The Complete n8n Fiverr Workflow: Node-by-Node Breakdown + JSON Export

The Complete n8n Fiverr Workflow: Node-by-Node Breakdown + JSON Export

Part 2 of: "I Automated My Fiverr Gig Delivery — Here's the n8n Workflow"

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What You're Getting

In [Part 1](https://codehustle.tech/posts/automated-fiverr-gig-n8n-2026/), I showed you the high-level automation that cut my Fiverr delivery time from 4 hours to 20 minutes.

In this post, I'm giving you:
- Every single node in the workflow (12 total)
- Configuration screenshots for each node
- The complete JSON export (copy-paste ready)
- Error handling that saved me 3am wake-up calls
- Rate limiting that keeps Fiverr from banning you

Time to build: 45 minutes
Skill level: Intermediate (I'll explain every step)

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The Workflow Overview

[Fiverr Webhook] → [Order Parser] → [Data Scraper] → [AI Processor] 
                                                      ↓
[File Generator] ← [Quality Check] ← [Formatter] ← [Validator]
        ↓
[Fiverr Message] → [Done]

12 nodes. 4 failsafes. 0 manual work.

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Node-by-Node Breakdown

Node 1: Webhook Trigger

Purpose: Catch new Fiverr orders instantly

{
  "name": "Fiverr Order Webhook",
  "type": "n8n-nodes-base.webhook",
  "typeVersion": 1,
  "position": [250, 300],
  "webhookId": "fiverr-order-trigger",
  "path": "fiverr-order",
  "responseMode": "onReceived",
  "options": {}
}

Why this matters: Fiverr sends webhook when order status changes. We're listening for "order.started" events.

Critical setting: responseMode: onReceived — Responds immediately so Fiverr doesn't timeout.

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Node 2: Order Parser (Code Node)

Purpose: Extract requirements from Fiverr's messy JSON

// Extract clean data from Fiverr webhook
const order = $input.first().json.body;

return {
  json: {
    orderId: order.order_id,
    buyerName: order.buyer.username,
    requirements: order.requirements?.[0]?.answer || "",
    gigTitle: order.gig.title,
    deliveryDays: order.duration,
    price: order.amount,
    deadline: new Date(order.deadline).toISOString()
  }
};

What this does: Fiverr's webhook has 50+ fields. This extracts only what we need.

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Node 3: Requirements Validator (IF Node)

Purpose: Check if buyer actually filled requirements

{
  "name": "Requirements Valid?",
  "type": "n8n-nodes-base.if",
  "typeVersion": 1,
  "position": [450, 300],
  "conditions": {
    "options": {
      "caseSensitive": true,
      "leftValue": "={{ $json.requirements }}",
      "type": "string",
      "operation": "isNotEmpty"
    }
  }
}

Error handling: If requirements empty → Send message asking for details → Wait for response.

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Node 4: Data Scraper (HTTP Request)

Purpose: Scrape data based on buyer requirements

This varies by gig type. For my data scraping gig:

{
  "name": "Scrape Target Site",
  "type": "n8n-nodes-base.httpRequest",
  "typeVersion": 4.1,
  "position": [650, 300],
  "method": "POST",
  "url": "https://api.scrapingbee.com/v1",
  "sendBody": true,
  "bodyParameters": {
    "parameters": [
      {
        "name": "url",
        "value": "={{ $json.targetUrl }}"
      },
      {
        "name": "render_js",
        "value": "true"
      },
      {
        "name": "api_key",
        "value": "={{ $env.SCRAPINGBEE_API_KEY }}"
      }
    ]
  }
}

Rate limiting: Built into ScrapingBee API (handles it for us).

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Node 5: Data Parser (Code Node)

Purpose: Turn raw HTML into structured JSON

const cheerio = require('cheerio');
const html = $input.first().json.data;
const $ = cheerio.load(html);

// Extract based on gig requirements
const results = [];
$('.product-item').each((i, el) => {
  results.push({
    name: $(el).find('.title').text().trim(),
    price: $(el).find('.price').text().trim(),
    link: $(el).find('a').attr('href')
  });
});

return { json: { data: results, count: results.length } };

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Node 6: AI Processor (OpenAI Node)

Purpose: Clean and format data using GPT-4

{
  "name": "Format with GPT-4",
  "type": "@n8n/n8n-nodes-langchain.agent",
  "typeVersion": 1,
  "position": [1050, 300],
  "options": {
    "systemMessage": "You are a data formatting assistant. Clean the following scraped data, remove duplicates, standardize prices, and return as JSON array."
  },
  "prompt": "={{ JSON.stringify($json.data) }}"
}

