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Modèle v08/02 - Scraper Facebook Ads Library vers Amazon

Avancé

Ceci est unMarket Researchworkflow d'automatisation du domainecontenant 24 nœuds.Utilise principalement des nœuds comme If, Set, Code, Limit, Filter. Rechercher automatiquement des produits publicitaires Facebook sur Amazon avec des crawlers Apify

Prérequis
  • •Peut nécessiter les informations d'identification d'authentification de l'API cible
  • •Informations d'identification Google Sheets API
  • •Clé API OpenAI

Nœuds utilisés (24)

If
Set
Code
Limit
Filter
StickyNote
HttpRequest
GoogleSheets
ManualTrigger
SplitInBatches
OpenAi

Catégorie

Étude de marché
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
React Flow
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
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  "meta": {
    "instanceId": "de7078f0855f0e960f39df9530d5e9762516cd1dfa98b13db725c63cf3f45fe9",
    "templateCredsSetupCompleted": true
  },
  "name": "Template v08/02 - Facebook Ad Library to Amazon Scraper",
  "tags": [
    {
      "id": "Ki43TEjHd7EDcykZ",
      "name": "My Templates",
      "createdAt": "2025-07-31T13:58:06.976Z",
      "updatedAt": "2025-07-31T13:58:06.976Z"
    }
  ],
  "nodes": [
    {
      "id": "8ea1eb6a-9814-4935-82f0-dbe7fbe1b318",
      "name": "Déclencheur Manuel",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1632,
        32
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "bb8871d1-2208-406d-9210-e9b4c95d9cc3",
      "name": "Boucle sur les Éléments",
      "type": "n8n-nodes-base.splitInBatches",
      "onError": "continueRegularOutput",
      "position": [
        -672,
        -32
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "3a4ad496-8165-4987-aee1-f804fb8d35fd",
      "name": "Exécuter l'Acteur FB Library",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -1408,
        32
      ],
      "parameters": {
        "method": "POST",
        "options": {},
        "jsonBody": "{\n    \"count\": 10,\n    \"scrapeAdDetails\": true,\n    \"scrapePageAds.activeStatus\": \"all\",\n    \"urls\": [\n        {\n            \"url\": \"https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=US&is_targeted_country=false&media_type=all&q=Wireless%20Mouse&search_type=keyword_unordered&source=fb-logo\",\n            \"method\": \"GET\"\n        }\n    ]\n}",
        "sendBody": true,
        "specifyBody": "json"
      },
      "typeVersion": 4.2
    },
    {
      "id": "7d6752e1-b469-4ed2-a651-bd9be05cc80a",
      "name": "Obtenir le Contenu Scrapé de l'Acteur",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -1184,
        32
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "77462d23-50ef-4990-94ac-bce340f8ec93",
      "name": "Scraper le Contenu du Site Web",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        -384,
        112
      ],
      "parameters": {
        "url": "={{ $json.snapshot.caption }}",
        "options": {}
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "a9849513-c2bd-42b4-97bf-d9d56a52c463",
      "name": "Convertir en Texte Brut",
      "type": "n8n-nodes-base.code",
      "onError": "continueRegularOutput",
      "position": [
        -160,
        112
      ],
      "parameters": {
        "jsCode": "// HTML to Plain Text Converter for n8n Code Node\n// This code takes HTML content and converts it to clean plain text\n\n// Get the HTML content from the previous node\n// Adjust the field name based on your input data structure\nconst htmlContent = $input.first().json.data\n\nif (!htmlContent) {\n  return [{ json: { error: \"No HTML content found in input\" } }];\n}\n\n// Function to strip HTML tags and decode HTML entities\nfunction htmlToPlainText(html) {\n  let text = html;\n  \n  // Remove script and style elements completely\n  text = text.replace(/<script[^>]*>[\\s\\S]*?<\\/script>/gi, '');\n  text = text.replace(/<style[^>]*>[\\s\\S]*?<\\/style>/gi, '');\n  \n  // Replace common block elements with line breaks\n  text = text.replace(/<\\/?