RRepoGEO

REPOGEO REPORT · LITE

bhancockio/deepseek-ai-web-crawler

Default branch main · commit 9838b6fb · scanned 6/2/2026, 6:28:02 AM

GitHub: 524 stars · 312 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 bhancockio/deepseek-ai-web-crawler, 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

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

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory of the repository containing the text for a standard open-source license, such as the MIT License.
  • mediumreadme#2
    Strengthen README's opening to highlight LLM-powered structured extraction

    Why:

    CURRENT
    # Deep Seek Crawler

This project is a web crawler built with Python that extracts venue data (wedding reception venues) from a website using asynchronous programming with Crawl4AI. It utilizes a language model-based extraction strategy and saves the collected data to a CSV file.
    COPY-PASTE FIX
    # Deep Seek Crawler: LLM-Powered Structured Data Extraction

This project is a specialized Python web crawler designed for **accurate, language model (LLM)-based extraction of structured data** from websites, such as detailed venue information (e.g., wedding reception venues). Leveraging asynchronous programming with Crawl4AI, it efficiently processes web pages and exports the collected data directly to a CSV file, making it ideal for AI developers and data analysts needing precise, categorized information.

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 bhancockio/deepseek-ai-web-crawler
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Beautiful Soup
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Beautiful Soup · recommended 2×
  2. Scrapy · recommended 2×
  3. Playwright · recommended 2×
  4. spaCy · recommended 1×
  5. NLTK · recommended 1×
  • CATEGORY QUERY
    How to extract structured venue data from websites using a language model?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup
    2. spaCy
    3. NLTK
    4. Scrapy
    5. Playwright
    6. Selenium
    7. Hugging Face Transformers
    8. Google Cloud Natural Language API
    9. AWS Comprehend
    10. OpenAI GPT-3.5
    11. OpenAI GPT-4

    AI recommended 11 alternatives but never named bhancockio/deepseek-ai-web-crawler. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good Python asynchronous web scraping tools for exporting to CSV?
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Playwright
    3. Beautiful Soup
    4. httpx
    5. aiohttp
    6. Requests-HTML
    7. MechanicalSoup

    AI recommended 7 alternatives but never named bhancockio/deepseek-ai-web-crawler. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 bhancockio/deepseek-ai-web-crawler?
    pass
    AI named bhancockio/deepseek-ai-web-crawler explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts bhancockio/deepseek-ai-web-crawler in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bhancockio/deepseek-ai-web-crawler 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 bhancockio/deepseek-ai-web-crawler solve, and who is the primary audience?
    pass
    AI did not name bhancockio/deepseek-ai-web-crawler — likely talking about a different project

    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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bhancockio/deepseek-ai-web-crawler — 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