apidojo-io/apidojo-skills

scraping-twitter-profiles

Scrapes Twitter/X profile data for any list of usernames using apidojo's Twitter User scraper on Apify.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/apidojo-io/apidojo-skills --skill scraping-twitter-profiles

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

Scraping Twitter Profiles

Bulk profile data export for any set of Twitter/X usernames. Returns account-level metadata: follower counts, bios, join dates, verification status.

Prerequisites

  • APIFY_TOKEN environment variable set
  • Optional: Apify MCP server installed

Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]Twitter profile or tweet URLs
twitterHandlesarrayOptional[]Twitter usernames (without @)
twitterUserIdsarrayOptional[]Twitter user IDs
getFollowersbooleanOptionalfalseExtract follower lists
getFollowingbooleanOptionalfalseExtract following lists
getRetweetersbooleanOptionalfalseExtract retweeters of a tweet URL
includeUnavailableUsersbooleanOptionalfalseInclude unavailable/suspended users
maxItemsnumberOptionalUnlimitedMaximum users to return
customMapFunctionstringOptional—JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Normalize username list
- [ ] Step 2: Run twitter-user-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver profile dataset

Step 1: Normalize

Remove @ symbols, deduplicate, validate no empty strings.

Step 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-user-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~twitter-user-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~twitter-user-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json
APIFY_TOKEN must be set in environment or .env file.

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input:
{
  "usernames": ["handle1", "handle2", "handle3"]
}

REST API fallback:

bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"usernames": ["handle1", "handle2"]}'

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

  • Missing accounts in results: Account suspended, deleted, or handle changed. Note missing handles in output.
  • Private accounts: Returns profile metadata but no tweet content — flag isPrivate: true rows.
  • Deactivated accounts: Returns null or empty object — exclude from final dataset.

Output Format

# Twitter Profile Dataset
Accounts requested: N | Accounts returned: N | Missing: N

| Username | Display Name | Followers | Following | Tweets | Verified | Bio (truncated) | Joined |
|----------|-------------|-----------|-----------|--------|----------|-----------------|--------|
| ...      | ...         | ...       | ...       | ...    | ...      | ...             | ...    |

Available fields: username, displayName, followersCount, followingCount, tweetCount,
isVerified, isBlueVerified, description, location, url, profileImageUrl, createdAt, isPrivate

Troubleshooting

Some handles missing from results: Accounts may be suspended or renamed — cross-reference manually. Large lists (> 1000): Break into batches of 500 and run sequentially.

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