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HubSpot

HubSpot to JSON & Excel (XLSX) Converter

Auto-flatten HubSpot CRM contacts, deals, and custom properties into clean Excel tables or formatted JSON.

  • 100% in your browser — nothing uploaded
  • No sign-up, no email
  • Handles 100 MB+ files
  • Open source
raw_data.json
Input: Nested JSON
{
  "orders": [
    {
      "id": "ORD-001",
      "customer": {
        "name": "Alex Chen",
        "email": "[email protected]"
      },
      "items": ["Laptop", "Mouse"],
      "total": 1299.99
    },
    {
      "id": "ORD-002",
      "customer": {
        "name": "Sarah Jones",
        "email": "[email protected]"
      },
      "items": ["Monitor"],
      "total": 349.50
    }
  ]
}
Flattening Nested Objects...
Output: Clean Table
4 Columns Found
IDCustomer NameItemsTotal
ORD-001Alex ChenLaptop, Mouse$1,299.99
ORD-002Sarah JonesMonitor$349.50
Done (0.02s)
No Data Upload
GDPR/HIPAA Compliant
Instant Processing
Free to Use
10,000+
Files Converted
500+
Business Analysts
100%
Private & Secure
1

Trusted by Ops Professionals

Join thousands of ops, support, and admin professionals who trust JsonExport for secure, fast JSON to Excel conversions

Saves 3 hours weekly

“I used to spend 3+ hours every week converting HubSpot JSON exports to Excel for my manager. JsonExport cut that down to 5 minutes. The auto-unescape feature handles our double-encoded data flawlessly.”

SK

Sarah K.

RevOps Manager at Fortune 500 Retail Company

HIPAA compliant

“Privacy was my #1 concern. Other tools required uploading patient data to their servers. JsonExport processes everything client-side, which means we're HIPAA compliant. Absolute game-changer for our team.”

MR

Michael R.

Salesforce Admin at Healthcare Analytics (2,500+ employees)

Auto-unescape magic

“Google Analytics JSON exports used to be a hassle to convert. Other tools either crash or require uploads to their servers. JsonExport's auto-unescape handles our double-encoded data flawlessly. Plus it's completely free!”

JT

Jennifer T.

Marketing Ops Manager at SaaS Startup

No coding required

“Converting Shopify order JSONs with nested line items used to be a nightmare. JsonExport's nested view makes it easy to see relationships, then export to flat Excel for reporting. No Python skills needed.”

DL

David L.

E-commerce Operations Lead at Mid-size Retail (500+ stores)

30 min → 2 min

“We pull Stripe transaction data daily. The timestamp conversion and metadata flattening features save me from writing custom scripts. What used to take 30 minutes now takes 2.”

RM

Rachel M.

Financial Administrator at Fintech Company

Frequently Asked Questions

Everything you need to know about converting JSON to Excel

Absolutely safe! JsonExport processes everything in your browser using JavaScript. Your data never leaves your computer - no uploads, no servers, 100% private.

Quick Answer

To fix nested HubSpot data in Excel or convert HubSpot exports to clean JSON, paste your data below. We automatically unpack deeply nested CRM properties into clean columns, processing everything 100% locally in your browser.

Why use HubSpot to JSON & Excel (XLSX) Converter?

HubSpot data exports and API payloads often contain complex, deeply nested JSON properties. Traditional online converters just output `[object Object]` for these fields. JsonExport solves this by thoroughly flattening your HubSpot data 100% in your browser.

Native Support

Specifically tuned to handle the quirks and nested structures of HubSpot JSON data.

Fixes `[object Object]` columns instantly
Smart Flattening for complex nested CRM properties
100% Client-Side Processing (GDPR & Enterprise Safe)
Perfect for analyzing HubSpot API dumps and webhooks
HubSpotLive Transformation Architecture

How JsonExport Flattens HubSpot Data

Trello Board Export with cards, lists, checklists, custom fields, and power-up plugins. Nested objects and complex arrays are unpacked into clean spreadsheet columns automatically.

