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    "name": "Generate company stories from LinkedIn with Bright Data & Google Gemini",
    "views": 1043,
    "recentViews": 0,
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    "createdAt": "2025-04-13T11:18:22.841Z",
    "description": "### Who this is for?\n\nThe LinkedIn Company Story Generator is an automated workflow that extracts company profile data from LinkedIn using Bright Data's web scraping infrastructure, then transforms that data into a professionally written narrative or story using a language model (e.g., OpenAI, Gemini). The final output is sent via webhook notification, making it easy to publish, review, or further automate.\n\nThis workflow is tailored for:​\n\n- **Marketing Professionals**: Seeking to generate compelling company narratives for campaigns.​\n\n- **Sales Teams**: Aiming to understand potential clients through summarized company insights.​\n\n- **Content Creators**: Looking to craft stories or articles based on company data.​\n\n- **Recruiters**: Interested in obtaining concise overviews of companies for talent acquisition strategies.​\n\n### What problem is this workflow solving?\n\nManually gathering and summarizing company information from LinkedIn can be time-consuming and inconsistent. This workflow automates the process, ensuring:​\n\n- **Efficiency**: Quick extraction and summarization of company data.​\n\n- **Consistency**: Standardized summaries for uniformity across use cases.​\n\n- **Scalability**: Ability to process multiple companies without additional manual effort.\n\n### What this workflow does\n\nThe workflow performs the following steps:​\n\n- **Input Acquisition**: Receives a company's name or LinkedIn URL as input.​\n\n- **Data Extraction**: Utilizes Bright Data to scrape the company's LinkedIn profile.​\n\n- **Information Parsing**: Processes the extracted HTML content to retrieve relevant company details.​\n\n- **Summarization**: Employs AI Google Gemini to generate a concise company story.\n\n- **Output Delivery**: Sends the summarized content to a specified webhook or email address.\n\n### Setup\n\n- Sign up at [Bright Data](https://brightdata.com/).\n- Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.\n- In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication).\n![Header Authentication.png](fileId:1230)\nThe Value field should be set with the\n**Bearer XXXXXXXXXXXXXX**. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.\n- In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).\n- Update the LinkedIn URL by navigating to the **Set LinkedIn URL** node.\n- Update the **Webhook HTTP Request** node with the Webhook endpoint of your choice.\n\n### How to customize this workflow to your needs\n\n- **Input Variations**: Modify the **Set LinkedIn URL** node to accept a different company LinkedIn URL.\n\n- **Data Points**: Adjust the HTML Data Extractor Node to retrieve additional details like employee count, industry, or headquarters location.​\n\n- **Summarization Style**: Customize the AI prompt to generate summaries in different tones or formats (e.g., formal, casual, bullet points).​\n\n- **Output Destinations**: Configure the output node to send summaries to various platforms, such as Slack, CRM systems, or databases.\n\n",
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      "name": "Generate Company Stories from LinkedIn with Bright Data & Google Gemini",
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            "content": "## Note\n\nDeals with the LinkedIn data extraction using the Bright Data Web Scrapper API.\n\nThe information extraction and summarization are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to set the LinkedIn URL and Webhook Notification URL**"
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            "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nInformation extraction is being used for formatting the LinkedIn response to produce a story.\n\nSummarization Chain is being used for summarization of the content"
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                  "combineMapPrompt": "=Write a concise summary of the following:\n\n\n\n\n\nCONCISE SUMMARY: {{ $json.output.company_story }}"
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            ],
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            "subcategories": {
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            "name": "AI"
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            "name": "Langchain"
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        "icon": "file:binary.svg",
        "name": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
        "codex": {
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            },
            "categories": [
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              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Document Loaders"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Default Data Loader"
        },
        "iconData": {
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            "name": "AI"
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            "id": 26,
            "name": "Langchain"
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        "icon": "file:google.svg",
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            },
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              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Google Gemini Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
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            "name": "AI"
          },
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            "id": 26,
            "name": "Langchain"
          }
        ]
      },
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        "icon": "fa:project-diagram",
        "name": "@n8n/n8n-nodes-langchain.informationExtractor",
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                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/"
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            "subcategories": {
              "AI": [
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                "Root Nodes"
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            }
          }
        },
        "group": "[\"transform\"]",
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        },
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        "displayName": "Information Extractor",
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    "categories": [
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        "id": 31,
        "name": "Content Creation"
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      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": [
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        "id": 1230,
        "url": "https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-prod/assets/Header_Authentication_57911a7cea.png"
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}