RRepoGEO

REPOGEO REPORT · LITE

raznem/parsera

Default branch main · commit 865d7772 · scanned 5/11/2026, 12:17:40 PM

GitHub: 1,276 stars · 73 forks

AI VISIBILITY SCORE
33 /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
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 raznem/parsera, 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's opening statement to clarify core purpose

    Why:

    CURRENT
    Lightweight Python library for scraping websites with LLMs.
    COPY-PASTE FIX
    Parsera is a lightweight Python library that leverages Large Language Models (LLMs) to simplify web scraping and extract structured data from websites.
  • mediumreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Parsera? (vs. Alternatives)

Parsera stands apart from traditional web scraping libraries like Beautiful Soup or Scrapy by leveraging LLMs for intelligent, flexible data extraction, eliminating the need for complex CSS selectors or XPath. Unlike using raw LLM APIs, Parsera integrates the entire scraping workflow, from browser automation with Playwright to structured data output, streamlining the process for dynamic web content.
  • mediumtopics#3
    Refine topics for better category matching

    Why:

    CURRENT
    ai, ai-scraping, data-extraction, llm, opensource, playwright, python, scraping, webscraping
    COPY-PASTE FIX
    ai, ai-scraping, data-extraction, llm, opensource, playwright, python, scraping, webscraping, llm-scraping, ai-data-extraction, structured-data-extraction

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 raznem/parsera
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. Selenium · recommended 2×
  3. Scrapy · recommended 2×
  4. OpenAI GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How can I scrape web content and extract data using large language models?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup
    2. OpenAI GPT-4
    3. GPT-3.5 Turbo
    4. Playwright
    5. Selenium
    6. Scrapy
    7. LangChain
    8. LlamaIndex
    9. Anthropic Claude
    10. Llama 2
    11. Apify
    12. requests

    AI recommended 12 alternatives but never named raznem/parsera. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries offer lightweight web scraping with integrated AI features?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup
    2. NLTK
    3. spaCy
    4. Scrapy
    5. Hugging Face Transformers
    6. Requests-HTML
    7. TextBlob
    8. Selenium
    9. Gensim

    AI recommended 9 alternatives but never named raznem/parsera. 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 raznem/parsera?
    pass
    AI named raznem/parsera explicitly

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

  • If a team adopts raznem/parsera in production, what risks or prerequisites should they evaluate first?
    pass
    AI named raznem/parsera 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 raznem/parsera solve, and who is the primary audience?
    pass
    AI did not name raznem/parsera — 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?

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raznem/parsera — 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