Before: Raw HubSpot Nested JSON
{
  "id": "64f1a2b3c4d5e6f7a8b9c0d1",
  "name": "Product Sprint 2026",
  "desc": "Q3 Engineering & Design Sprint",
  "closed": false,
  "lists": [
    {
      "id": "list_01",
      "name": "In Progress",
      "closed": false,
      "pos": 1
    },
    {
      "id": "list_02",
      "name": "Ready for QA",
      "closed": false,
      "pos": 2
    },
    {
      "id": "list_03",
      "name": "Done",
      "closed": false,
      "pos": 3
    }
  ],
  "customFields": [
    {
      "id": "cf_tier",
      "name": "Client Tier",
      "type": "list",
      "options": [
        {
          "id": "opt_ent",
          "value": {
            "text": "Enterprise"
          }
        },
        {
          "id": "opt_std",
          "value": {
            "text": "Standard"
          }
        }
      ]
    }
  ],
  "cards": [
    {
      "id": "card_101",
      "name": "Implement D1 SQLite Telemetry Worker",
      "desc": "Zero-cost telemetry endpoint for conversion stats",
      "idList": "list_01",
      "listName": "In Progress",
      "due": "2026-08-30T17:00:00.000Z",
      "dueComplete": false,
      "labels": [
        {
          "id": "lbl_1",
          "name": "Backend",
          "color": "blue"
        },
        {
          "id": "lbl_2",
          "name": "Priority",
          "color": "red"
        }
      ],
      "checklists": [
        {
          "id": "chk_1",
          "name": "Tasks",
          "checkItems": [
            {
              "id": "item_1",
              "name": "Create schema.sql",
              "state": "complete"
            },
            {
              "id": "item_2",
              "name": "Wrangler binding",
              "state": "complete"
            },
            {
              "id": "item_3",
              "name": "CLI pull script",
              "state": "incomplete"
            }
          ]
        }
      ],
      "members": [
        {
          "id": "mem_1",
          "fullName": "Alex Developer",
          "username": "alexdev"
        }
      ],
      "customFieldItems": [
        {
          "idCustomField": "cf_tier",
          "idValue": "opt_ent"
        }
      ],
      "pluginData": [
        {
          "id": "pd_01",
          "idPlugin": "github_sync",
          "scope": "card",
          "value": "{\"prNumber\":42,\"branch\":\"feature/telemetry\"}"
        }
      ]
    },
    {
      "id": "card_102",
      "name": "Design Platform Visual Transform Assets",
      "desc": "Authentic before/after SVG graphics for all converters",
      "idList": "list_02",
      "listName": "Ready for QA",
      "due": "2026-08-29T12:00:00.000Z",
      "dueComplete": true,
      "labels": [
        {
          "id": "lbl_3",
          "name": "Design",
          "color": "purple"
        }
      ],
      "checklists": [],
      "members": [
        {
          "id": "mem_2",
          "fullName": "Jordan UI",
          "username": "jordan_ui"
        }
      ]
    }
  ]
}
After: Flattened Excel (.xlsx) Columns
Clean Dot-Notation Columns
assignedMembersattachments.countboardNamechecklistItemschecklistProgresschecklistsSummary
Alex Developer0Product Sprint 2026[x] Create schema.sql [x] Wrangler binding [ ] CLI pull script2/3Tasks (2/3)
Jordan UI0Product Sprint 2026
Zero [object Object] errors

Specific Questions

How do I convert HubSpot to JSON or Excel?

You can fetch your CRM objects using HubSpot's REST API (`/crm/v3/objects/contacts` or `/deals`) or download API payloads from HubSpot workflow webhooks. Paste the raw data here for instant 1-click conversion to clean Excel or formatted JSON.

How do I export JSON from HubSpot?

Query the HubSpot v3 API endpoint or download your workflow webhook execution logs. Then paste the payload into JsonExport to inspect, clean, or transform into Excel spreadsheets.

Is it safe to paste HubSpot customer lists here?

Yes, absolutely. Unlike other converters, we do NOT upload your file to any server. All processing happens locally in your browser's Web Worker memory.

How does it handle nested properties?

Our Smart Flattener automatically detects and flattens nested objects so that data like `properties.company_name` becomes a dedicated Excel column rather than a broken cell.

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Guides and sample files

Worked examples and realistic test payloads for this workflow.