{
  "workflow": {
    "id": 4280,
    "name": "TrustPilot SaaS product review tracker with Bright Data & OpenAI",
    "views": 1125,
    "recentViews": 0,
    "totalViews": 1125,
    "createdAt": "2025-05-21T13:08:26.837Z",
    "description": "### Who this is for\nThe TrustPilot SaaS Product Review Tracker is designed for product managers, SaaS growth teams, customer experience analysts, and marketing teams who need to extract, summarize, and analyze customer feedback at scale from TrustPilot.\n\nThis workflow is tailored for:\n\n- **Product Managers** - Monitoring feedback to drive feature improvements\n\n- **Customer Support & CX Teams** - Identifying sentiment trends or recurring issues\n\n- **Marketing & Growth Teams** - Leveraging testimonials and market perception\n\n- **Data Analysts** - Tracking competitor reviews and benchmarking\n\n- **Founders & Executives** - Wanting aggregated insights into customer satisfaction\n\n### What problem is this workflow solving?\nManually monitoring, extracting, and summarizing TrustPilot reviews is time-consuming, fragmented, and hard to scale across multiple SaaS products. \n\nThis workflow automates that process from unlocking the data behind anti-bot layers to summarizing and storing customer insights enabling teams to respond faster, spot trends, and make data-backed product decisions.\n\nThis workflow solves:\n\n- The challenge of scraping protected review data (using Bright Data Web Unlocker)\n\n- The need for structured insights from unstructured review content\n\n- The lack of automated delivery to storage and alerting systems like Google Sheets or webhooks\n\n### What this workflow does\n**Extract TrustPilot Reviews**: Uses Bright Data Web Unlocker to bypass anti-bot protections and pull markdown-based content from product review pages\n\n**Convert Markdown to Text**: Leverages a basic LLM chain to clean and convert scraped markdown into plain text\n\n**Structured Information Extraction**: Uses OpenAI GPT-4o via the Information Extractor node to extract fields like product name, review date, rating, and reviewer sentiment\n\n**Summarization Chain**: Generates concise summaries of overall review sentiment and themes using OpenAI\n\n**Merge & Aggregate Output**: Consolidates individual extracted records into a structured batch output\n\n**Outbound Data Delivery**:\n\n- Google Sheets – Appends summary and structured review data\n\n- Write to Disk – Persists raw and processed content locally\n\n- Webhook Notification – Sends a real-time alert with summarized insights\n\n### Pre-conditions\n\n1. You need to have a [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the \"Setup\" section below.\n2. You need to have an OpenAI Account.\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:1353)\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 Sheet Credentials with your own account. Follow this documentation - [Set Google Sheet Credential](https://docs.n8n.io/integrations/builtin/credentials/google/)\n- In n8n, configure the OpenAi account credentials.\n- Ensure the URL and Bright Data zone name are correctly set in the **Set URL, Filename and Bright Data Zone** node.\n- Set the desired local path in the **Write a file** to disk node to save the responses.\n\n### How to customize this workflow to your needs\n\n**Target Multiple Products** : \n\n- Configure the Bright Data input URL dynamically for different SaaS product TrustPilot URLs\n\n- Loop through a product list and run parallel jobs for each\n\n**Customize Extraction Fields** : \n\nUpdate the prompt in the Information Extractor to include:\n\n- Review title\n- Response from company\n- Specific feature mentions\n- Competitor references\n\n**Tune Summarization Style**\n\n- **Change tone**: executive summary, customer pain-point focus, or marketing quote extract\n\n- **Enable sentiment aggregation** (e.g., 30% negative, 50% neutral, 20% positive)\n\n**Expand Output Destinations**\n\n- Push to Notion, Airtable, or CRM tools using additional webhook nodes\n\n- Generate and send PDF reports (via PDFKit or HTML-to-PDF nodes)\n\n- Schedule summary digests via Gmail or Slack",
    "workflow": {
      "id": "zwjbwtOLKbB9k1df",
      "meta": {
        "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
        "templateCredsSetupCompleted": true
      },
      "name": "TrustPilot SaaS Product Review Tracker with Bright Data & OpenAI",
      "tags": [
        {
          "id": "Kujft2FOjmOVQAmJ",
          "name": "Engineering",
          "createdAt": "2025-04-09T01:31:00.558Z",
          "updatedAt": "2025-04-09T01:31:00.558Z"
        },
        {
          "id": "ZOwtAMLepQaGW76t",
          "name": "Building Blocks",
          "createdAt": "2025-04-13T15:23:40.462Z",
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          "name": "AI",
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        }
      ],
      "nodes": [
        {
          "id": "61361e03-f532-48ff-bea7-9902ec770ecc",
          "name": "When clicking ‘Test workflow’",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            -1700,
            -210
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "f962255b-66cc-43a6-8d56-ce12905a03cf",
          "name": "Set URL and Bright Data Zone",
          "type": "n8n-nodes-base.set",
