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Harvest

Harvest to Excel (XLSX) Converter

Unwind Harvest time entries and project logs into clean Excel spreadsheets instantly.

  • 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 Harvest to Excel (XLSX) Converter?

Harvest time tracking exports include nested project assignments, client data, and billing details. Our converter flattens this into clean rows for easy pivot table analysis.

Native Support

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

Flatten time entries with project context
Preserve client and task relationships
Convert timestamps to Excel-compatible dates
100% client-side processing
HarvestLive Transformation Architecture

How JsonExport Flattens Harvest 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 Harvest 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 export Harvest time entries to JSON?

Use the Harvest Time Entries API (`https://api.harvestapp.com/v2/time_entries`) with your personal access token. Paste the JSON response here to generate an immediate formatted Excel spreadsheet.

Can I export Harvest timesheets to Excel?

Yes. Paste your raw Harvest JSON entries into the converter above to download a clean .xlsx spreadsheet with separate columns for project, client, and rates.

Does this handle billable vs non-billable hours?

Yes. The billable flag, hourly billable rates, and cost rates are preserved as separate columns in the output.

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Guides and sample files

Worked examples and realistic test payloads for this workflow.