Twitter / X Tweet Scraper Goat - Bulk Tweet Extraction by Handle or URL

Bulk-scrape tweets from Twitter / X by username, tweet URL, or tweet ID. For every tweet you get a clean ordered row: text, engagement (likes / retweets / replies / quotes / views), media URLs, language, reply / retweet flags, timestamp. No API key, no login, no per-run start fee.

What this Twitter tweet scraper does

For each handle, tweet URL, or tweet ID you provide, the actor returns one normalised tweet row containing text, engagement, media URLs, language, reply / retweet flags, and timestamp. All records share a single ordered schema.

Perfect for content research, sentiment analysis, trend tracking, social-listening pipelines, brand-mention monitoring, and bulk archiving.

Why use this Twitter tweet scraper

• No Twitter / X API key required.
• No login. Public tweets only.
• Two modes in one actor - timeline-by-username AND single-tweet-by-URL.
• Media URLs included - photos, videos (highest-bitrate), animated GIFs.
• Engagement counts - likes, retweets, replies, quotes, views per tweet.
• Residential proxy rotation for reliable runs at scale.

What data you get per tweet

{
  "ok": true,
  "username": "exampleco",
  "id": "2061625841298317639",
  "url": "https://twitter.com/exampleco/status/2061625841298317639",
  "text": "Outrageous double-standard!",
  "created_at": "2026-06-02T01:47:00.000Z",
  "lang": "en",
  "is_reply": false,
  "is_retweet": false,
  "metrics": {
    "likes": 130300,
    "retweets": 15800,
    "replies": 3100,
    "quotes": 0,
    "views": 6300000
  },
  "media": [
    {
      "type": "photo",
      "url": "https://pbs.twimg.com/media/HJwx5MvW0AASf35.jpg",
      "preview_url": "https://pbs.twimg.com/media/HJwx5MvW0AASf35.jpg",
      "alt": null
    }
  ],
  "timelineNewestAt": "2026-06-02T01:47:00.000Z",
  "timelineAgeDays": 0,
  "timelineStale": false,
  "timelineRescue": "not_needed"
}

Freshness fields

Every row carries the age of the timeline it came from, so old data is never mistaken for current data.

Field	Meaning
timelineNewestAt	Timestamp of the newest tweet returned for this handle
timelineAgeDays	How many days old that newest tweet is
timelineStale	true when the newest tweet is older than staleAfterDays
timelineRescue	Outcome of the freshness re-check (below)

timelineRescue tells you why a timeline looks old, which the age alone cannot:

• not_needed - the timeline was already inside the freshness window
• fresher - the re-check found newer tweets and they replaced the older ones
• no_fresher - the re-check completed and found nothing newer, so the account is genuinely quiet
• unavailable - the re-check could not complete, so treat the age as unverified

The practical difference is between a quiet account (no_fresher, the data is correct) and one whose age could not be confirmed (unavailable, worth retrying).

How to use the Twitter Tweet Scraper

1. Click Try for free on the actor page.
2. Either enter usernames for timeline mode, or paste tweet URLs / IDs for single-tweet mode (or both).
3. Set Max tweets per user (default 20).
4. Click Save & Start. Download in JSON, CSV, Excel, XML, or HTML.

Top use cases

• Sentiment / brand monitoring - pull a competitor's last 100 tweets for tone analysis.
• Trend tracking - archive trending-hashtag tweets for downstream NLP.
• Content research - find top-performing tweet formats from a list of creators.
• Archive specific tweets - export by URL list for legal / journalism / research.
• Engagement benchmarking - rank a list of accounts by median tweet performance.
• Media bulk download - pipe media[].url into your download tool.

Pricing

Pay-per-result. No subscription and no per-run start fee. Failed lookups are never billed.

What you pay for	Price
Per tweet returned	$0.002

Apify's $5 platform free credit applies on first use.

Integrations

Apify API

$curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json"

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("goat255/twitter-tweet-scraper").call(run_input={
    "usernames": ["exampleco"],
    "maxTweetsPerUser": 50,
})
for tw in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{tw.get('created_at','')[:10]}  ❤ {tw['metrics']['likes']:>7,}  {tw['text'][:80]}")

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('goat255/twitter-tweet-scraper').call({
    tweetUrls: ['https://twitter.com/jack/status/20'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(t => console.log(t.text));

No-code

Send results to Google Sheets, Slack, Zapier, Make, Amazon S3, HubSpot, or any webhook via Apify Integrations.

FAQ

Do I need a Twitter / X API key?

No. Public tweets only, no developer account required.

How many tweets per handle?

Up to about 100 per handle per run, subject to availability.

Can I scrape replies / threads?

Threads (multi-tweet conversations) are surfaced via the parent tweet; pass each reply URL explicitly to fetch the reply tree.

What about protected / private accounts?

Not supported - public accounts only.

Can I export to CSV / Google Sheets / Excel?

Yes - JSON / CSV / Excel / XML / HTML all supported, plus native integrations.

Related Apify actors

• 👤 Twitter / X Profile Scraper - profile metadata only.
• 🐦 Twitter / X Scraper - profile + tweets in one run.
• 📷 Instagram Posts Scraper - bulk Instagram posts.
• 🧵 Threads Post Scraper - Meta Threads posts.

Support

Open an issue on the actor page if a field is missing or a handle stops working. Reviews are read and replied to.

Privacy

To improve our actors we collect anonymized usage telemetry (run stats and input patterns). No personal account data is collected.