Utilisation d'Apollo, GPT-4 et Telegram pour la génération de prospects pilotée par l'IA vers une base de données

• •Informations de connexion à la base de données PostgreSQL
• •URL et Clé API Supabase
• •Token Bot Telegram
• •Clé API OpenAI

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              "fieldValue": "={{ $json.firstName }}"
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              "fieldId": "emailAddress"
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            {
              "fieldId": "linkedInURL"
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            {
              "fieldId": "jobTitle",
              "fieldValue": "={{ $json.jobTitle }}"
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              "fieldId": "country",
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            },
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              "fieldId": "websiteURL",
              "fieldValue": "={{ $json.websiteURL }}"
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              "fieldId": "businessIndustry",
              "fieldValue": "={{ $json.businessIndustry }}{{ $('Apollo Scraper').item.json.organization.industry }}"
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              "fieldId": "lastName",
              "fieldValue": "={{ $json.lastName }}"
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              "name": "output",
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        "updates": [
          "message"
        ],
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "U8xdVwgLeiKDKbuS",
          "name": "lead chat"
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      "typeVersion": 1.1
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    {
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      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2880,
        -520
      ],
      "parameters": {
        "color": 3,
        "width": 860,
        "height": 600,
        "content": "# First step: recieve the message via audio or text"
      },
      "typeVersion": 1
    },
    {
      "id": "e6f0b89f-c519-4d5a-9c0a-c226636f7144",
      "name": "Note adhésive1",
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      "position": [
        -2000,
        -520
      ],
      "parameters": {
        "width": 580,
        "height": 600,
        "content": "# Create the json for the url"
      },
      "typeVersion": 1
    },
    {
      "id": "34f4f9e6-570a-4379-b2a7-740b420d66ac",
      "name": "Note adhésive2",
      "type": "n8n-nodes-base.stickyNote",
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      "parameters": {
        "color": 6,
        "width": 1400,
        "height": 800,
        "content": "## Who’s it for\nGrowth hackers, SDR teams, and founders who collect lead requests via Telegram (voice or text) and want those leads scraped, verified, de-duplicated, and stored in a single Supabase table—hands-free.\n\n## How it works\n1. **Telegram trigger** captures a user’s text or voice note.  \n2. **OpenAI Whisper + GPT agent** parse the message and build a structured search query.  \n3. A **Code node** crafts a people-search URL, then an **HTTP request** calls the Apify Apollo-io Scraper to pull up to 500 contacts.  \n4. **Filters** keep only “verified” emails and compare them to a Postgres list of already-scraped addresses to avoid duplicates.  \n5. Fresh contacts are inserted into the Supabase table **Leads_n-mail**, and the bot replies with a count of new rows added. :contentReference[oaicite:0]{index=0}\n\n## How to set up\n1. Replace the hard-coded Apify token in **Apollo Scraper** with an environment variable.  \n2. Add OpenAI credentials for Whisper & GPT nodes.  \n3. Point the Postgres “dedupe” node at your existing email table (or skip it).  \n4. Update the Supabase connection and table name, then test with a sample voice note.\n\n### Supabase column headers  \n`firstName | lastName | emailAddress | linkedInURL | jobTitle | companyName | location | country | websiteURL | businessIndustry | seniority | number`\n\n## Requirements\n- Telegram Bot token  \n- OpenAI API key  \n- Apify account with Apollo-io Scraper actor  \n- Supabase project credentials (or swap for Airtable/Sheets)  \n- n8n v0.231+ self-hosted or Cloud\n\n## How to customize the workflow\n- **Change the prompt** to capture extra fields (e.g., funding stage).  \n- **Adjust totalRecords** in the HTTP node to pull more or fewer leads.  \n- **Swap storage**—write to Airtable, HubSpot, or Sheets instead of Supabase.  \n- **Add enrichment**—insert Clearbit or Hunter steps before the insert.\n\n"
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      "typeVersion": 1
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      "name": "Note adhésive3",
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      "position": [
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      "parameters": {
        "color": 5,
        "width": 880,
        "height": 280,
        "content": "## Scrape the leads from apify actor"
      },
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        "height": 240,
        "content": "## Insert the new leads to your database\n\n*can be airtable/sheets/supabase"
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        "mode": "raw",
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        "jsonOutput": "={\n  \"query\": {{ $json.output }}\n}\n\n"
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      "typeVersion": 3.4
    },
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      "id": "20b67f44-e172-4e68-ba98-d26aad440cc9",
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      "position": [
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      "parameters": {
        "text": "={{ $json.text }}",
        "options": {
          "systemMessage": "=# Role\nYou are LeadChat. Your single job is to return a **JSON array of one object** that tells the sub-workflow what to scrape.\n\n# Required JSON schema\n```json\n[\n  {\n    \"location\": [\"city+country\"],      // lowercase, spaces→+\n    \"business\": [\"industry\"],          // lowercase, words→+\n    \"job_title\": [\"role\"]              // lowercase, words→+\n  }\n]\n"
        },
        "promptType": "define",
        "hasOutputParser": true
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      "typeVersion": 1.9
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      "id": "e71f90ea-9a6e-4617-b321-4eb3f54b3613",
      "name": "Exécuter un acteur",
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        "build": "latest",
        "actorId": {
          "__rl": true,
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