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Excel Spreadsheet To Json Conversion

Under maintenance

Try for free

Automation workflows need to turn recurring Excel spreadsheets into predictable JSON without silently accepting malformed dates, numbers, headers, or required fields. Basic converters produce rows but often do not enforce a data contract or clearly quarantine invalid records.

Pricing

from $3.00 / 1,000 result returneds

Rating

0.0

(0)

Developer

Jordan Nabbe

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Automation

Developer tools

Business

You can access the Excel Spreadsheet To Json Conversion programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "documents": [{
10            "id": "orders-september",
11            "source": "base64",
12            "fileName": "orders-september.xlsx",
13            "base64": "UEsDBBQAAAAIAO+sO11DcEUeFAEAAC8DAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbK1SS08CMRD+K02vhBY8GGNYOPg4qon4A8Z2lm3oK50B4d9bFjTGoFz2NGm/ZyYzW+yCF1ss5FJs5FRNpMBoknVx1ci35eP4RgpiiBZ8itjIPZJczGfLfUYSVRupkR1zvtWaTIcBSKWMsSJtKgG4PstKZzBrWKG+mkyutUmRMfKYDx5yPrvHFjaexcOufh97FPQkxd2ReMhqJOTsnQGuuN5G+ytlfEpQVdlzqHOZRpUg9dmEA/J3wEn3XBdTnEXxAoWfIFSW3nn9kcr6PaW1+t/kTMvUts6gTWYTqkRRLgiWOkQOXvVTBXBxdDm/J5Pux3TgIt/+F3oQ7z3S0FvoTS8ld1DQvnKpZzp4gZ/eXz10f/DzT1BLAwQUAAAACADvrDtdmNrri64AAAAnAQAACwAAAF9yZWxzLy5yZWxzjc/BDoIwDAbgV1l6l4EHYwyDizHhavAB5lYGAdZlmwpv745iPHhs+vf707Je5ok90YeBrIAiy4GhVaQHawTc2svuCCxEabWcyKKAFQPUVXnFScZ0EvrBBZYMGwT0MboT50H1OMuQkUObNh35WcY0esOdVKM0yPd5fuD+04CtyRotwDe6ANauDv+xqesGhWdSjxlt/FHxlUiy9AajgGXiL/LjnWjMEgq8KvnmweoNUEsDBBQAAAAIAO+sO12pNLMUvAAAABsBAAAPAAAAeGwvd29ya2Jvb2sueG1sjY/LbsJADEV/ZeR9mcACoSgJm6oSKzblA6YZh4zI2JE9FPh7XB77rvzSvb6n2V7z5H5RNDG1sFxU4JB6jomOLRy+vz424LQEimFiwhZuqLDtmgvL6Yf55ExO2sJYylx7r/2IOeiCZyS7DCw5FBvl6HUWDFFHxJInv6qqtc8hETwdavmPBw9D6vGT+3NGKk8TwSkUC69jmhW65vFBX9VRyBZ6L9EIDeRvt4vGCU7qZI3s4hJ81/i3zL/JujtQSwMEFAAAAAgA76w7XYFikqLWAAAANAIAABoAAAB4bC9fcmVscy93b3JrYm9vay54bWwucmVsc62Rz2rDMAyHX8XovjjpYIxRt5cx6LV/HkDYShya2MbS2uXtazZWUihjh56EZPT9Pqzl+msc1Iky9zEYaKoaFAUbXR86A4f9x9MrKBYMDocYyMBEDOvVcksDSllh3ydWhRHYgBdJb1qz9TQiVzFRKC9tzCNKaXOnE9ojdqQXdf2i85wBt0y1cQbyxjWg9lOi/7Bj2/aW3qP9HCnInQh9jvnInkgKFHNHYuA6Yv1dmqpQQd+XWTxShmUayl9eTX76v+KfHxrvMZPbSS6HnlvMx78y+ubaqwtQSwMEFAAAAAgA76w7XahIIpgqAQAAhQIAAA0AAAB4bC9zdHlsZXMueG1snZLBbsMgDIZfBXFfaaJtmqYkPVSKtMsu7aRdaeKkkcAgoFWzp58JaZeepu2Ebf7/wwaKzUUrdgbnB4Mlz1ZrzgAb0w7Yl/xjXz+8cOaDxFYqg1DyETzfVIUPo4LdESAwAqAv+TEE+yqEb46gpV8ZC0g7nXFaBkpdL7x1IFsfTVqJfL1+FloOyKuiMxg8a8wJA/UwF+iQL3aWiioZF1WBUkPKt1INBzfEokjKafHkG5S6gXKeClVhZQjgsKaEzfF+tDQN0kwJM+l+UfdOjln+tDBMC517MK6lO1yOkEpROm9WRQNK7eLFfXZ30kvH8KRrHd7aktMDxGGuIfHnMGFSErFLWmIvsPm/sOzS3fh37uzxT3YmrVXj+0kfwNXTD4iDXpue+hU/P6j6BlBLAwQUAAAACADvrDtd/cYjKzsBAAA0BAAAFAAAAHhsL3NoYXJlZFN0cmluZ3MueG1slZPBTsMwEER/xfKBUxo7aQttSVLRVkggJCQoPXCzkqWxGtvB67Tw9xgOiBvbm+194xmN5WL5YTp2BI/a2ZJnqeQMbO0abfclf9nejmacYVC2UZ2zUPJPQL6sCsTAotJiydsQ+oUQWLdgFKauBxsnb84bFeLW7wX2HlSDLUAwncilvBRGactZ7QYbSp5H08Hq9wHWvwfRQlfFj8kCe1VH63gLgj8Crx59A57dbQoRqkJ8g//CGxWAhK8HDM6AJ8E35jswDR1lUmYkdOXdcIqZV+kuJQmyNJ/KREp6kJyE3iuLYNkW6tZqOJA0s3kyn9KDjEnoBtjOa0B2oUx/zV4trZY8ncxkMj2jlwkJHezBuhMtxLPRgT24vcagayRJxtl5j0mre6cxrtgTBKU7kiJP5dU0mfxJIuK/r74AUEsDBBQAAAAIAO+sO10hMruRJQEAAMcDAAAYAAAAeGwvd29ya3NoZWV0cy9zaGVldDEueG1sdZNRboQgFEW3YvjvoKjMTKNOWk1X0C6AKB1NFQwQp9196bQhjxf7B5x3wwk3VJfPZU42aeykVU2yQ0oSqXo9TOpak7fXl4cTSawTahCzVrImX9KSS1PdtPmwo5Qu8XllazI6tz5SavtRLsIe9CqVJ+/aLML5rblSuxophntomSlLU04XMSnSVPezTjjRVEbfEuM9/Gn/s3jKSOJqYv1+a9KKbk1F+z/2DFkWsxYyFrMOsjww6u8OAiwIMDBcIAHP7K+sZ5xxjiRgtkQSkPF9iTxI5GD4iCRyJHFCEjCLWAfZeV+iCBIFfG7cRYEszsgiCqOyugiyfY8yeJRwOkceEUR9tRHEhUTwn0Z4kOBwGlfC48c4Isk2CuNOIohLoeCv0PAJm29QSwECFAAUAAAACADvrDtdQ3BFHhQBAAAvAwAAEwAAAAAAAAAAAAAAgAEAAAAAW0NvbnRlbnRfVHlwZXNdLnhtbFBLAQIUABQAAAAIAO+sO12Y2uuLrgAAACcBAAALAAAAAAAAAAAAAACAAUUBAABfcmVscy8ucmVsc1BLAQIUABQAAAAIAO+sO12pNLMUvAAAABsBAAAPAAAAAAAAAAAAAACAARwCAAB4bC93b3JrYm9vay54bWxQSwECFAAUAAAACADvrDtdgWKSotYAAAA0AgAAGgAAAAAAAAAAAAAAgAEFAwAAeGwvX3JlbHMvd29ya2Jvb2sueG1sLnJlbHNQSwECFAAUAAAACADvrDtdqEgimCoBAACFAgAADQAAAAAAAAAAAAAAgAETBAAAeGwvc3R5bGVzLnhtbFBLAQIUABQAAAAIAO+sO139xiMrOwEAADQEAAAUAAAAAAAAAAAAAACAAWgFAAB4bC9zaGFyZWRTdHJpbmdzLnhtbFBLAQIUABQAAAAIAO+sO10hMruRJQEAAMcDAAAYAAAAAAAAAAAAAACAAdUGAAB4bC93b3Jrc2hlZXRzL3NoZWV0MS54bWxQSwUGAAAAAAcABwDCAQAAMAgAAAAA",
14        }],
15    "rowSchema": {
16        "type": "object",
17        "additionalProperties": False,
18        "required": [
19            "orderId",
20            "orderDate",
21            "amount",
22        ],
23        "properties": {
24            "orderId": {
25                "type": "string",
26                "minLength": 1,
27            },
28            "orderDate": {
29                "type": "string",
30                "format": "date",
31            },
32            "customer": { "type": "string" },
33            "amount": {
34                "type": "number",
35                "minimum": 0,
36            },
37        },
38    },
39    "headerAliases": {
40        "orderId": [
41            "Order ID",
42            "Order Number",
43        ],
44        "orderDate": [
45            "Order Date",
46            "Date",
47        ],
48        "amount": [
49            "Amount",
50            "Total",
51        ],
52    },
53    "coercionMode": "strict",
54    "dateOutput": "isoDate",
55    "emptyCellMode": "omit",
56}
57
58# Run the Actor and wait for it to finish
59run = client.actor("first_watch/excel-spreadsheet-to-json-conversion").call(run_input=run_input)
60
61# Fetch and print Actor results from the run's dataset (if there are any)
62print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
63for item in client.dataset(run.default_dataset_id).iterate_items():
64    print(item)
65
66# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Excel Spreadsheet To Json Conversion API in Python

The Apify API client for Python is the official library that allows you to use Excel Spreadsheet To Json Conversion API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Excel Spreadsheet To Json Conversion API in JavaScript

Excel Spreadsheet To Json Conversion API through CLI

Excel Spreadsheet To Json Conversion OpenAPI definition

Excel Spreadsheet To Json Conversion API

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5.0

(1)

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Rows of any Excel (XLSX) or CSV file by URL, up to 200 files a run and 5,000 rows each: one JSON object per row keyed by the header row, with sheet name, row number and counts, from every sheet or one you name. Dates as ISO, numbers as numbers, formulas as cached values. Pay per row.