Building an Automated Data Extraction Pipeline with the API

Building an Automated Data Extraction Pipeline with the API

The DataVizForge API lets you programmatically extract data and generate charts. Here's how to build a simple pipeline.

Getting Your API Key

Register an account and visit your Account page to find your personal API key. Subscribers get unlimited API calls.

Basic API Usage

import requests

url = "https://datavizforge.com/api/extract"
headers = {"Authorization": "Bearer YOUR_API_KEY"}
data = {"url": "https://example.com/data-page"}

response = requests.post(url, json=data, headers=headers)
result = response.json()
print(result["tables"])

Building a Pipeline

1. Collect URLs — Gather target URLs from a CSV file or database
2. Extract Data — Loop through URLs, call the API for each
3. Process Results — Clean and transform the extracted data
4. Generate Charts — Use the chart API to create visualizations
5. Export — Download or save chart images programmatically

Rate Limiting

Free accounts have usage limits. Subscribe for unlimited API access.

See the full API documentation for all endpoints and examples.