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Calendly

Calendly to Excel Converter

Export Calendly bookings and event data to Excel for scheduling analysis.

  • 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.

Why use Calendly to Excel Converter?

Calendly API data includes nested event details, invitee information, and scheduling metadata. Our converter flattens this into clean rows for easy reporting and analysis.

Native Support

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

Flatten booking details with invitee info
Extract event type configurations
Handle cancellation and reschedule data
100% private — scheduling data stays local
CalendlyLive Transformation Architecture

How JsonExport Flattens Calendly 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 Calendly 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

Can I export Calendly bookings to Excel?

Yes. Use the Calendly API to export your scheduled events as JSON, then paste them here for Excel conversion.

Does this include invitee details?

Yes. Invitee names, emails, and custom question responses are extracted into their own columns.

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Worked examples and realistic test payloads for this workflow.