Tweet Scraper: Tweet Details by URL, No Login or Cookies

Tweet Scraper - Paste a list of tweet links or IDs and get one clean row each - text, author, likes, replies, photos, video - without logging in.

What does Tweet Scraper do?

Run it daily on your own list of tweet links and see what changed: each row says new / changed / same and shows how many likes and replies it gained since the last run, plus hashtags, mentions and media links - all without login or cookies.

• Bulk tweet links or IDs in one run
• Text, author, verified flag, likes and reply count per tweet
• Photo count and video flag for media checks
• Deleted or private tweets come back as found=false, the run keeps going
• No login, cookies or API key

Who uses Tweet Scraper, and for what

• Social teams - track likes and replies of their own posts every day
• Researchers - monitor a list of tweets for edits or deletion
• Agencies - report engagement growth on campaign tweets
• AI agents - call it over Apify MCP with 1-5 tweet links and read one flat summary per tweet

Why this Tweet Scraper?

Cookie-based tools break when sessions expire or accounts get suspended. This Tweet Scraper checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

Data you get from Tweet Scraper

Every result is one flat row with these fields (values from a real run):

Field	Example
tweet_id	20
found	true
url	https://x.com/jack/status/20
text	just setting up my twttr
created_at	2006-03-21T20:50:14.000Z
language	en
author_username	jack
author_name	jack
author_verified	true
likes	309073
replies	18120
photo_count	0
has_video	false
is_reply	false
author_id	12
author_avatar_url	https://pbs.twimg.com/profile_images/1661201415899951105/azN...
is_edited	false
hashtags	[]
mentions	[]
links	[]
media_urls	[]
quoted_tweet_url	null
scraped_at	2026-10-26T13:52:28Z
likes_change	2
replies_change	0

How to use Tweet Scraper

1. Press Start - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an Apify Schedule to get fresh rows every day.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

Input example

{
  "tweetUrls": [
    "https://x.com/jack/status/20"
  ],
  "maxItems": 10,
  "onlyNewOrChanged": false,
  "useApifyProxy": true
}

Output example (a real run)

[
  {
    "tweet_id": "20",
    "found": true,
    "url": "https://x.com/jack/status/20",
    "text": "just setting up my twttr",
    "created_at": "2006-03-21T20:50:14.000Z",
    "language": "en",
    "author_username": "jack",
    "author_name": "jack",
    "author_verified": true,
    "likes": 309073,
    "replies": 18120,
    "photo_count": 0,
    "has_video": false,
    "is_reply": false,
    "author_id": "12",
    "author_avatar_url": "https://pbs.twimg.com/profile_images/1661201415899951105/azNjKOSH_normal.jpg",
    "is_edited": false,
    "hashtags": [],
    "mentions": [],
    "links": [],
    "media_urls": [],
    "quoted_tweet_url": null,
    "scraped_at": "2026-10-26T13:52:28Z",
    "likes_change": 2,
    "replies_change": 0,
    "change_status": "same",
    "summary": "@jack (2006-03-21T20:50:14.000Z): just setting up my twttr [309073 likes, 18120 replies]",
    "media_count": 0,
    "has_media": false,
    "hashtags_text": "",
    "mentions_text": "",
    "first_link": null,
    "text_length": 24
  },
  {
    "tweet_id": "20",
    "found": true,
    "url": "https://x.com/jack/status/20",
    "text": "just setting up my twttr",
    "created_at": "2006-03-21T20:50:14.000Z",
    "language": "en",
    "author_username": "jack",
    "author_name": "jack",
    "author_verified": true,
    "likes": 309073,
    "replies": 18120,
    "photo_count": 0,
    "has_video": false,
    "is_reply": false,
    "author_id": "12",
    "author_avatar_url": "https://pbs.twimg.com/profile_images/1661201415899951105/azNjKOSH_normal.jpg",
    "is_edited": false,
    "hashtags": [],
    "mentions": [],
    "links": [],
    "media_urls": [],
    "quoted_tweet_url": null,
    "scraped_at": "2026-10-26T13:52:36Z",
    "likes_change": 0,
    "replies_change": 0,
    "change_status": "same",
    "summary": "@jack (2006-03-21T20:50:14.000Z): just setting up my twttr [309073 likes, 18120 replies]",
    "media_count": 0,
    "has_media": false,
    "hashtags_text": "",
    "mentions_text": "",
    "first_link": null,
    "text_length": 24
  }
]

One flat row per result.

How much does Tweet Scraper cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the Pricing tab. Apify's free plan credit is enough to try it on real input.

You want	What you pay for
A quick test with the example	a few results
A daily scheduled run	only the rows that run returns
A big one-off export	the results delivered - set a maximum in the input

Also searched as

• twitter scraper
• tweet details
• scrape tweets by url
• x post scraper
• tweet likes

FAQ

Does Tweet Scraper need a login, cookies or an API key? No. It reads public pages only.

Can I run Tweet Scraper on a schedule? Yes - with Apify Schedules; each run returns fresh rows.

Can I call it from Python, JavaScript or an AI agent? Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

Is it legal? It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

What if the site blocks a request? The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Do I need proxies? No setup needed - Tweet Scraper uses Apify Proxy by default where the site needs it.

Troubleshooting

• No results: check the input (a public URL or a search term that returns results in a normal browser), then try the example input once.
• Fewer results than expected: raise the maximum in the input; some sites show only a part of their data without logging in, and Tweet Scraper never logs in.
• The run stopped with a message: the message says what the site answered; run it again later or with fewer items.

Your feedback

Missing a field, found a bug, or need another site? Open an issue on the Issues tab - issues are answered and fixed. If Tweet Scraper saved you time, a short review on this page helps others find it.

Data source: x.com

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