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
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with API token
const client = new ApifyClient({
token: '<YOUR_API_TOKEN>',
});
// Prepare Actor input
const input = {
"maxRequestsPerCrawl": 20,
"extendOutputFunction": async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {
return item;
},
"extendScraperFunction": async ({ fns, customData, Apify, label }) => {
},
"customData": {},
"maxConcurrency": 20,
"maxRequestRetries": 3
};
(async () => {
// Run the Actor and wait for it to finish
const run = await client.actor("mshopik/knockaround-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
})();
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Maintained by Community
Actor stats
- 2 users
- 743 runs
- Modified over 1 year ago
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