Investigación automática de perfiles de LinkedIn en tiempo real y contacto externo con IA (usando Apify, Gemini y Sheets)

• •Credenciales de API de Google Sheets
• •Clave de API de Google Gemini

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        "content": "## ⏰ Schedule Trigger & 📄 Google Sheets (Input)\nThis part of the workflow runs every 2 minutes.  \nIt fetches new rows (LinkedIn URLs and lead data) from the CRM sheet.  \nOnly leads without Profile Data or Email drafts move forward.\n"
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        "content": "## 🔍 If Check & ⚖️ Limit\n1. The **If node** ensures only leads missing Profile Data and Subject are processed.  \n\n2. The **Limit node** controls batch size to prevent Apify overload or LinkedIn blocks.  \n\nKeeps the workflow safe & efficient.\n"
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        "content": "## 🤖 Apify Actor & 📂 Dataset\n1. Runs the **LinkedIn Profile Scraper** actor on Apify for each LinkedIn URL.  \n\n2. The Dataset node fetches structured results (About, Experience, Roles, Companies).  \n\nThis enriches leads with detailed career data.\n"
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        "content": "## 💾 Google Sheets (Profile Data)\nAppends enriched profile details into the \"Profile Data\" column in Google Sheets.  \nNow each lead row includes About + Experience insights, ready for email personalisation.\n\n"
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        "content": "## 📄 Get Rows Again & 🔍 If Check (Email)\n1. Pulls updated rows after scraping.  \n\n2. Checks if Profile Data exists but \nSubject + Email Body are still empty.  \n\nEnsures only complete profiles go into email generation.\n"
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        "content": "## 🧠 LLM Chain (Gemini via LangChain)\n1. Gemini is instructed to act as an expert B2B cold email copywriter.  \n\n2. It generates personalised subject lines & email bodies using career insights, achievements, and context.  \n\n3. Parser ensures Gemini’s response is valid JSON with \"subject\" + \"email_body\".\n\nResult: high-relevance outreach emails.\n \n"
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        "content": "## 💾 Google Sheets (Final Email)\nFinal email drafts are stored in Google Sheets alongside LinkedIn URL & Profile Data.  \nEach lead row is now fully ready for outreach 🚀.\n"
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        "text": "=**Act as an expert B2B cold email copywriter.** Your specialty is writing highly personalized, concise, and compelling emails that get replies from busy executives. Your style is peer-to-peer, respectful, and avoids generic sales jargon.\n\n\n\n**Your Goal:** Generate 1 distinct email draft to a prospect based on their professional profile. Each email must feel like I have personally researched them and understood their career journey.\n\n\n\n**My Context:**\n\n\n*   **My Company/Service:** We offer MLOps solutions that help companies significantly reduce their cloud costs for AI and machine learning workloads without sacrificing performance.\n\n\n*   **My Core Value Proposition:** We help tech leaders ship AI features faster and more profitably by optimizing their infrastructure.\n\n\n*   **My Call to Action (CTA):** An offer for a complimentary, no-obligation audit of their current ML infrastructure to identify immediate cost-saving opportunities.\n\n\n\n**Prospect's Profile:**\n\n\nFULL PROFILE DETAILS HERE \nFirst Name: {{ $json['First Name'] }}\nLast Name: {{ $json['Last Name'] }}\nJob Title: {{ $json['Job Title'] }}\nCompany Name: {{ $json['Company Name'] }}\nProfile Data: {{ $json['Profile Data'] }}\n\n**Instructions for Crafting the Emails:**\n\n\n\n1.  **Scrutinize the Profile:** Read the entire profile provided. Do not just look at the current job title. Instead, identify the most unique and compelling \"nuggets\" of information. Look for:\n\n\n    *   **Unusual Career Paths:** (e.g., from SysAdmin to VP of Product, or Trader to COO).\n\n\n    *   **Long Tenure / Promotions:** (e.g., spending 9+ years at one company and rising through the ranks).\n\n\n    *   **Specific, Quantifiable Achievements:** (e.g., \"scaled to 4M members\").\n\n\n    *   **\"Boomerang\" Employment:** (e.g., leaving a company and returning later in a more senior role).\n\n\n    *   **Consistent Themes:** (e.g., a career-long focus on \"health and wealth outcomes\").\n\n\n    *   **Past Roles at well-known companies** that are relevant to their current role.\n\n\n\n2.  **Create a \"Hook\" from a Nugget:** Start each email with a genuine, specific observation based on one of these nuggets. This is the most critical step.\n\n\n    *   **Good Example:** \"Your 9-year journey at Wanderu, from Director to leading both Product & Technology, is incredibly impressive.\"\n\n\n    *   **Bad Example:** \"I saw on your LinkedIn profile that you are the VP at Wanderu.\"\n\n\n\n3.  **Build a \"Bridge\":** Immediately connect your observation (the Hook) to a relevant business problem that the prospect likely faces in their *current* role. The problem should be tailored to their title:\n\n\n    *   **For a CTO/VP Engineering:** Frame the problem around infrastructure complexity, scalability, and technical debt.\n\n\n    *   **For a COO/GM:** Frame the problem around operational efficiency, P&L, gross margins, and profitability (COGS).\n\n\n    *   **For a VP Product:** Frame the problem around speed-to-market, feature ROI, and the budget for new initiatives.\n\n\n\n4.  **Introduce the Solution:** Seamlessly introduce my service (MLOps for cost reduction) as the direct solution to the problem you just framed. Use my Core Value Proposition here.\n\n\n\n5.  **Deliver the Call to Action:** End with the specific, low-friction CTA I provided.\n\n\n\n**Final Output Requirements:**\n\n\n*   Provide 1 distinct drafts, each using a different \"nugget\" or angle for the hook.\n\n\n*   Keep each email under 150 words.\n\n\n*   Use a confident, peer-level tone. Avoid overly formal or submissive language.\n\n\n*   Create a compelling, short subject line for each draft.\n\nCritical Information:\n- The output should be divided into \nsubject: \"Subject line\"\nBody: \"Content for email\"\n- Each mail should be different to other one.",
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