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    "name": "Extract Amazon best seller electronic info with Bright Data and Google Gemini",
    "views": 2907,
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    "createdAt": "2025-04-23T23:12:11.729Z",
    "description": "### Who this is for?\n\nExtract Amazon Best Seller Electronic Info is an automated workflow that extracts best seller data from Amazon's Electronics section using Bright Data Web Unlocker, transform it into structured JSON using Google Gemini's LLM, and forwards a fully structured JSON response to a specified webhook for downstream use.\n\nThis workflow is tailored for:\n\n- **eCommerce Analysts**\nWho need to monitor Amazon best-seller trends in the Electronics category and track changes in real-time or on a schedule.\n\n- **Product Intelligence Teams**\nWho want structured insights on competitor offerings, including rankings, prices, ratings, and promotions.\n\n- **AI-powered Chatbot Developers**\nWho are building assistants capable of answering product-related queries with fresh, structured data from Amazon.\n\n- **Growth Hackers & Marketers**\nLooking to automate competitive research and surface trending product data to inform pricing strategies.\n\n- **Data Aggregators and Price Trackers**\nWho need reliable and smart scraping of Amazon data enriched with AI-driven parsing.\n\n### What problem is this workflow solving?\nKeeping up with Amazon's best sellers in Electronics is a time-consuming, error-prone task when done manually.This workflow automates the process, ensuring:​\n\n- Automating Data Extraction from Amazon Best Sellers using Bright Data, ensuring reliable access to real-time, structured data.\n\n- Enhancing Raw Data with Google Gemini, turning product lists into structured JSON using the Google Gemini LLM.\n\n- Sending Results to a Webhook, enabling seamless integration into dashboards, databases, or chatbots.\n\n### What this workflow does\n\nThe workflow performs the following steps:​\n\n- Extracts Amazon Best Seller Electronics page info using Bright Data's Web Unlocker API.\n\n- Processes the unstructured content using Google Gemini's Flash Exp model to extract structured product data.\n\n- Sends the structured information to a webhook endpoint.\n\n### Setup\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:1237)\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 Amazon URL with the Bright Data zone by navigating to the **Amazon URL with the Bright Data Zone** 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\nThis workflow is built to be flexible - whether you're a market researcher, e-commerce entrepreneur, or data analyst. Here's how you can adapt it to fit your specific use case:\n\n- **Change the Amazon Category**\nUpdate the Amazon URL with the topic of your interest such as Computers & Accessories, Home Audio, etc.\n\n- **Customize the Gemini Prompt**\nUpdate the Gemini prompt to get different styles of output — comparison tables, summaries, feature highlights, etc.\n\n- **Send Output to Other Destinations**\nReplace the Webhook URL to forward output to:\n\n1. Google Sheets\n2. Airtable\n3. Slack or Discord\n4. Custom API endpoints\n\n\n\n",
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      },
      "name": "Extract Amazon Best Seller Electronic Information with Bright Data and Google Gemini",
      "tags": [
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          "createdAt": "2025-04-09T01:31:00.558Z",
          "updatedAt": "2025-04-09T01:31:00.558Z"
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          "name": "AI",
          "createdAt": "2025-04-13T05:38:08.053Z",
          "updatedAt": "2025-04-13T05:38:08.053Z"
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            "height": 140,
            "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nInformation Extraction for building the structured data"
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        },
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            "googlePalmApi": {
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              "name": "httpHeaderAuth Credential"
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              "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."
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            "schemaType": "manual",
            "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n  \"title\": \"Amazon Bestsellers - Smartphones & Basic Mobiles\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"category\": {\n      \"type\": \"string\",\n      \"example\": \"Smartphones & Basic Mobiles\"\n    },\n    \"description\": {\n      \"type\": \"string\",\n      \"example\": \"Our most popular products based on sales. Updated frequently.\"\n    },\n    \"page\": {\n      \"type\": \"string\",\n      \"example\": \"Page 1 of 2\"\n    },\n    \"bestsellers\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"rank\": {\n            \"type\": \"integer\",\n            \"example\": 1\n          },\n          \"title\": {\n            \"type\": \"string\",\n            \"example\": \"OnePlus Nord CE4 (Dark Chrome, 8GB RAM, 256GB Storage)\"\n          },\n          \"image\": {\n            \"type\": \"string\",\n            \"format\": \"uri\",\n            \"example\": \"https://images-eu.ssl-images-amazon.com/images/I/61g1pqSjAhL._AC_UL300_SR300,200_.jpg\"\n          },\n          \"rating\": {\n            \"type\": \"object\",\n            \"properties\": {\n              \"stars\": {\n                \"type\": \"number\",\n                \"example\": 4.2\n              },\n              \"total_ratings\": {\n                \"type\": \"integer\",\n                \"example\": 8051\n              }\n            },\n            \"required\": [\"stars\", \"total_ratings\"]\n          },\n          \"offer\": {\n            \"type\": \"string\",\n            \"example\": \"1 offer from ₹23,998.00\"\n          },\n          \"product_url\": {\n            \"type\": \"string\",\n            \"format\": \"uri\",\n            \"example\": \"https://www.amazon.in/Oneplus-Nord-Chrome-256GB-Storage/dp/B0CX5BZXLF/\"\n          }\n        },\n        \"required\": [\"rank\", \"title\", \"image\", \"rating\", \"offer\", \"product_url\"]\n      }\n    }\n  },\n  \"required\": [\"category\", \"description\", \"page\", \"bestsellers\"]\n}\n"
          },
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          "name": "Set Amazon URL with the Bright Data Zone",
          "type": "n8n-nodes-base.set",
          "notes": "Set the URL which you are interested to scrap the data",
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          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "1c132dd6-31e4-453b-a8cf-cad9845fe55b",
                  "name": "url",
                  "type": "string",
                  "value": "https://www.amazon.YOUR_AWS_SECRET_KEY_HERE?product=unlocker&method=api"
                },
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                  "id": "0fa387df-2511-4228-b6aa-237cceb3e9c7",
                  "name": "zone",
                  "type": "string",
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            "content": "## Note\n\nDeals with the Amazon Best Seller Electronic data extraction using the Bright Data and LLM for Information Extraction.\n\n**Please make sure to update the \"Set Amazon URL with the Bright Data Zone\" and the Webhook Notification URL**"
          },
          "typeVersion": 1
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    "status": "published",
    "user": {
      "name": "Ranjan Dailata",
      "username": "ranjancse",
      "bio": "A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com ",
      "verified": true,
      "links": [
        "https://www.linkedin.com/in/ranjan-dailata/"
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