(div|p|br|h[1-6]|li|tr)[^>]*>/gi, '\\n');\n  \n  // Replace list items with bullet points\n  text = text.replace(/<li[^>]*>/gi, '• ');\n  \n  // Remove all remaining HTML tags\n  text = text.replace(/<[^>]*>/g, '');\n  \n  // Decode common HTML entities\n  const entityMap = {\n    '&amp;': '&',\n    '&lt;': '<',\n    '&gt;': '>',\n    '&quot;': '\"',\n    '&#39;': \"'\",\n    '&apos;': \"'\",\n    '&nbsp;': ' ',\n    '&copy;': '©',\n    '&reg;': '®',\n    '&trade;': '™',\n    '&hellip;': '...',\n    '&mdash;': '—',\n    '&ndash;': '–'\n  };\n  \n  for (const [entity, char] of Object.entries(entityMap)) {\n    text = text.replace(new RegExp(entity, 'g'), char);\n  }\n  \n  // Decode numeric HTML entities (e.g., &#123;)\n  text = text.replace(/&#(\\d+);/g, (match, dec) => {\n    return String.fromCharCode(dec);\n  });\n  \n  // Decode hex HTML entities (e.g., &#x1F;)\n  text = text.replace(/&#x([0-9A-Fa-f]+);/g, (match, hex) => {\n    return String.fromCharCode(parseInt(hex, 16));\n  });\n  \n  // Clean up whitespace\n  text = text.replace(/\\n\\s*\\n/g, '\\n\\n'); // Remove excessive line breaks\n  text = text.replace(/[ \\t]+/g, ' '); // Replace multiple spaces/tabs with single space\n  text = text.trim(); // Remove leading/trailing whitespace\n  \n  return text;\n}\n\ntry {\n  const plainText = htmlToPlainText(htmlContent);\n  \n  return [{\n    json: {\n      originalHtml: htmlContent,\n      plainText: plainText,\n      characterCount: plainText.length,\n      wordCount: plainText.split(/\\s+/).filter(word => word.length > 0).length,\n      success: true\n    }\n  }];\n  \n} catch (error) {\n  return [{\n    json: {\n      error: `Failed to convert HTML to text: ${error.message}`,\n      originalHtml: htmlContent,\n      success: false\n    }\n  }];\n}"
      },
      "typeVersion": 2,
      "alwaysOutputData": true
    },
    {
      "id": "589ecbf9-917f-470e-9ade-5553b453421f",
      "name": "Exécuter l'Acteur de Recherche Amazon",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        768,
        128
      ],
      "parameters": {
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"input\": [\n        {\n            \"keyword\": \"{{ $json.message.content }}\",\n            \"domainCode\": \"com\",\n            \"sortBy\": \"recent\",\n            \"maxPages\": 1,\n            \"category\": \"aps\"\n        }\n    ]\n}",
        "sendBody": true,
        "specifyBody": "json"
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "54bfb46b-4972-4cd0-a471-daf64f4f8aa2",
      "name": "Modifier les Champs1",
      "type": "n8n-nodes-base.set",
      "onError": "continueRegularOutput",
      "position": [
        1216,
        128
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "d4bca713-ea0f-496b-935a-c7e03939c993",
              "name": "amazonURL",
              "type": "string",
              "value": "={{ 'https://www.amazon.com'.concat($json.dpUrl) }}"
            },
            {
              "id": "aa404d43-dd49-4836-be25-9546b764c44e",
              "name": "productTitle",
              "type": "string",
              "value": "={{ $json.productDescription }}"
            },
            {
              "id": "7e5ba88b-fd1b-44a3-999b-25fecc0dfdf1",
              "name": "price",
              "type": "number",
              "value": "={{ $json.price }}"
            },
            {
              "id": "756647b3-5893-498a-9233-afc4a7e25023",
              "name": "productRating",
              "type": "number",
              "value": "={{ $json.productRating.slice(0,3) }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "657bf062-6adb-4b04-b76b-ecec8c11ff33",
      "name": "Filtre",
      "type": "n8n-nodes-base.filter",
      "onError": "continueRegularOutput",
      "position": [
        1440,
        128
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "05637cd3-af97-4c9a-908e-ce53f5d89d2a",
              "operator": {
                "type": "number",
                "operation": "gte"
              },
              "leftValue": "={{ $json.productRating }}",
              "rightValue": 4.3
            }
          ]
        }
      },
      "typeVersion": 2.2,
      "alwaysOutputData": true
    },
    {
      "id": "c4e12fad-a045-4e97-a6c0-da1eecf92e27",
      "name": "Limite",
      "type": "n8n-nodes-base.limit",
      "position": [
        1792,
        128
      ],