Why AI here:
- Removes duplicates (same product, different URLs)
- Standardizes price formats ($1,200 vs 1200 USD)
- Flags low-quality entries
- Formats for final export

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Node 7: Quality Gate (IF Node)

Purpose: Check data quality before delivery

{
  "name": "Quality Check",
  "type": "n8n-nodes-base.if",
  "typeVersion": 1,
  "position": [1250, 300],
  "conditions": {
    "options": {
      "leftValue": "={{ $json.count }}",
      "type": "number",
      "operation": "gt",
      "rightValue": "={{ $input.first().json.minRequired }}"
    }
  }
}

If quality fails: Loop back to Node 4 with different selectors.

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Node 8: File Generator (Code Node)

Purpose: Create Excel/CSV for buyer

const XLSX = require('xlsx');
const data = $input.first().json.data;

// Create workbook
const ws = XLSX.utils.json_to_sheet(data);
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, "Results");

// Convert to base64 for Fiverr attachment
const buffer = XLSX.write(wb, { type: 'buffer', bookType: 'xlsx' });
const base64 = buffer.toString('base64');

return {
  json: {
    fileName: `results-${$input.first().json.orderId}.xlsx`,
    fileData: base64,
    fileSize: buffer.length
  }
};

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Node 9: Fiverr Message Sender

Purpose: Deliver file + message to buyer

{
  "name": "Send to Fiverr",
  "type": "n8n-nodes-base.httpRequest",
  "typeVersion": 4.1,
  "position": [1650, 300],
  "method": "POST",
  "url": "https://www.fiverr.com/api/v1/orders/{{ $json.orderId }}/messages",
  "authentication": "genericCredentialType",
  "genericCredentialType": "httpHeaderAuth",
  "sendBody": true,
  "bodyParameters": {
    "parameters": [
      {
        "name": "message",
        "value": "Hi! I've completed your order. Here's your data file. Let me know if you need any adjustments!"
      },
      {
        "name": "attachment",
        "value": "={{ $json.fileData }}"
      }
    ]
  }
}

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Node 10-12: Error Handling & Logging

Error Handler Node:

// If any node fails, log it and send alert
const error = $input.first().json.error;

// Send Telegram alert
await $httpRequest({
  method: 'POST',
  url: `https://api.telegram.org/bot{{$env.TELEGRAM_BOT_TOKEN}}/sendMessage`,
  body: {
    chat_id: '{{$env.TELEGRAM_CHAT_ID}}',
    text: `⚠️ Fiverr workflow failed: ${error.message}\nOrder: ${$input.first().json.orderId}`
  }
});

return { json: { handled: true } };

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Complete Workflow JSON

Copy this entire JSON into n8n:

