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social-media-finder-skill

Esta skill ajuda usuários a encontrar automaticamente perfis de redes sociais em plataformas como Facebook, Twitter, Instagram, LinkedIn, etc., usando a API BrowserAct.

2.8kestrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add browser-act/skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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Social Media Finder Skill

📖 Brief

This skill automates the discovery of social media accounts associated with individuals, brands, or businesses across multiple platforms. By providing a name, it searches across Facebook, Twitter, Instagram, LinkedIn, TikTok, and more — extracting profile URLs, usernames, follower counts, and bio snippets in one go. The results are returned as a downloadable CSV file.

✨ Features

  1. No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
  2. No Captcha Issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP Restrictions: No need to handle regional IP restrictions or geofencing.
  4. Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
  5. Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions.

🔑 API Key Setup

Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it. Agent must inform the user:

"Since you haven't configured the BrowserAct API Key yet, please visit the BrowserAct Console to get your Key."

🛠️ Input Parameters

The agent should configure the following parameter based on user requirements:

  1. People_Name
  2. Required: Yes
  3. Type: string
  4. Description: The name of the person or brand to search for. Use + between words for better results.
  5. Example: John+Smith, Tesla, Bill+Gates
  6. Default: Mike+Smith

🚀 Invocation Method

Agent should execute the following command to invoke the skill:

# Example invocation
python -u ./scripts/social_media_finder.py "John+Smith"

⏳ Execution Monitoring

Since this task involves automated browser operations, it may take several minutes. The script outputs timestamped status logs continuously (e.g., [14:30:05] Task Status: running). Agent guidelines:

  • Monitor the terminal output while waiting.
  • As long as new status logs appear, the task is running normally; do not misjudge it as frozen.
  • Only consider triggering retry if the status remains unchanged for a long time or output stops without a final result.

📊 Data Output

Upon successful execution, the script retrieves a JSON object containing a files array with a download link to a CSV file. The CSV includes the following structured profile data:

  • Platform name: The social media platform (e.g., LinkedIn, Twitter).
  • Followers count: The number of followers.
  • Page title: The title of the profile page.
  • Description snippet: The bio or description snippet.
  • Profile URL: The direct link to the social media profile.

⚠️ Error Handling & Retry

If an error occurs during script execution (e.g., network fluctuations or task failure), the Agent should follow this logic:

  1. Check Output Content:
  2. If the output contains "Invalid authorization", it means the API Key is invalid or expired. Do not retry; guide the user to re-check and provide the correct API Key.
  3. If the output contains "concurrent" or "too many running tasks", it means the concurrent task limit has been reached. Do not retry; guide the user to upgrade their plan.

Agent must inform the user: > "The current task cannot be executed because your BrowserAct account has reached the concurrent task limit. Please visit the BrowserAct Plan Upgrade Page to upgrade your plan."

  • If the output does not contain the above error keywords but the task failed (e.g., output starts with Error: or returns empty results), the Agent should automatically re-execute the script once.
  1. Retry Limit:
  2. Automatic retry is limited to one time. If the second attempt fails, stop retrying and report the specific error to the user.

🌟 Typical Use Cases

  1. Background Research: Find social media profiles of job candidates or new connections.
  2. Lead Generation: Gather contact information and social profiles for sales prospects.
  3. Competitive Intelligence: Discover the social media footprint of competitors.
  4. Influencer Discovery: Locate content creators across various platforms.
  5. Brand Monitoring: Check a brand's presence across different social networks.
  6. Reconnecting: Find old friends or colleagues online.
  7. Identity Verification: Cross-reference profiles of people met online.
  8. Customer Support: Find official brand accounts for reaching out.
  9. Networking: Research event attendees or potential business partners.
  10. Digital Footprint Audit: Monitor one's own public social media presence.
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