Pricing

Pay per usage

Dataset Flatten and Field Mapper

Flatten nested JSON, rename and drop fields, and coerce simple types in Apify datasets without writing transformation code.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Lau Kuan Ee

Actor stats

Bookmarked

Total users

Monthly active users

9 days ago

Last modified

Categories

Developer tools

You can access the Dataset Flatten and Field Mapper 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 Integrations settings 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    "items": [
10        {
11            "person": {
12                "name": "Ada",
13                "age": "42",
14            },
15            "active": "yes",
16            "tags": [
17                "math",
18                "code",
19            ],
20        },
21        {
22            "person": {
23                "name": "Grace",
24                "age": "37",
25            },
26            "active": "true",
27            "tags": ["compiler"],
28        },
29    ],
30    "mappings": [
31        {
32            "from": "person.name",
33            "to": "name",
34        },
35        {
36            "from": "person.age",
37            "to": "age",
38        },
39        {
40            "from": "active",
41            "to": "active",
42        },
43        {
44            "from": "tags",
45            "to": "tags",
46        },
47    ],
48}
49
50# Run the Actor and wait for it to finish
51run = client.actor("eager_vitamin/apify-dataset-flatten-field-mapper").call(run_input=run_input)
52
53# Fetch and print Actor results from the run's dataset (if there are any)
54print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
55for item in client.dataset(run["defaultDatasetId"]).iterate_items():
56    print(item)
57
58# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset Flatten and Field Mapper API in Python

The Apify API client for Python is the official library that allows you to use Dataset Flatten and Field Mapper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Flatten and Field Mapper API in JavaScript

Dataset Flatten and Field Mapper API through CLI

Dataset Flatten and Field Mapper OpenAPI definition

Dataset Flatten and Field Mapper API

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