1import { ApifyClient } from 'apify-client';
2
3
4
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9
10const input = {
11 "mode": "urls",
12 "directUrls": [
13 "https://www.quora.com/What-is-Python-primarily-used-for"
14 ],
15 "searchQueries": [],
16 "resultTypes": [
17 "question",
18 "answer"
19 ],
20 "includeAnswers": true,
21 "maxAnswersPerQuestion": 2,
22 "includeRelatedQuestions": false,
23 "maxRelatedQuestions": 0,
24 "includeAuthorProfiles": false,
25 "maxAuthors": 20,
26 "filterAiAnswers": "include",
27 "answerSortOrder": "observed",
28 "includeMedia": false,
29 "includeOutboundLinks": false,
30 "includeAnswerHtml": false,
31 "includeProfileSensitiveFields": true,
32 "includeSocialLinks": true,
33 "maxItems": 3,
34 "maxItemsPerSource": 0,
35 "includeFieldEvidence": true,
36 "onlyUnanswered": false
37};
38
39
40const run = await client.actor("vexaloom-labs/quora-keyword-search-and-author-discovery-scraper").call(input);
41
42
43console.log('Results from dataset');
44console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
45const { items } = await client.dataset(run.defaultDatasetId).listItems();
46items.forEach((item) => {
47 console.dir(item);
48});
49
50