      "parameters": {},
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "ecd58583-9264-493c-8f9c-d1806efcae5a",
      "name": "Sauvegarder les Éléments",
      "type": "n8n-nodes-base.set",
      "position": [
        2016,
        128
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c035dbc4-96c7-41f3-abc4-865026954816",
              "name": "amazonURL",
              "type": "string",
              "value": "={{ $json.amazonURL }}"
            },
            {
              "id": "4eed2bbc-41f3-4deb-8704-a121180645d3",
              "name": "productTitle",
              "type": "string",
              "value": "={{ $json.productTitle }}"
            },
            {
              "id": "1dcbb87d-c334-42e6-947e-3ef53496031c",
              "name": "price",
              "type": "number",
              "value": "={{ $json.price }}"
            },
            {
              "id": "00c79031-b624-4ac4-a6dc-1415bbc99b96",
              "name": "productRating",
              "type": "number",
              "value": "={{ $json.productRating }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "8303de9c-cd7b-4b0e-9872-3288adda8e3e",
      "name": "Sauvegarder les Données FB",
      "type": "n8n-nodes-base.set",
      "position": [
        -960,
        32
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "36d7a682-5612-4303-9074-e9b4af4d70ab",
              "name": "snapshot.page_name",
              "type": "string",
              "value": "={{ $json.snapshot.page_name }}"
            },
            {
              "id": "33a6254a-1d92-4b7f-b93f-db437bacbfa9",
              "name": "snapshot.page_profile_uri",
              "type": "string",
              "value": "={{ $json.snapshot.page_profile_uri }}"
            },
            {
              "id": "f20599df-72d4-4aa9-bbff-752989bb8308",
              "name": "snapshot.caption",
              "type": "string",
              "value": "={{ $json.snapshot.cards[0].link_url }}"
            },
            {
              "id": "f4e5ed8c-3486-46b5-a52f-fd764f069dc5",
              "name": "snapshot.cards[0].link_url",
              "type": "string",
              "value": "={{ $json.snapshot.cards[0].link_url }}"
            },
            {
              "id": "9cc1a88d-3a08-433f-8952-0167d7c02648",
              "name": "snapshot.body.text",
              "type": "string",
              "value": "={{ $json.snapshot.body.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "6c461b84-6113-4e85-a56b-0497cfe8ebfc",
      "name": "Ajouter une Ligne dans la Feuille",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        16,
        -304
      ],
      "parameters": {
        "columns": {
          "value": {
            "Price": "={{ $json.price }}",
            "Rating": "={{ $json.productRating }}",
            "Link URL": "={{ $('SaveFBData').item.json.snapshot.cards[0].link_url }}",
            "AmazonURL": "={{ $json.amazonURL }}",
            "FB Page Name": "={{ $('SaveFBData').item.json.snapshot.page_name }}",
            "ProductTitle": "={{ $('Product Name Finder').item.json.message.content }}"
          },
          "schema": [
            {
              "id": "FB Page Name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "FB Page Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Link URL",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Link URL",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "ProductTitle",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "ProductTitle",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "AmazonURL",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "AmazonURL",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Price",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Price",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Rating",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Rating",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "number",
              "display": true,
              "removed": true,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "row_number"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1k5-Arb55v8HoIJueza4GrCiddTueK6thM6gqbWk8gaE/edit#gid=0",
