indexx.dev
forked from
j4ck.xyz/tweets2bsky
A simple tool which lets you scrape twitter accounts and crosspost them to bluesky accounts! Comes with a CLI and a webapp for managing profiles! Works with images/videos/link embeds/threads.
fix: robust t.co link expansion fallback for link cards
+10
-1
src/index.ts
+10
-1
src/index.ts
···
833
833
if (tco && expanded) text = text.replace(tco, expanded);
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}
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+
// Fallback: Regex for t.co links (if entities failed or missed one)
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const tcoRegex = /https:\/\/t\.co\/[a-zA-Z0-9]+/g;
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const matches = text.match(tcoRegex) || [];
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for (const tco of matches) {
840
+
// Avoid re-resolving if we already handled it via entities
841
+
if (urls.some(u => u.url === tco)) continue;
842
+
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+
console.log(`[${twitterUsername}] 🔍 Resolving fallback link: ${tco}`);
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const resolved = await expandUrl(tco);
840
-
if (resolved !== tco) text = text.replace(tco, resolved);
845
+
if (resolved !== tco) {
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+
text = text.replace(tco, resolved);
847
+
// Add to urls array so it can be used for card embedding later
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+
urls.push({ url: tco, expanded_url: resolved });
849
+
}
841
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}
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// 2. Media Handling
-63
src/test-link.ts
-63
src/test-link.ts
···
1
-
import 'dotenv/config';
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import { TwitterClient } from '@steipete/bird/dist/lib/twitter-client.js';
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-
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// Provided credentials
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const AUTH_TOKEN = '30f5905989c9984bef1ca849910db8c84ae31c04';
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const CT0 = '012bae351eeebe4a19df0a21c73d5705d887246beee09c96da2a5a6935495688d3479b8e3fa963433a43b3b37675c16f4a192d018dd388108a6d6aa3ed3d9ba3233238bc71830583a1613ec042d3ba55';
7
-
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async function main() {
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console.log('🧪 Starting Link Extraction Test...');
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-
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const client = new TwitterClient({
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cookies: {
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authToken: AUTH_TOKEN,
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ct0: CT0,
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},
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});
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-
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const username = 'NVIDIANetworkng';
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// Searching for the specific tweet ID: 2003547578848206861
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// Note: search usually doesn't find by ID directly unless we use specific operators or search from user
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// Let's try searching from user and look for the ID.
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-
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console.log(`🔍 Fetching tweets for @${username}...`);
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-
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try {
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const result = (await client.search(`from:${username}`, 20)) as any;
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-
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if (!result.success || !result.tweets) {
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console.error('❌ Failed to fetch tweets:', result.error);
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return;
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}
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-
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const targetId = '2003547578848206861';
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const targetTweet = result.tweets.find((t: any) => (t.id_str || t.id) === targetId);
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-
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if (targetTweet) {
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console.log('✅ Found target tweet!');
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console.log('--- RAW TWEET OBJECT ---');
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console.log(JSON.stringify(targetTweet, null, 2));
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console.log('------------------------');
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-
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console.log('--- Entities ---');
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console.log(JSON.stringify(targetTweet.entities, null, 2));
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-
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if (targetTweet.card) {
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console.log('--- Card Data (Bird internal?) ---');
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console.log(JSON.stringify(targetTweet.card, null, 2));
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}
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} else {
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console.log(`❌ Target tweet ${targetId} not found in last 20 results.`);
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// Just print the first one to see structure anyway
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if (result.tweets.length > 0) {
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console.log('Printing first tweet for structure analysis:');
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console.log(JSON.stringify(result.tweets[0], null, 2));
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}
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}
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-
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} catch (err) {
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console.error('❌ Error:', err);
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}
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}
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main();