Twitter Scraper: extract tweets, replies and profiles from X

What are the Twitter Scraper specifications?

Apidojo Twitter Scraper runs on the Apify platform and accepts 4 input types: search queries, tweet or profile URLs, Twitter handles and conversation IDs. Each tweet returns 20 fields plus a 12-field author object, exported as JSON, CSV or Excel.

What does Twitter Scraper output look like?

Twitter Scraper output is one JSON object per tweet. Each object carries the tweet ID, both the x.com and twitter.com URLs, the text, creation date, language, 5 engagement counts and a nested author object with username, follower count and verification type.

{
  "searchTerms": ["bitcoin min_faves:1000 min_retweets:100"],
  "sort": "Top",
  "maxItems": 1000
}

{
  "type": "tweet",
  "id": "1728108619189874825",
  "url": "https://x.com/elonmusk/status/1728108619189874825",
  "twitterUrl": "https://twitter.com/elonmusk/status/1728108619189874825",
  "text": "More than 10 per human on average",
  "likeCount": 104121,
  "retweetCount": 11311,
  "replyCount": 6526,
  "quoteCount": 2915,
  "bookmarkCount": 702,
  "createdAt": "Fri Nov 24 17:49:36 +0000 2023",
  "lang": "en"
}

{
  "searchTerms": [
    "from:NASA since:2026-01-01 until:2026-06-01",
    "from:NASA since:2026-06-01 until:2026-12-01"
  ],
  "sort": "Latest"
}

"author": {
  "type": "user",
  "userName": "NASA",
  "name": "NASA",
  "id": "11348282",
  "url": "https://x.com/NASA",
  "isVerified": true,
  "isBlueVerified": true,
  "verifiedType": "government",
  "followers": 87611884,
  "following": 158
}

{
  "startUrls": [
    "https://x.com/elonmusk/status/1728108619189874825"
  ],
  "maxItems": 500
}

{
  "type": "tweet",
  "isReply": true,
  "text": "…",
  "likeCount": 312,
  "createdAt": "Sat Nov 25 09:14:02 +0000 2023",
  "author": { "userName": "…", "followers": 4821 }
}

{
  "startUrls": ["https://x.com/i/lists/1234567890"],
  "maxItems": 2000
}

{
  "type": "tweet",
  "id": "1801234567890123456",
  "url": "https://x.com/user/status/1801234567890123456",
  "text": "…",
  "likeCount": 44,
  "retweetCount": 6,
  "author": { "userName": "…", "followers": 12904 }
}

What the fields are

• Tweet content

  ID, both URLs, full text, language, creation time, source client, X Article body

• Engagement

  Likes, retweets, replies, quotes, bookmarks

• Author profile

  Username, display name, user ID, followers, following, verification type, avatar

• Media and context

  Link cards, place, reply / retweet / quote flags, quoted tweet ID

Which Apidojo X (Twitter) scraper fits your job?

Apidojo publishes 6 Twitter scrapers. Tweet Scraper collects tweets in bulk from searches, profiles and Lists at $0.40 per 1,000 with a 50-tweet minimum; Twitter Scraper Unlimited handles single tweets and reply threads with no minimum; the Profile, User, List and Replies scrapers each handle one account-level or thread-level job.

X scrapers for a single job

• Twitter Scraper Unlimitedapidojo/twitter-scraper-liteThe one to use when Tweet Scraper will not take the job: single tweets, reply threads, X Articles and any query returning fewer than 50 results. No minimum.Single tweets and reply threads · X Articles · No 50-item minimum$0.016 / query + $0.40 / 1K33.5K users · 4.8 (101)
• Twitter User Scraperapidojo/twitter-user-scraperProfiles, followers, following and retweeters by handle, URL or keyword. Use it when you need the people rather than the posts.Follower and following lists · Retweeters of a tweet · Keyword search across profiles$0.004 / profile + $0.40 / 1K8.7K users · 4.4 (16)
• Twitter Profile Scraperapidojo/twitter-profile-scraperExtracts one profile's tweets and the replies it received, with date filtering. Use it when the account is the unit of analysis.Tweets plus the replies they drew · Profile bio and metadata · 40 tweets included per profile$0.016 / profile + $0.40 / 1K2.7K users · 3.4 (11)
• Twitter List Scraperapidojo/twitter-list-scraperTweets and members of any X List URL. The cheapest way to follow a curated set of accounts.List tweets, same schema as search · List members · One query per List$0.008 / List + $0.40 / 1K1.1K users · 5.0 (9)
• Twitter Replies Scraperapidojo/twitter-replies-scraperEvery reply under a tweet by ID or URL, with the author object attached to each one.Full reply threads · Author data per reply · Search-query mode as well$0.014 / tweet + $0.40 / 1K130 users · New

How much does Twitter Scraper cost?

Twitter Scraper costs $0.40 per 1,000 tweets on Tweet Scraper, billed per result with no per-run fee. The Unlimited, Profile, User, List and Replies scrapers charge the same $0.40 per 1,000 items plus a query fee between $0.004 and $0.05 per profile, List or tweet.

Prices apply to Apify paid plans. The free Apify plan runs Tweet Scraper in demo mode: 5 runs per month, 10 items per run, no credit card.

How does Twitter Scraper compare with the official X API?

Twitter Scraper collects 1,000 tweets for $0.40. The official X API pay-per-use plan charges $0.005 per post read, which is $5.00 per 1,000 tweets, and caps reads at 3 million posts per monthly billing cycle. Twitter Scraper needs no developer account and no OAuth token.

X API rates read from docs.x.com/x-api/getting-started/pricing on the snapshot date: posts read $0.005 per resource, user reads $0.010, pay-per-usage capped at 3 million post reads per billing cycle. X states prices are subject to change in the Developer Console.