          "cachedResultName": "Tabellenblatt1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1k5-Arb55v8HoIJueza4GrCiddTueK6thM6gqbWk8gaE",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1k5-Arb55v8HoIJueza4GrCiddTueK6thM6gqbWk8gaE/edit?usp=drivesdk",
          "cachedResultName": "Upwork - Abdelmageed - 07/28 - v1.0 - AmazonSearchTest"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "wvNvKEMKTceQSxtR",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.6
    },
    {
      "id": "cb85f819-e250-495c-9c22-3f95339f68ec",
      "name": "Obtenir les Résultats de Recherche Amazon",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        992,
        128
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "9b0b5ec2-f984-45c9-989c-a990a160f3b6",
      "name": "Findeur de Nom de Produit",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        64,
        112
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini",
          "cachedResultName": "GPT-4.1-MINI"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "role": "system",
              "content": "=You are a helpful assistant. You take a Facebook ad's scraped website content, and search for a product being sold on that website. You only take one product, and find the product's name.\n\nThe purpose of this is to search that exact product on Amazon. Thus as an output, you formate that product's name as if you'd want to search it on Amazon. \n\n## Rules\n- If you don't get any content from the website, use the Facebook Ad page name, caption or body text to find the product name. If you still can't find it, say \"No Product Found\" as output.\n\n## Tools\n- Here's the website's scraped content: {{ $json.plainText }}\n- Facebook Ad Page Name: {{ $('SaveFBData').item.json.snapshot.page_name }}\n- Facebook Ad Caption: {{ $('SaveFBData').item.json.snapshot.caption }}\n- Facebook Ad Body Text: {{ $('SaveFBData').item.json.snapshot.body.text }}\n"
            },
            {}
          ]
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "V3Jm4IHcAE2t5qRT",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.8
    },
    {
      "id": "e726b9e1-4c11-4a29-9bc6-4aa5b3aca3e9",
      "name": "Si Aucun Produit Trouvé",
      "type": "n8n-nodes-base.if",
      "position": [
        416,
        112
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "27e73c18-2a7e-47f1-9936-151785ce8633",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.message.content }}",
              "rightValue": "No Product Found"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "5540ad53-3dcd-40d5-b736-ba013b5b8ba7",
      "name": "Note Adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1680,
        -128
      ],
      "parameters": {
        "color": 5,
        "width": 864,
        "height": 368,
        "content": "## 📤 Extract FB Ad Library\n- The first node calls the \"Facebook ad library scraper\" Apify scraper. For that, insert the \"Run Actor synchronously\" API inside API > API Endpoints. Change the FB Ad Library URL inside the JSON.\n- The second node receives the scraper's data. Insert the \"Get last run dataset items\" API."
      },
      "typeVersion": 1
    },
    {
      "id": "68fc52a9-56a4-41ca-b89d-135ebf672ad8",
      "name": "Note Adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -448,
        -16
      ],
      "parameters": {
        "color": 6,
        "width": 1024,
        "height": 304,
        "content": "## 🔎 Find Product Name\n- Scrapes content from the website (see \"{{ $json.snapshot.caption }}\") of the scraped FB Ad. \n- Then searches for the product name to then search that on Amazon via another Apify scraper."
      },
      "typeVersion": 1
    },
    {
      "id": "441bbbce-12bc-41f5-bb98-89906d2991be",
      "name": "Note Adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        688,
        -16
      ],
      "parameters": {
        "color": 2,
        "width": 928,
        "height": 320,
        "content": "## 🔎 Find Product on Amazon\n- The first HTTP Request node calls the \"Amazon Search Scraper\" Apify scraper. For that, insert the \"Run Actor synchronously\" API inside API > API Endpoints. The product name is being inserted into the JSON automatically.\n- The second node receives the scraper's data. Insert the \"Get last run dataset items\" API."