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          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
                  "name": "url",
                  "type": "string",
                  "value": "https://www.trustpilot.com/review/brightdata.com"
                },
                {
                  "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
                  "name": "zone",
                  "type": "string",
                  "value": "web_unlocker1"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "6b1c8aa5-143f-47cd-acb4-f377fdbb5e66",
          "name": "Perform Bright Data Web Request",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -1260,
            -210
          ],
          "parameters": {
            "url": "https://api.brightdata.com/request",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendHeaders": true,
            "authentication": "genericCredentialType",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "zone",
                  "value": "={{ $json.zone }}"
                },
                {
                  "name": "url",
                  "value": "={{ $json.url }}"
                },
                {
                  "name": "format",
                  "value": "raw"
                },
                {
                  "name": "data_format",
                  "value": "markdown"
                }
              ]
            },
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {}
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "1c6175c1-2378-4c5e-99ea-20f2e3150ae3",
          "name": "Markdown to Textual Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            -1040,
            -210
          ],
          "parameters": {
            "text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
            "messages": {
              "messageValues": [
                {
                  "message": "You are a markdown expert"
                }
              ]
            },
            "promptType": "define"
          },
          "typeVersion": 1.6
        },
        {
          "id": "d6202509-b9ba-4c34-96b7-c1dde45db533",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1720,
            -640
          ],
          "parameters": {
            "width": 400,
            "height": 320,
            "content": "## Note\n\nDeals with the Trust Pilot data extraction and summarization by utilizing the Bright Data Web Unlocker Product.\n\n**Please make sure to set the TrustPilot URL with the Bright Data zone name. Also update the Webhook Notification URL of your interest**"
          },
          "typeVersion": 1
        },
        {
          "id": "be54db23-e209-4f46-af32-9adb8d19bac9",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1260,
            -640
          ],
          "parameters": {
            "width": 480,
            "height": 320,
            "content": "## LLM Usages\n\nOpenAI GPT 4o model is being used.\n\nBasic LLM Chain for converting the markdown to textual content.\n\nInformation Extractor is being used for transforming the markdown to textual content. The Structured Data extraction is also done via the Information Extractor node.\n\nSummarization Chain is being used for creating a summary of the extracted Crunchbase textual content."
          },
          "typeVersion": 1
        },
        {
          "id": "16abf06e-1974-47c0-9b38-78c58053c54b",
          "name": "Structured JSON Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            -580,
            40
          ],
          "parameters": {
            "text": "=Extract the review mentioned below\n\n {{ $json.text }}",
            "options": {},
            "schemaType": "fromJson",
            "jsonSchemaExample": "{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Organization\",\n  \"name\": \"Bright Data\",\n  \"url\": \"https://brightdata.com\",\n  \"logo\": \"https://brightdata.com/assets/logo.png\",\n  \"sameAs\": [\n    \"https://www.trustpilot.com/review/brightdata.com\"\n  ],\n  \"description\": \"Bright Data, the world's #1 web data platform, simplifies the hard work of collecting & preparing web data through SaaS, providing ethical, high-speed, and compliant proxy solutions.\",\n  \"address\": {\n    \"@type\": \"PostalAddress\",\n    \"streetAddress\": \"4 Hamahshev\",\n    \"addressLocality\": \"Netanya\",\n    \"postalCode\": \"4250714\",\n    \"addressCountry\": \"IL\"\n  },\n  \"contactPoint\": {\n    \"@type\": \"ContactPoint\",\n    \"email\": \"user@example.com\",\n    \"contactType\": \"Customer Support\",\n    \"availableLanguage\": [\"English\"]\n  },\n  \"aggregateRating\": {\n    \"@type\": \"AggregateRating\",\n    \"ratingValue\": \"4.3\",\n    \"reviewCount\": 831,\n    \"bestRating\": \"5\",\n    \"worstRating\": \"1\"\n  },\n  \"review\": [\n    {\n      \"@type\": \"Review\",\n      \"author\": {\n        \"@type\": \"Person\",\n        \"name\": \"Ranjit Wankhede\"\n      },\n      \"datePublished\": \"2025-04-29\",\n      \"reviewBody\": \"Incredible support and empathy. Shemi truly listened and understood my concerns, which made all the difference. I felt heard and cared for throughout the process. Outstanding service!\",\n      \"reviewRating\": {\n        \"@type\": \"Rating\",\n        \"ratingValue\": \"5\",\n        \"bestRating\": \"5\",\n        \"worstRating\": \"1\"\n      }\n    }\n  ]\n}\n"