How to scrape X with Apidojo in 4 steps

Scraping Twitter with Apidojo takes 4 steps: open the scraper, enter a query or URL, set the filters, then run and export. No code, proxy or X account is required.

1. 01

   Open Twitter Scraper on Apify

   Sign in with a free Apify account. No credit card is needed to run it in demo mode.

2. 02

   Enter a query, handle or URL

   Paste from:NASA, a tweet URL or a List URL. The built-in Query Wizard writes the syntax for you.

3. 03

   Set filters and limits

   Pick a language, date range, media type, engagement floor and maxItems to cap both the run and the cost.

4. 04

   Run and export the dataset

   Start the run, then download JSON, CSV or Excel, or pull the results straight through the API.

How do you call the Twitter Scraper API?

Twitter Scraper runs through the Apify REST API and the official Python and JavaScript clients. One POST to the run-sync endpoint starts the scraper and returns the tweets as JSON in the same response.

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("apidojo/tweet-scraper").call(run_input={
    "searchTerms": ["from:NASA since:2026-01-01"],
    "sort": "Latest",
    "maxItems": 1000,
})

for tweet in client.dataset(run.default_dataset_id).iterate_items():
    print(tweet["createdAt"], tweet["likeCount"], tweet["text"])

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('apidojo/tweet-scraper').call({
  searchTerms: ['#AI lang:en min_faves:100'],
  sort: 'Top',
  maxItems: 1000,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0].text);

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms":["from:NASA since:2026-01-01"],"sort":"Latest","maxItems":500}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=apidojo/tweet-scraper",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

• n8n

  Apify node to Twitter Scraper to Google Sheets, on a schedule.

• Make

  Scheduled run, results into Airtable.

• Zapier

  New dataset item triggers a Slack alert.

• Webhooks

  POST to any URL on run success.

How fast is Twitter Scraper?

Twitter Scraper returns 64 tweets per second from tweet URLs, 58 from profile timelines and 49 from search queries in Apidojo’s published benchmark. At 58 tweets per second a 10,000-tweet profile export finishes in under three minutes.

Benchmark published on the Tweet Scraper listing, run with identical inputs and resources per input type. Real speed varies with X response times and the shape of the query.

99.9K

users on Tweet Scraper

163M

Tweet Scraper runs, all time

3.9 / 5

from 195 Apify reviews

6

Twitter scrapers in the family

That rating is Tweet Scraper’s own, not an average across the six. Most of what pulls it down is people reaching for it when they needed single tweets or reply threads, which the limits above route elsewhere.

What can you build with Twitter Scraper data?

Twitter Scraper data powers 6 common workflows: brand monitoring, sentiment analysis, lead research, AI training datasets, academic research and market signals. Each recipe below gives the exact query, the fields it uses and where the output lands.

• 01

  Brand monitoring

  "yourbrand" OR @yourbrand -filter:retweets

  Fields

  text, likeCount, author.followers

  Lands in

  Slack via n8n, hourly

• 02

  Sentiment analysis

  #iPhone17 lang:en min_faves:10

  Fields

  text, lang, createdAt

  Lands in

  An LLM classifier, then a dashboard

• 03

  Lead research

  "looking for" (CRM OR "sales tool") -filter:retweets

  Fields

  author.userName, author.followers, text

  Lands in

  Your CRM, with a lawful basis recorded

• 04

  AI training datasets

  lang:en min_faves:50 -filter:links since:2026-01-01

  Fields

  text, lang, likeCount

  Lands in

  JSONL for fine-tuning or a RAG index

• 05

  Academic research

  #climate since:2025-01-01 until:2025-12-31

  Fields

  The full tweet and author objects

  Lands in

  CSV into R or pandas

• 06

  Market signals

  $TSLA min_retweets:50

  Fields

  createdAt, retweetCount, likeCount

  Lands in

  A time-series database

What are the limits of Twitter Scraper?

Tweet Scraper operates under 5 documented limits. Each one below states the workaround, and four of the five are answered by another scraper in the same family.

• 50-tweet minimum per query

  A query that would return fewer than 50 tweets is not supported on Tweet Scraper.

  Use Twitter Scraper Unlimited, which bills per query and has no minimum.

• No single-tweet fetching

  Tweet Scraper will not return one specific tweet by URL or ID.

  Twitter Scraper Unlimited takes a single tweet URL at $0.05 per query.

• No reply or conversation scraping

  Tweet Scraper does not walk reply threads.

  Twitter Scraper Unlimited or Twitter Replies Scraper both do, by tweet URL or ID.

• 1 concurrent run per account

  One run at a time, batching up to 5 queries inside it.

  Put several handles or searches into one searchTerms array rather than starting parallel runs.

• Only what X search shows

  Tweets X hides, filters or shadow-bans do not appear, and X can change its search behaviour without notice.

  Test the query on x.com/search first, then widen the date range or switch sort to Top or Latest + Top.

Is it legal to use a Twitter scraper?

Scraping publicly visible, logged-out Twitter data is generally lawful in the United States. US courts have held that scraping public pages does not violate the Computer Fraud and Abuse Act, in hiQ Labs v. LinkedIn (9th Cir., 2022). Personal data inside tweets remains subject to GDPR and CCPA.

• What the scraper collects

  Only content visible without logging in. No private accounts, no direct messages, no protected tweets.

• What you are responsible for

  A lawful basis for processing personal data, a retention limit, and X’s Terms of Service, which restrict automated collection.

• Where the case law stands

  hiQ v. LinkedIn settled the CFAA question for logged-out pages. X Corp. v. Bright Data was dismissed in 2024 on similar ground.

This is general information, not legal advice.

Twitter Scraper frequently asked questions