JavaScript Code to Flowchart
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JavaScript Code to Flowchart
drobnikj/js-code-2-flowchart
Try for free
No credit card required
Use this to convert JavaScript code to a flowchart. The actor uses https://www.npmjs.com/package/js2flowchart npm package to convert the code to a flowchart. The output is an SVG file.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode
Node.js
Python
curl
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4const client = new ApifyClient({
5 token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10 "code": // The function accepts a single argument: the "context" object.
11 // For a complete list of its properties and functions,
12 // see https://apify.com/apify/web-scraper#page-function
13 async function pageFunction(context) {
14 // This statement works as a breakpoint when you're trying to debug your code. Works only with Run mode: DEVELOPMENT!
15 // debugger;
16
17 // jQuery is handy for finding DOM elements and extracting data from them.
18 // To use it, make sure to enable the "Inject jQuery" option.
19 const $ = context.jQuery;
20 const pageTitle = $('title').first().text();
21
22 // Print some information to actor log
23 context.log.info(`URL: ${context.request.url}, TITLE: ${pageTitle}`);
24
25 // Manually add a new page to the queue for scraping.
26 context.enqueueRequest({ url: 'http://www.example.com' });
27
28 // Return an object with the data extracted from the page.
29 // It will be stored to the resulting dataset.
30 return {
31 url: context.request.url,
32 pageTitle
33 };
34 }
35};
36
37(async () => {
38 // Run the Actor and wait for it to finish
39 const run = await client.actor("drobnikj/js-code-2-flowchart").call(input);
40
41 // Fetch and print Actor results from the run's dataset (if any)
42 console.log('Results from dataset');
43 const { items } = await client.dataset(run.defaultDatasetId).listItems();
44 items.forEach((item) => {
45 console.dir(item);
46 });
47})();Developer
Jakub DrobníkMaintained by Community
Actor metrics
- 17 monthly users
- 81.8% runs succeeded
- 0.0 days response time
- Created in Nov 2017
- Modified 7 months ago
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