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Google social media finder

Skill Pyfagorass/bookofspells/skills/browseract/google-social-media-finder

πŸ“– The Book of Spells: a curated, enchanted index of real LLM tooling β€” and a pipeline that gathers SKILL.md skills from many houses into one searchable shelf.

Install
npx -y skills add Pyfagorass/bookofspells --skill google-social-media-finder

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Searches Google to discover social media profiles associated with a person, brand, or username; returns platform name, profile URL, username, bio snippet, and follower count across X, Instagram, Facebook, LinkedIn, TikTok, YouTube, Pinterest, Reddit, Snapchat, Threads, and more. Use when user wants to find someone's social media accounts, look up social profiles, discover where a person is active online, find brand social media pages, search social accounts by name, track digital footprint, find influencer profiles, check a company's social presence, locate a public figure's profiles, social media lookup, social media finder, find accounts across platforms, social profile search, online presence discovery, who is this person on social media, what social media does X use, find username across platforms.

SKILL.md

6.6 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Google β€” Social Media Finder

Name or brand β†’ all social media profiles found on Google (platform, URL, username, bio, followers)

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Given a person's name, brand name, or username, search Google and return all matching social media profile results from known platforms.

Prerequisites

  • No login required β€” Google search is publicly accessible

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session β†’ skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf β€” the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed β€” no need to read scripts/*.py source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.

DOM: social media profile results (data extraction type)

Navigate to the Google search page for the target name, then extract all social media profile results.

Step 1 β€” Navigate:

navigate https://www.google.com/search?q={name}+social+media

Replace {name} with the person's or brand's name, using + in place of spaces (e.g., Taylor+Swift, Elon+Musk, Nike).

Step 2 β€” Wait for page:

wait stable

Step 3 β€” Extract:

eval "$(python scripts/extract-social-profiles.py)"

Output example:

{
  "error": false,
  "count": 5,
  "results": [
    {
      "platform": "Instagram",      // social media platform name
      "username": "taylorswift",    // handle or page name shown alongside platform
      "url": "https://www.instagram.com/taylorswift/",  // direct profile URL
      "title": "Taylor Swift (@taylorswift) β€’ Instagram photos and videos",  // page title
      "snippet": "274M followers Β· 0 following Β· 706 posts ...",  // bio/description snippet from search result
      "followers": "θΆ…θΏ‡ 2.7亿位关注者"  // follower count as displayed (language depends on browser locale)
    }
  ]
}

On error: {"error": true, "message": "..."} β€” check that the browser navigated to a Google search page and .tF2Cxc result containers are present.

Pagination

URL Pagination: URL pattern https://www.google.com/search?q={name}+social+media&start={offset}, where offset = (page - 1) * 10 (page 1 β†’ start=0 or omit, page 2 β†’ start=10, page 3 β†’ start=20). Next page link: a#pnnext. Termination: a#pnnext is absent (last page reached) or no social media results returned.

Success Criteria

result count >= 1 and platform and url fields are non-null for every item

Known Limitations

  • Results depend on Google's index β€” newly created or low-traffic profiles may not appear
  • Follower count text is localized to the browser's display language (e.g., Chinese characters for a Chinese-locale stealth browser)
  • Google may show sub-pages of the same profile as separate results (e.g., both /elonmusk and /elonmusk/with_replies from X); deduplicate by base URL if needed
  • Google SERP layout changes occasionally; if .tF2Cxc stops matching, inspect page HTML for updated container class names

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through the command templates serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Refer to rate information in "Known Limitations" above to add appropriate intervals. To increase throughput, open multiple stealth browser sessions and distribute work across them β€” each session has an independent fingerprint so rate limits apply per session
  • Test before batch execution: After writing a batch script, you must first test with 1-2 items to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
  • Reduce redundant pre-operations: When multiple steps depend on the same prerequisite state, complete them in batch under that state to avoid repeatedly establishing the same state
  • Error resumption: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/social-media-finder-google-social-media-finder.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first β€” it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} β†’ {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned β€” those are task outputs, not experience.

What ships with it: 1 file

3.2 KB alongside SKILL.md, 1 of them executable

scripts/

Gives 0 of the 12 instructions most marketing audience skills give in ~1.3k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • replace spaces with plus signs in the name
  • wait for the page to become stable
  • extract social profile results
  • deduplicate results by base URL
  • terminate pagination when next page link is absent
  • loop command templates serially in one session

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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