          },
          "typeVersion": 1
        },
        {
          "id": "7679de49-6ec5-4af2-9203-70e8f6f14f69",
          "name": "Google Sheets",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            760,
            -440
          ],
          "parameters": {
            "columns": {
              "value": {},
              "schema": [
                {
                  "id": "data",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "data",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "autoMapInputData",
              "matchingColumns": [
                "data"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "appendOrUpdate",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.YOUR_AWS_SECRET_KEY_HERE_nPvcsXmsXJxWgcTjhAinEQ/edit#gid=0",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1wRJ1tInpPq35WJuKwWaD_nPvcsXmsXJxWgcTjhAinEQ",
              "cachedResultUrl": "https://docs.google.YOUR_AWS_SECRET_KEY_HERE_nPvcsXmsXJxWgcTjhAinEQ/edit?usp=drivesdk",
              "cachedResultName": "SaaS Product Review"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.5
        },
        {
          "id": "e557ffcd-cf51-424c-acf7-3596fb7bb4f5",
          "name": "Create a binary data for Structured Data Extract",
          "type": "n8n-nodes-base.function",
          "position": [
            760,
            -240
          ],
          "parameters": {
            "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
          },
          "typeVersion": 1
        },
        {
          "id": "e1d2fcab-c139-42df-95ca-ae8ab5aa8be2",
          "name": "Write the structured content to disk",
          "type": "n8n-nodes-base.readWriteFile",
          "position": [
            980,
            -240
          ],
          "parameters": {
            "options": {},
            "fileName": "=d:\\TrustPilot-StructuredData.json",
            "operation": "write"
          },
          "typeVersion": 1
        },
        {
          "id": "f01185d3-d41e-41a2-94fb-771eaf7d8f42",
          "name": "Summarization Chain",
          "type": "@n8n/n8n-nodes-langchain.chainSummarization",
          "position": [
            -460,
            -640
          ],
          "parameters": {
            "options": {
              "summarizationMethodAndPrompts": {
                "values": {
                  "prompt": "Write a concise summary of the following:\n\n\n\"{text}\"\n\n\n",
                  "combineMapPrompt": "Write a concise summary of the following:\n\n\n\"{text}\"\n"
                }
              }
            },
            "chunkingMode": "advanced"
          },
          "typeVersion": 2
        },
        {
          "id": "4579a12b-e6a7-4adb-8892-0bd3c4009e90",
          "name": "Merge the responses",
          "type": "n8n-nodes-base.merge",
          "position": [
            220,
            -240
          ],
          "parameters": {},
          "typeVersion": 3.1
        },
        {
          "id": "e310c62c-2ba4-4dbf-a47d-11b75e6e0e2c",
          "name": "Code to extract the first element",
          "type": "n8n-nodes-base.code",
          "position": [
            -140,
            40
          ],
          "parameters": {
            "jsCode": "return $input.first().json.output"
          },
          "typeVersion": 2
        },
        {
          "id": "b784fd99-2016-439d-aff0-f489a0f183af",
          "name": "Aggregate the responses",
          "type": "n8n-nodes-base.aggregate",
          "position": [
            440,
            -240
          ],
          "parameters": {
            "options": {},
            "aggregate": "aggregateAllItemData"
          },
          "typeVersion": 1
        },
        {
          "id": "4ce9f460-0158-4d82-9467-881866e54215",
          "name": "Initiate a Webhook Notification for the Structured Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            760,
            -40
          ],
          "parameters": {
            "url": "https://webhook.site/7b5380a0-0544-48dc-be43-0116cb2d52c2",
            "options": {},
            "sendBody": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "summary",
                  "value": "={{ $json.data }}"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "9dd0000c-daaa-4fa7-b3eb-6b389fb86f89",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -540,
            -720
          ],
          "parameters": {
            "color": 6,
            "width": 440,
            "height": 460,
            "content": "## Summarization"
          },
          "typeVersion": 1
        },
        {
          "id": "7b6e0751-d6af-4f79-9eb5-f45e1f1452ac",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -660,
            -20
          ],
          "parameters": {
            "color": 4,
            "width": 740,
            "height": 420,
            "content": "## Structured Data Extract"
          },
          "typeVersion": 1
        },
        {
          "id": "64723920-d48a-4f60-b3cb-d301afc0f3e0",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            180,
            -600
          ],
          "parameters": {
            "color": 3,
