REPOGEO REPORT · LITE

mishushakov/llm-scraper

Default branch main · commit 2b43d999 · scanned 6/30/2026, 9:47:56 AM

GitHub: 6,824 stars · 450 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 README H1 and opening sentence

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: TypeScript Library for AI-Powered Structured Web Data Extraction

LLM Scraper is a robust TypeScript library that leverages Large Language Models to extract structured data from **any** webpage, offering a powerful alternative to traditional, selector-based scraping methods.

mediumreadme#2

Add a 'Comparison to Alternatives' section in README

Why:

COPY-PASTE FIX

Add a new section, e.g., `## Why LLM Scraper? (Comparison to Alternatives)` or `## How LLM Scraper Compares`. This section should explain that LLM Scraper is a *library* (not a service or raw LLM), is *LLM-powered* (not selector-based), and is *structured data focused*, highlighting its core differentiator of 'eliminating the need for explicit CSS selectors or XPath'.

lowhomepage#3

Add a homepage URL

Why:

COPY-PASTE FIX

Add the project's official website or documentation URL (e.g., `https://llm-scraper.dev` or `https://github.com/mishushakov/llm-scraper#readme`) to the `homepage` field in `package.json` and/or GitHub repository settings.

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×
Anthropic Claude · recommended 1×
LlamaIndex · recommended 1×
LangChain · recommended 1×
Unstructured.io · 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. Anthropic Claude
3. LlamaIndex
4. LangChain
5. Unstructured.io
6. Google Gemini
7. Mistral Large
8. ScrapingBee
9. Apify
AI recommended 9 alternatives but never named mishushakov/llm-scraper. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a TypeScript library for automating web data extraction with AI capabilities.
you: not recommended
AI recommended (in order):
1. Playwright (microsoft/playwright)
2. LangChain.js (langchain-ai/langchainjs)
3. Puppeteer (puppeteer/puppeteer)
4. Cheerio (cheeriojs/cheerio)
5. Axios (axios/axios)
6. Node-Fetch (node-fetch/node-fetch)
7. jsdom (jsdom/jsdom)
8. Apify SDK (apify/apify-sdk-js)
9. OpenAI's API
AI recommended 9 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?

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