1import { ApifyClient } from 'apify-client';
2
3
4
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9
10const input = {
11 "productUrl": "https://aislopcanvas.com",
12 "productName": "AI Slop Canvas",
13 "tagline": "Chain AI image and video models together visually",
14 "shortDesc": "Visual AI workflow editor for image and video generation. Right-click any web image, send to canvas, and chain AI models together. Privacy-first, runs in your browser with your own Fal.ai API key.",
15 "email": "support@aislopcanvas.com",
16 "logoSquare": "https://aislopcanvas.s3.us-east-1.amazonaws.com/icon_squareclean_400x400.png",
17 "screenshot1": "https://aislopcanvas.s3.us-east-1.amazonaws.com/promo_image1.png",
18 "ogImage": "https://aislopcanvas.s3.us-east-1.amazonaws.com/slop_canvas_ogimage_1200x630.jpeg",
19 "socialLinks": {
20 "twitter": "https://twitter.com/aislopcanvas",
21 "github": ""
22 },
23 "userInfo": {
24 "name": "",
25 "businessName": "",
26 "about": ""
27 },
28 "targetSite": "https://directorylaunchhub.com/submit-product"
29};
30
31
32const run = await client.actor("prodmarkllc/product-directory-submitter").call(input);
33
34
35console.log('Results from dataset');
36console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
37const { items } = await client.dataset(run.defaultDatasetId).listItems();
38items.forEach((item) => {
39 console.dir(item);
40});
41
42
