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-profile-tweetsAvant 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.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Scraping Twitter Profile Tweets
Raw data collection. No assumed use case — returns the full dataset for downstream analysis.
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | Twitter profile URLs (x.com or twitter.com formats) |
twitterHandles | array | Optional | [] | Twitter usernames (without @) |
start | string | Optional | — | Tweets after this date (YYYY-MM-DD or YYYY-MM-DDHH:MM:SSUTC) |
end | string | Optional | — | Tweets before this date (YYYY-MM-DD or YYYY-MM-DDHH:MM:SSUTC) |
includeNativeRetweets | boolean | Optional | false | Include native retweets in results |
onlyImages | boolean | Optional | false | Only tweets containing images |
getReplies | boolean | Optional | false | Include tweet replies |
minReplyCount | number | Optional | — | Minimum reply count threshold |
getAboutData | boolean | Optional | false | Fetch full profile about data |
maxItems | number | Optional | Unlimited | Maximum tweets to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
How to Run
Using run_actor.js (recommended)
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["elonmusk"], "maxItems": 100}'
# Save as CSV
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["elonmusk"], "maxItems": 100}' --output results.csv --format csv
# Save as JSON
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["elonmusk"], "maxItems": 100}' --output results.json --format jsonREST API fallback
curl -X POST "https://api.apify.com/v2/acts/apidojo~twitter-profile-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"twitterHandles": ["elonmusk"], "maxItems": 100}'If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~twitter-profile-scraper and the input above.
Output Fields
| Field | Type | Description |
|---|---|---|
type | string | Always tweet |
id | string | Tweet ID |
url | string | Tweet URL (x.com) |
twitterUrl | string | Tweet URL (twitter.com) |
text | string | Tweet text content |
retweetCount | number | Retweet count |
replyCount | number | Reply count |
likeCount | number | Like count |
quoteCount | number | Quote tweet count |
bookmarkCount | number | Bookmark count |
createdAt | string | Creation timestamp |
lang | string | Detected language |
isReply | boolean | Whether this is a reply |
isRetweet | boolean | Whether this is a retweet |
isQuote | boolean | Whether this is a quote tweet |
source | string | Twitter client used |
author.userName | string | Author @username |
author.name | string | Author display name |
author.isVerified | boolean | Legacy verification |
author.isBlueVerified | boolean | Twitter Blue verification |
author.profilePicture | string | Author profile picture URL |
author.followers | number | Author follower count |
Edge Cases
- Private account: Returns 0 tweets. Tell user the account is private.
- Account suspended: Returns error. Handle may be banned.
- Very active account: Use maxItems to cap and control cost ($0.0004 per extra tweet).
- Date range: Minimum 50 results needed for the query to run. If few tweets in range, widen date range.
- Retweets in results: Actor returns all public tweets including retweets.