            "width": 1000,
            "height": 760,
            "content": "## Outbound Data Push\nOutbound data handling by merging, aggregating the data and pushing the same to multiple sources such as Google Sheets, Save to Disk, Webhook Notification"
          },
          "typeVersion": 1
        },
        {
          "id": "a2f3ac27-3356-418d-96bc-2b14a87b375f",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1720,
            -1080
          ],
          "parameters": {
            "color": 7,
            "width": 400,
            "height": 400,
            "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
          },
          "typeVersion": 1
        },
        {
          "id": "9128bb19-6bd1-48bc-8219-fa43e2b86218",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -960,
            20
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "ac51c8fe-6441-41ef-b90d-a03e310bd365",
          "name": "OpenAI Chat Model for Structured Data",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -500,
            260
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "7faf6ec0-2ff6-4f23-9122-5f0333c068b2",
          "name": "OpenAI Chat Model for Summarization",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -420,
            -420
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "68dc5e3c-3e36-4be6-93b3-ba70613f64c6",
      "connections": {
        "OpenAI Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Markdown to Textual Data Extractor",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Merge the responses": {
          "main": [
            [
              {
                "node": "Aggregate the responses",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Summarization Chain": {
          "main": [
            [
              {
                "node": "Merge the responses",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Aggregate the responses": {
          "main": [
            [
              {
                "node": "Google Sheets",
                "type": "main",
                "index": 0
              },
              {
                "node": "Initiate a Webhook Notification for the Structured Data",
                "type": "main",
                "index": 0
              },
              {
                "node": "Create a binary data for Structured Data Extract",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Set URL and Bright Data Zone": {
          "main": [
            [
              {
                "node": "Perform Bright Data Web Request",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Structured JSON Data Extractor": {
          "main": [
            [
              {
                "node": "Code to extract the first element",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Perform Bright Data Web Request": {
          "main": [
            [
              {
                "node": "Markdown to Textual Data Extractor",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Code to extract the first element": {
          "main": [
            [
              {
                "node": "Merge the responses",
                "type": "main",
                "index": 1
              }
            ]
          ]
        },
        "When clicking ‘Test workflow’": {
          "main": [
            [
              {
                "node": "Set URL and Bright Data Zone",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Markdown to Textual Data Extractor": {
          "main": [
            [
              {
                "node": "Structured JSON Data Extractor",
                "type": "main",
                "index": 0
              },
              {
                "node": "Summarization Chain",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model for Summarization": {
          "ai_languageModel": [
            [
              {
                "node": "Summarization Chain",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model for Structured Data": {
          "ai_languageModel": [
            [
              {
                "node": "Structured JSON Data Extractor",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Create a binary data for Structured Data Extract": {
          "main": [
            [
              {
                "node": "Write the structured content to disk",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 22,
      "nodeTypes": {
        "n8n-nodes-base.set": {
          "count": 1
        },
        "n8n-nodes-base.code": {
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        },
        "n8n-nodes-base.merge": {
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        },
        "n8n-nodes-base.function": {
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        },
        "n8n-nodes-base.aggregate": {
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                "Chains",
                "Root Nodes"
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            }
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              "Language Models": [
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        "group": "[\"input\"]",
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          }
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