X Tweet Scraper (Twitter Posts by URL, No Login) avatar

X Tweet Scraper (Twitter Posts by URL, No Login)

Pricing

from $0.30 / 1,000 tweets

Try for free
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X Tweet Scraper (Twitter Posts by URL, No Login)

X Tweet Scraper (Twitter Posts by URL, No Login)

Try for free

Get full details of X (Twitter) posts from their URLs or ids: text, date, likes, replies, author, verification, hashtags, mentions, links, photos, videos (MP4), link cards, quotes and replies. No login, cookies or API key.

Pricing

from $0.30 / 1,000 tweets

Rating

0.0

(0)

Developer

Murat Uzun

Murat Uzun

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

15 days ago

Last modified

Categories

Social media

Marketing

Developer tools

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What is X Tweet Scraper?

X Tweet Scraper returns the full public details of X (Twitter) posts from their URLs or ids. For each tweet you get the text, language, date, like and reply counts, author (name, username, blue check, affiliation badge, profile picture), hashtags, mentions, expanded links, photos, videos with a direct MP4 link, link-preview card, X article title, and the quoted or replied-to tweet. It reads the same public data X's own embed widget uses, so it needs no login, no cookies and no API key. $0.50 per 1,000 tweets.

Use it to enrich tweet links you already have (from Google results, spreadsheets, social listening exports, news articles), check engagement on a list of posts, archive tweets with their media, or download tweet videos.

What data does X Tweet Scraper extract?

FieldDescription
tweetId, urlTweet id and its x.com link
text, lang, createdAtTweet text, language, publish time (ISO)
likeCount, replyCountLikes and replies
isEdited, possiblySensitive, isLongTweetEdited flag, sensitive-media flag, long post (see Limits)
authorId, authorUsername, authorNameWho posted it
authorIsBlueVerified, authorAffiliation, authorProfileImageUrlBlue check, affiliation badge (e.g. the company an employee belongs to), 400×400 avatar
hashtags, mentions, linksHashtags, mentioned usernames, expanded URLs
media, mediaCountPhotos and videos: type, image URL, best-quality MP4 URL, duration, size, alt text
cardUrl, cardTitle, cardDescription, cardDomainLink-preview card
articleTitle, articlePreviewX article, when the post is one
quotedTweetId, quotedTweetText, quotedAuthorUsernameThe quoted post
inReplyToTweetId, inReplyToUsernameThe post it replies to

How to use X Tweet Scraper

  1. Paste Tweets: URLs (https://x.com/NASA/status/2104695667180380260, twitter.com links work too) or plain ids.
  2. Run. Tweets are fetched five at a time.
  3. Download the rows as JSON, CSV, Excel or HTML, or read them through the API.

Example input

{
    "tweets": [
        "https://x.com/jack/status/20",
        "https://x.com/elonmusk/status/1585341984679469056",
        "1628832338187636740"
    ]
}

Example output

{
    "tweetId": "1585341984679469056",
    "url": "https://x.com/elonmusk/status/1585341984679469056",
    "text": "Entering Twitter HQ – let that sink in! https://t.co/D68z4K2wq7",
    "lang": "en",
    "createdAt": "2022-10-26T18:45:58.000Z",
    "likeCount": 1221893,
    "replyCount": 58080,
    "isEdited": false,
    "possiblySensitive": false,
    "isLongTweet": false,
    "authorId": "44196397",
    "authorUsername": "elonmusk",
    "authorName": "Elon Musk",
    "authorIsBlueVerified": true,
    "authorAffiliation": "X",
    "authorProfileImageUrl": "https://pbs.twimg.com/profile_images/2103567689515954176/aR-Kjpp4_400x400.jpg",
    "hashtags": [],
    "mentions": [],
    "links": [],
    "mediaCount": 1,
    "media": [
        {
            "type": "video",
            "url": "https://pbs.twimg.com/ext_tw_video_thumb/1585341912877146112/pu/img/DwJ7wlGIe9iryk6N.jpg",
            "videoUrl": "https://video.twimg.com/ext_tw_video/1585341912877146112/pu/vid/1920x1080/aeoVUvTgj4wHShhN.mp4?tag=14",
            "durationMs": 9301,
            "width": 1920,
            "height": 1080,
            "altText": null
        }
    ],
    "cardUrl": null,
    "cardTitle": null,
    "cardDescription": null,
    "cardDomain": null,
    "articleTitle": null,
    "articlePreview": null,
    "quotedTweetId": null,
    "quotedTweetText": null,
    "quotedAuthorUsername": null,
    "inReplyToTweetId": null,
    "inReplyToUsername": null
}

How much does it cost?

Pay per result: $0.0005 per tweet ($0.50 per 1,000), with volume discounts on paid Apify plans. Deleted, protected or unknown tweets and invalid links are listed in the ERRORS record and cost nothing. Set Maximum cost per run to cap spend.

Limits

  • It needs the tweet's URL or id. It does not search X or list a profile's tweets: without a login, X no longer serves search or timelines.
  • Retweet, quote, bookmark and view counts are not in X's public embed data, so only likes and replies are returned.
  • Long posts (over 280 characters, isLongTweet: true) come with the first part of the text only.
  • Tweets from protected, suspended or age-restricted accounts, and deleted tweets, cannot be read.
  • The Actor starts without a proxy and moves to Apify Residential proxy only if X rate-limits the run.

Using X Tweet Scraper with AI agents

The Actor is pay-per-event with limited permissions, so AI agents can call it through Apify's MCP server (mcp.apify.com), for example with {"tweets": ["https://x.com/NASA/status/2104695667180380260"]}. It also accepts tweetUrls, tweetIds, ids, url, urls and startUrls.

FAQ

Is this allowed? The Actor reads the public data X serves to its embed widget for any website. Check that your use of the data is allowed where you are, and respect X's terms for any content you republish.

Can I download the videos? Yes: media[].videoUrl is the highest-quality MP4 file.

Part of the webdatatools web-intelligence suite — every Actor is pay-per-event, reads public data without a login, and returns one clean row per entity:

Browse the whole suite at webdatatools, or call ten of these Actors straight from Claude, Cursor or Cline with the webdatatools MCP server.

Website & domain intelligence

Content for AI, LLMs and RAG

Search, video and social

Leads, jobs and company data

Developer, app and research data

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