Pricing

from $30.00 / 1,000 chart rendereds

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Dataset Charts & Report (Chart Images + PDF from Any Data)

Try for free

Turns any Apify dataset, CSV/Excel/JSON file URL or JSON array into chart images (bar, line, area, pie, scatter as PNG and SVG) and an optional PDF or HTML report with KPIs and a plain-English summary. Define charts by field names. Charged per chart and per report; agent-ready via x402 and MCP.

Pricing

from $30.00 / 1,000 chart rendereds

Rating

0.0

(0)

Developer

Adam Pearce

Actor stats

Bookmarked

Total users

Monthly active users

2 hours ago

Last modified

Categories

Developer tools

Automation

Agents

You can access the Dataset Charts & Report (Chart Images + PDF from Any Data) 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    "data": [
10        {
11            "date": "2026-01-14",
12            "region": "North",
13            "category": "Electrical",
14            "revenue": 1840,
15            "units": 12,
16        },
17        {
18            "date": "2026-01-27",
19            "region": "South",
20            "category": "Plumbing",
21            "revenue": 960,
22            "units": 7,
23        },
24        {
25            "date": "2026-02-03",
26            "region": "North",
27            "category": "Electrical",
28            "revenue": 2210,
29            "units": 15,
30        },
31        {
32            "date": "2026-02-18",
33            "region": "East",
34            "category": "Roofing",
35            "revenue": 3120,
36            "units": 4,
37        },
38        {
39            "date": "2026-02-25",
40            "region": "South",
41            "category": "Electrical",
42            "revenue": 1275,
43            "units": 9,
44        },
45        {
46            "date": "2026-03-06",
47            "region": "West",
48            "category": "Plumbing",
49            "revenue": 1430,
50            "units": 11,
51        },
52        {
53            "date": "2026-03-19",
54            "region": "North",
55            "category": "Roofing",
56            "revenue": 2890,
57            "units": 3,
58        },
59        {
60            "date": "2026-03-28",
61            "region": "East",
62            "category": "Electrical",
63            "revenue": 1990,
64            "units": 13,
65        },
66        {
67            "date": "2026-04-09",
68            "region": "West",
69            "category": "Electrical",
70            "revenue": 2450,
71            "units": 16,
72        },
73        {
74            "date": "2026-04-21",
75            "region": "South",
76            "category": "Roofing",
77            "revenue": 3560,
78            "units": 5,
79        },
80        {
81            "date": "2026-05-02",
82            "region": "North",
83            "category": "Plumbing",
84            "revenue": 1120,
85            "units": 8,
86        },
87        {
88            "date": "2026-05-17",
89            "region": "East",
90            "category": "Electrical",
91            "revenue": 2730,
92            "units": 18,
93        },
94    ],
95    "charts": [
96        {
97            "type": "bar",
98            "title": "Revenue by category",
99            "x": "category",
100            "y": "revenue",
101            "aggregate": "sum",
102        },
103        {
104            "type": "line",
105            "title": "Revenue by month",
106            "x": "date",
107            "y": "revenue",
108            "aggregate": "sum",
109            "timeUnit": "month",
110        },
111        {
112            "type": "donut",
113            "title": "Jobs by region",
114            "x": "region",
115            "aggregate": "count",
116        },
117    ],
118    "imageFormats": [
119        "png",
120        "svg",
121    ],
122    "reportTitle": "Jobs and revenue, January to May 2026",
123    "reportFormats": [
124        "pdf",
125        "html",
126    ],
127}
128
129# Run the Actor and wait for it to finish
130run = client.actor("nerolabs/dataset-charts-report").call(run_input=run_input)
131
132# Fetch and print Actor results from the run's dataset (if there are any)
133print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
134for item in client.dataset(run.default_dataset_id).iterate_items():
135    print(item)
136
137# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset Charts & Report: chart images and PDF from data API in Python

The Apify API client for Python is the official library that allows you to use Dataset Charts & Report (Chart Images + PDF from Any Data) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset Charts & Report (Chart Images + PDF from Any Data) API in JavaScript

Dataset Charts & Report (Chart Images + PDF from Any Data) API through CLI

Dataset Charts & Report (Chart Images + PDF from Any Data) OpenAPI definition

Dataset Charts & Report (Chart Images + PDF from Any Data) API

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184