.js (langchain-ai/langchainjs)
5. LlamaIndex.TS (run-llama/LlamaIndexTS)
6. html-to-json
7. cheerio (cheeriojs/cheerio)
AI recommended 7 alternatives but never named mishushakov/llm-scraper. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 mishushakov/llm-scraper?
pass
AI named mishushakov/llm-scraper explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts mishushakov/llm-scraper in production, what risks or prerequisites should they evaluate first?
pass
AI named mishushakov/llm-scraper 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 mishushakov/llm-scraper solve, and who is the primary audience?
pass
AI named mishushakov/llm-scraper explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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