1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = {
9 "productUrl": "https://aislopcanvas.com",
10 "productName": "AI Slop Canvas",
11 "tagline": "Chain AI image and video models together visually",
12 "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.",
13 "email": "support@aislopcanvas.com",
14 "logoSquare": "https://aislopcanvas.s3.us-east-1.amazonaws.com/icon_squareclean_400x400.png",
15 "screenshot1": "https://aislopcanvas.s3.us-east-1.amazonaws.com/promo_image1.png",
16 "ogImage": "https://aislopcanvas.s3.us-east-1.amazonaws.com/slop_canvas_ogimage_1200x630.jpeg",
17 "socialLinks": {
18 "twitter": "https://twitter.com/aislopcanvas",
19 "github": "",
20 },
21 "userInfo": {
22 "name": "",
23 "businessName": "",
24 "about": "",
25 },
26 "targetSite": "https://directorylaunchhub.com/submit-product",
27}
28
29
30run = client.actor("prodmarkllc/product-directory-submitter").call(run_input=run_input)
31
32
33print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
34for item in client.dataset(run["defaultDatasetId"]).iterate_items():
35 print(item)
36
37