      },
      "typeVersion": 1
    },
    {
      "id": "8e83394d-661a-4254-a422-ce916b1fd81e",
      "name": "Note Adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -448,
        -416
      ],
      "parameters": {
        "color": 4,
        "width": 704,
        "height": 272,
        "content": "## 📥 Insert Products Into Sheet\n- _This is optional_. If you want to save the data in some sort of database, make sure to create a Google spreadsheet first, then insert it here."
      },
      "typeVersion": 1
    },
    {
      "id": "1634ef7c-f911-468c-ad22-a07c6dba6309",
      "name": "Si URL Amazon Trouvée",
      "type": "n8n-nodes-base.if",
      "position": [
        -304,
        -304
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "3e78fef9-a7e1-42d1-abdb-bd3215d535b4",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.amazonURL }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "ce0793de-223d-4eac-bf15-c7d7bcac1d03",
      "name": "Note Adhésive4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1696,
        -16
      ],
      "parameters": {
        "color": 7,
        "width": 512,
        "height": 304,
        "content": "## Limit\n- Instead of having multiple searches of the same product, this limits the Amazon search results to 1."
      },
      "typeVersion": 1
    },
    {
      "id": "7f80d667-558a-4ea4-a3f3-f752f96a61fc",
      "name": "Note Adhésive5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2512,
        -320
      ],
      "parameters": {
        "color": 7,
        "width": 576,
        "height": 608,
        "content": "# 👋 Introduction\n\nThis automation workflow is connected with two Apify scrapers. Make sure to connect the two scrapers mentioned in the blue and orange box, with their specific API endpoints.\nOnce connected, this automation automatically scrapes Facebook ads from a specific Facebook Ad Library URL and searches for that same product on Amazon. Can be useful for Amazon FBA or dropshipping.\n\n\nIf you need further help, or want a specific automation to be built for you, feel free to contact me via richard@advetica-systems.com. \n\nRichard\nFounder @ Advetica Systems\n\n\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
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      "name": "Note Adhésive6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2368,
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      "parameters": {
        "color": 7,
        "width": 288,
        "height": 224,
        "content": "![image](https://i.imgur.com/fC1ppRW.png#full-width)"
      },
      "typeVersion": 1
    }
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  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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  "versionId": "76568f5a-ae86-45e9-8936-7fd9f8d5b43b",
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Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Étude de marché

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

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Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Richard Besier

Richard Besier

@richardb

Hey 👋 I've worked with more or less every major no-code automation platform out there - now showing and building AI operating systems for businesses. If you need further help with one of my builds, or just want to chat, feel free to comment and I'll happily respond.

Liens externes
Voir sur n8n.io →

Partager ce workflow

Catégories

IA Multimodale
1540
Intelligence Artificielle
1108
Création de contenu
695
Résumé IA
516
Marketing
419
Chatbot IA
251
Ingénierie
241
Étude de marché
203
Divers
193
Autres
176
Ventes
162
Opérations IT
156
Extraction de documents
147
RAG IA
146
Blocs de construction
144
Réseaux sociaux
137
Génération de leads
125
Productivité personnelle
117
DevOps
111
Ressources Humaines
101
Support
97
Nurturing de leads
87
CRM
82
Finance
81
Produit
77
Chatbot de support
76
Design
70
Gestion des tickets
67
Opérations de sécurité
57
Traitement des factures
53
Trading crypto
49
Gestion de fichiers
39
Gestion de projet
35
Wiki interne
32

Catégories: 34