Extraction des informations d'entreprise LinkedIn

• •Clé API de service IA (comme OpenAI, Anthropic, etc.)

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        "prompt": "=# LinkedIn Company Analysis Prompt\n\nExtract and analyze the following information from the provided LinkedIn company page. Present the results in a structured JSON format.\n\n## Required Data Points\n\n### 1. Company Identity\n- Full company name (including suffixes like Inc., LLC, etc.)\n- Brand tagline/headline (directly under company name)\n- Global headquarters location \n- Company description (full \"About\" section text)\n- Primary website URL (excluding social media links)\n\n### 2. Company Scale\n- Current employee count (from LinkedIn \"X employees\" metric)\n- Employee range bracket: [0-9], [10-150], [150+]\n\n### 3. Business Classification\nEvaluate the following characteristics based on company description, recent posts, and featured content:\n\n#### Automation Agency Status\n- Boolean (true/false) classification\n- Criteria for \"true\":\n  * Company explicitly offers automation services to clients\n  * Core business model involves developing/implementing automations\n  * Primary revenue from automation consulting/development\n\n#### AI Implementation Level\nClassify as [Low/Medium/High] based on:\n- Low: No evidence of AI/automation/scraping usage\n- Medium: Uses AI/automation tools or mentions them as supplementary capabilities\n- High: Core business involves AI development, automation creation, or data harvesting services\n\n### 4. Technical Sophistication\nEvaluate overall technical capabilities as [Basic/Intermediate/Advanced/Expert] based on:\n- Technology stack mentioned\n- Technical job postings\n- Products/services complexity\n- Engineering team size\n- Technical achievements highlighted\n\n### 5. Investment Profile\nIf available, document:\n- Most recent funding round\n- Total funding amount\n- Key investors\n- Last funding date\nMark as \"Not publicly disclosed\" if information unavailable\n\n## Output Format\nReturn data in the following JSON structure, with all fields required, make sure the response contains only the json.\n\n{\n  \"company_profile\": {\n    \"name\": string,\n    \"tagline\": string,\n    \"location\": {\n      \"city\": string,\n      \"state\": string,\n      \"country\": string\n    },\n    \"overview\": string,\n    \"website\": string\n  },\n  \"scale\": {\n    \"employee_count\": number,\n    \"size_bracket\": string\n  },\n  \"classification\": {\n    \"is_automation_agency\": boolean,\n    \"ai_focus_level\": string,\n    \"technical_tier\": string\n  },\n  \"funding\": {\n    \"latest_round\": string,\n    \"total_raised\": string,\n    \"investors\": [string],\n    \"last_updated\": string\n  }\n}",
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        "content": "## Extract company information from LinkedIn"
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        "content": "README\n\n# Automating LinkedIn Company Data Extraction\n\n## Use Case\n\nThis automation extracts detailed company insights from a LinkedIn company page, including identity, scale, classification, and funding data. Ideal for investors, sales teams, and market researchers.\n\n## What This Automation Does\n\nThis automation accepts the following inputs:\n\n- **Company's LinkedIn URL**: The public LinkedIn page URL of the company.\n- **Airtop Profile (connected to LinkedIn)**: Your [Airtop Profile](https://portal.airtop.ai/browser-profiles) authenticated on LinkedIn.\n\nIt then extracts and returns structured data with:\n\n### 1. Company Identity\n- Full name\n- Tagline\n- Headquarters location (city, state, country)\n- About section\n- Website\n\n### 2. Company Scale\n- Current employee count\n- Employee size bracket: [0-9], [10-150], [150+]\n\n### 3. Business Classification\n- Is the company an automation agency? (true/false)\n- AI implementation level: Low / Medium / High\n- Technical sophistication: Basic / Intermediate / Advanced / Expert\n\n### 4. Funding Profile\n- Most recent funding round\n- Total amount raised\n- Key investors\n- Last funding update date\n\n## How It Works\n\n1. Creates an Airtop session using the provided profile.\n2. Navigates to the company LinkedIn page.\n3. Executes an Airtop query to extract data.\n4. Outputs the result in a standardized JSON schema.\n\n## Setup Requirements\n\n1. [Airtop API Key](https://portal.airtop.ai/api-keys)\n2. A [LinkedIn-authenticated Airtop Profile](https://portal.airtop.ai/browser-profiles)\n\n## Next Steps\n\n- **Feed into CRM**: Enrich your accounts with detailed LinkedIn data.\n- **Prioritize Leads**: Use classification and funding data to prioritize outreach.\n- **Combine with People Data**: Integrate with individual-level enrichment for full context.\n"
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