You can access the Omicsdi Datasets Scraper 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "query": "cancer",
12    "maxResults": 3
13};
14
15// Run the Actor and wait for it to finish
16const run = await client.actor("benthepythondev/omicsdi-datasets-scraper").call(input);
17
18// Fetch and print Actor results from the run's dataset (if any)
19console.log('Results from dataset');
20console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
21const { items } = await client.dataset(run.defaultDatasetId).listItems();
22items.forEach((item) => {
23    console.dir(item);
24});
25
26// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Omicsdi Datasets Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Omicsdi Datasets Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Omicsdi Datasets Scraper API in Python

Omicsdi Datasets Scraper API through CLI

Omicsdi Datasets Scraper OpenAPI definition

Omicsdi Datasets Scraper API

UK ONS Datasets Scraper

benthepythondev/uk-ons-datasets-scraper

Collect UK Office for National Statistics records and export id, latest version id, name, title, methodologies title, related datasets title as structured JSON, CSV or Excel data.