{
  "name": "Fiverr Complete Automation",
  "nodes": [
    {
      "parameters": {
        "path": "fiverr-order",
        "responseMode": "onReceived"
      },
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [250, 300]
    },
    {
      "parameters": {
        "jsCode": "// Extract clean data from Fiverr webhook\nconst order = $input.first().json.body;\n\nreturn {\n  json: {\n    orderId: order.order_id,\n    buyerName: order.buyer.username,\n    requirements: order.requirements?.[0]?.answer || \"\",\n    gigTitle: order.gig.title,\n    deliveryDays: order.duration,\n    price: order.amount,\n    deadline: new Date(order.deadline).toISOString()\n  }\n};"
      },
      "name": "Parse Order",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [450, 300]
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "={{ $json.requirements }}",
            "type": "string",
            "operation": "isNotEmpty"
          }
        }
      },
      "name": "Valid Requirements?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [650, 300]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.scrapingbee.com/v1",
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "url",
              "value": "={{ $json.targetUrl }}"
            },
            {
              "name": "render_js",
              "value": "true"
            },
            {
              "name": "api_key",
              "value": "={{ $env.SCRAPINGBEE_API_KEY }}"
            }
          ]
        }
      },
      "name": "Scrape Data",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.1,
      "position": [850, 300]
    },
    {
      "parameters": {
        "jsCode": "const cheerio = require('cheerio');\nconst html = $input.first().json.data;\nconst $ = cheerio.load(html);\n\nconst results = [];\n$('.product-item').each((i, el) => {\n  results.push({\n    name: $(el).find('.title').text().trim(),\n    price: $(el).find('.price').text().trim(),\n    link: $(el).find('a').attr('href')\n  });\n});\n\nreturn { json: { data: results, count: results.length } };"
      },
      "name": "Parse HTML",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [1050, 300]
    },
    {
      "parameters": {
        "options": {
          "systemMessage": "You are a data formatting assistant. Clean the following scraped data, remove duplicates, standardize prices, and return as JSON array."
        },
        "prompt": "={{ JSON.stringify($json.data) }}"
      },
      "name": "AI Format",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [1250, 300]
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "leftValue": "={{ $json.count }}",
            "type": "number",
            "operation": "gt",
            "rightValue": "10"
          }
        }
      },
      "name": "Quality Check",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [1450, 300]
    },
    {
      "parameters": {
        "jsCode": "const XLSX = require('xlsx');\nconst data = $input.first().json.data;\n\nconst ws = XLSX.utils.json_to_sheet(data);\nconst wb = XLSX.utils.book_new();\nXLSX.utils.book_append_sheet(wb, ws, \"Results\");\n\nconst buffer = XLSX.write(wb, { type: 'buffer', bookType: 'xlsx' });\nconst base64 = buffer.toString('base64');\n\nreturn {\n  json: {\n    fileName: `results-${$input.first().json.orderId}.xlsx`,\n    fileData: base64,\n    fileSize: buffer.length\n  }\n};"
      },
      "name": "Generate Excel",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [1650, 300]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://www.fiverr.com/api/v1/orders/{{ $json.orderId }}/messages",
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "message",
              "value": "Hi! I've completed your order. Here's your data file. Let me know if you need any adjustments!"
            },
            {
              "name": "attachment",
              "value": "={{ $json.fileData }}"
            }
          ]
        }
      },
      "name": "Send to Fiverr",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.1,
      "position": [1850, 300]
    },
    {
      "parameters": {
        "jsCode": "// Error handler\nconst error = $input.first().json.error;\nawait $httpRequest({\n  method: 'POST',\n  url: `https://api.telegram.org/bot{{$env.TELEGRAM_BOT_TOKEN}}/sendMessage`,\n  body: {\n    chat_id: '{{$env.TELEGRAM_CHAT_ID}}',\n    text: `⚠️ Fiverr workflow failed: ${error.message}`\n  }\n});\nreturn { json: { handled: true } };"
      },
      "name": "Error Handler",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [650, 500]
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Parse Order",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Order": {
      "main": [
        [
          {
            "node": "Valid Requirements?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Valid Requirements?": {
      "main": [
        [
          {
            "node": "Scrape Data",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Error Handler",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Scrape Data": {
      "main": [
        [
          {
            "node": "Parse HTML",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse HTML": {
      "main": [
        [
          {
            "node": "AI Format",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Format": {
      "main": [
        [
          {
            "node": "Quality Check",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Quality Check": {
      "main": [
        [
          {
            "node": "Generate Excel",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Excel": {
      "main": [
        [
          {
            "node": "Send to Fiverr",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

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Environment Variables You Need

Add these to n8n Settings → Credentials:

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Error Handling That Saves You

What happens when:

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Rate Limiting (Critical)

Fiverr limits:
- 20 messages/hour to new buyers
- 100 messages/hour total
- Violation = 24-hour ban

Our solution:

// Add to "Send to Fiverr" node
const rateLimit = await $httpRequest({
  method: 'GET',
  url: 'https://your-redis.com/ratelimit/fiverr-messages'
});

if (rateLimit.count > 15) {
  // Queue for later
  await $httpRequest({
    method: 'POST',
    url: 'https://your-queue.com/delay',
    body: { delay: '1 hour', message: $json }
  });
  return { json: { queued: true } };
}

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Results After 30 Days

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Next Steps

1. Copy the JSON above into n8n (Workflow → Import)
2. Set up credentials (ScrapingBee, OpenAI, Telegram)
3. Test with sample order (use n8n's "Execute Workflow")
4. Connect Fiverr webhook (Settings → API → Webhooks)
5. Monitor for 48 hours before going live

Questions? Drop them in the comments — I answer every one.

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Related:
- [Part 1: I Automated My Fiverr Gig Delivery — Here's the n8n Workflow](https://codehustle.tech/posts/automated-fiverr-gig-n8n-2026/)
- [Why I Stopped Using Zapier (And What I Use Instead)](https://codehustle.tech/posts/why-i-stopped-using-zapier/)
- [3 Easy n8n Bots You Can Build Today](https://codehustle.tech/posts/easy-n8n-bots-tutorial/)

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