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chore: import upstream snapshot with attribution
2026-07-13 12:39:48 +08:00

134 lines
5.4 KiB
JavaScript

/**
* LinkedIn Learning personalized recommendations via the
* feedRecommendationGroups carousels endpoint. The `learner` view
* returns a small set of carousels (e.g. "Top picks for you"); this
* command flattens the cards across them into a ranked list.
*/
import { cli, Strategy } from '@jackwener/opencli/registry';
import { ArgumentError, AuthRequiredError, CommandExecutionError, EmptyResultError } from '@jackwener/opencli/errors';
const DOMAIN = 'www.linkedin.com';
const MAX_LIMIT = 50;
const MAX_PER_CAROUSEL = 25;
function parseLimit(value) {
if (value === undefined || value === null || value === '') return 10;
const limit = Number(value);
if (!Number.isInteger(limit) || limit < 1 || limit > MAX_LIMIT) {
throw new ArgumentError(`--limit must be an integer between 1 and ${MAX_LIMIT}`);
}
return limit;
}
function unwrapEvaluateResult(payload) {
if (payload && typeof payload === 'object' && 'data' in payload && 'session' in payload) return payload.data;
return payload;
}
function buildFetchScript(url, csrf) {
return String.raw`(async () => {
try {
const res = await fetch(${JSON.stringify(url)}, {
credentials: 'include',
headers: {
'csrf-token': ${JSON.stringify(csrf)},
'x-restli-protocol-version': '2.0.0',
accept: 'application/json',
},
});
if (res.status === 401 || res.status === 403) return { authRequired: true, status: res.status };
if (!res.ok) return { error: 'HTTP ' + res.status };
return { json: await res.json() };
} catch (e) {
return { error: 'fetch failed: ' + ((e && e.message) || String(e)) };
}
})()`;
}
function parseCard(card, group, rank) {
const slug = card?.slug || '';
if (!slug) return null;
return {
rank,
group: group?.title?.text || group?.annotation || '',
type: card?.entityType || card?.localizedEntityName || '',
title: card?.title?.text || card?.headline?.title?.text || card?.headline?.text || '',
difficulty: card?.difficultyLevel || '',
viewers: card?.viewerCount ?? '',
url: slug ? `https://www.linkedin.com/learning/${slug}` : '',
};
}
cli({
site: 'linkedin-learning',
name: 'trending',
access: 'read',
description: 'Browse LinkedIn Learning recommended courses across personalized carousels',
domain: DOMAIN,
strategy: Strategy.COOKIE,
browser: true,
args: [
{ name: 'limit', type: 'int', default: 10, help: `Maximum results to return (1-${MAX_LIMIT})` },
],
columns: ['rank', 'group', 'type', 'title', 'difficulty', 'viewers', 'url'],
func: async (page, args) => {
if (!page) throw new CommandExecutionError('Browser session required for linkedin-learning trending');
const limit = parseLimit(args.limit);
await page.goto('https://www.linkedin.com/learning/');
await page.wait(3);
const cookies = await page.getCookies({ url: 'https://www.linkedin.com' });
const jsession = cookies.find((c) => c.name === 'JSESSIONID')?.value;
if (!jsession) {
throw new AuthRequiredError(DOMAIN, 'LinkedIn JSESSIONID cookie not found. Please sign in to LinkedIn in the browser.');
}
const csrf = jsession.replace(/^"|"$/g, '');
const url = `https://www.linkedin.com/learning-api/feedRecommendationGroups?countPerCarousel=${MAX_PER_CAROUSEL}&q=learner`;
const result = unwrapEvaluateResult(await page.evaluate(buildFetchScript(url, csrf)));
if (result?.authRequired) {
throw new AuthRequiredError(DOMAIN, `LinkedIn Learning auth failed (HTTP ${result.status ?? ''}).`);
}
if (!result?.json) {
throw new CommandExecutionError(`LinkedIn Learning feedRecommendationGroups failed: ${result?.error ?? 'no payload'}`);
}
const groups = result.json?.elements;
if (!Array.isArray(groups)) {
throw new CommandExecutionError('LinkedIn Learning feedRecommendationGroups returned malformed payload: missing elements array');
}
const rows = [];
const seen = new Set();
let rank = 1;
let sawCards = false;
for (const group of groups) {
const carousels = Array.isArray(group?.carousels) ? group.carousels : [];
for (const carousel of carousels) {
const cards = Array.isArray(carousel?.cards) ? carousel.cards : [];
for (const card of cards) {
sawCards = true;
if (rows.length >= limit) break;
const slug = card?.slug;
if (!slug || seen.has(slug)) continue;
seen.add(slug);
const row = parseCard(card, carousel, rank);
if (!row) continue;
rows.push(row);
rank += 1;
}
if (rows.length >= limit) break;
}
if (rows.length >= limit) break;
}
if (rows.length === 0) {
if (sawCards) {
throw new CommandExecutionError('LinkedIn Learning feedRecommendationGroups returned no parseable cards with slug identity');
}
throw new EmptyResultError('LinkedIn Learning returned no personalized recommendations');
}
return rows;
},
});
export const __test__ = { parseLimit, parseCard };