Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill scraping-twitter-list-membersAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Scraping Twitter List Members
Exports all member profiles from any public Twitter/X list. Useful for curated industry lists, competitor watchlists, or pre-built audiences.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | Twitter list URLs (e.g. https://x.com/i/lists/12345) |
listIds | array | Optional | [] | Twitter list IDs |
maxItems | number | Optional | Unlimited | Maximum tweets to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Validate list URL
- [ ] Step 2: Run twitter-list-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver member datasetStep 2: Run the Actor
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
bash
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~twitter-list-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~twitter-list-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~twitter-list-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format jsonAPIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~twitter-list-scraper"
Input:
{
"listUrl": "https://twitter.com/i/lists/<LIST_ID>",
"maxItems": 500
}REST API fallback:
bash
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~twitter-list-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"listUrl": "https://twitter.com/i/lists/<LIST_ID>"}'Save id as RUN_ID. Poll until status = SUCCEEDED:
bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_TOKEN" | grep '"status"'Fetch results:
bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN&format=json"Step 3: Handle Edge Cases
- Private list: Actor returns 0 results — inform user the list is not publicly accessible.
- List deleted or moved: Validate URL returns 200 before running actor.
- Very large lists (> 5000 members): May timeout — use
maxItems: 2000and paginate.
Output Format
# Twitter List Members: <list name>
List URL: <url> | Members collected: N
| Username | Display Name | Followers | Bio (truncated) | Location | Verified |
|----------|-------------|-----------|-----------------|----------|----------|
| ... | ... | ... | ... | ... | ... |Troubleshooting
0 results: List is private or URL is malformed. Verify the list is public. Partial results: Large lists may be rate-limited — retry with smaller maxItems.
