X(Twitter) Thread Scraper

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Expand a tweet into its thread conversation and export rows with text, timestamps, engagement counts, media/entity blocks, and author metadata when available. The actor can continue through cursor-based pages automatically so you can collect a longer thread in one run.

Who it’s for

• Analysts and researchers reviewing full thread context beyond the first post.
• Content teams tracking engagement and media across a conversation.
• Automation pipelines that store thread snapshots in tabular form.

What you can do with it

• Start from one tweet id and collect related thread items.
• Automatically continue paging while more rows are available.
• Set a max row cap to keep runs predictable.

How it works (in plain terms)

You provide a tweet id and an optional max row count. The actor fetches the first thread page, saves results, then keeps requesting next pages when a cursor is returned, until your cap is reached or no more items are available.

Input

Output

• One row per thread item (until your cap).
• Rows can include fields such as id_str, tweet_id, text, display_text, created_at, likes, retweets, replies, quotes, views, lang, source, entities, author, and media-related blocks when present.
• Actor context: each row includes seedTweetId and scrapedAt.

Field coverage depends on the specific tweet and can vary over time.

Sample output (one row, illustrative)

{
"likes":815,
"created_at":"Fri Dec 22 08:01:21 +0000 2023",
"status":"active",
"text":"@elonmusk Gratitude is a musk thank you Elon https://t.co/8u6rbvMYKp",
"retweets":68,
"bookmarks":4,
"quotes":2,
"display_text":"Gratitude is a musk thank you Elon",
"replies":145,
"lang":"en",
"views":"56905",
"conversation_id":"1738106896777699464",
"id":"1738107442452381976",
"author":{
"rest_id":"2800216425",
"name":"THE CHELSEA FORUM",
"screen_name":"TheChelseaForum",
"description":"The Chelsea Forum ◇|◇ A community where all Chelsea fans call their home! 💙",
"image":"https://pbs.twimg.com/profile_images/2030605354267025408/ND29IXzP_normal.jpg",
"blue_verified":true,
"can_dm":false,
"sub_count":264150
},
"entities":{
"hashtags":[],
"media":[
{
"allow_download_status":{
"allow_download":true
},
"display_url":"pic.x.com/8u6rbvMYKp",
"expanded_url":"https://x.com/TheChelseaForum/status/1738107442452381976/photo/1",
"ext_media_availability":{
"status":"Available"
},
"features":{
"large":{
"faces":[
{
"h":182,
"w":182,
"x":212,
"y":20
}
]
},
"medium":{
"faces":[
{
"h":182,
"w":182,
"x":212,
"y":20
}
]
},
"orig":{
"faces":[
{
"h":182,
"w":182,
"x":212,
"y":20
}
]
},
"small":{
"faces":[
{
"h":182,
"w":182,
"x":212,
"y":20
}
]
}
},
"id_str":"1738107408629542912",
"indices":[
45,
68
],
"media_key":"3_1738107408629542912",
"media_results":{
"result":{
"media_key":"3_1738107408629542912"
}
},
"media_url_https":"https://pbs.twimg.com/media/GB7_erDWsAAeTs2.jpg",
"original_info":{
"focus_rects":[
{
"h":357,
"w":638,
"x":0,
"y":252
},
{
"h":637,
"w":637,
"x":1,
"y":0
},
{
"h":637,
"w":559,
"x":79,
"y":0
},
{
"h":637,
"w":319,
"x":271,
"y":0
},
{
"h":637,
"w":638,
"x":0,
"y":0
}
],
"height":637,
"width":638
},
"sizes":{
"large":{
"h":637,
"resize":"fit",
"w":638
},
"medium":{
"h":637,
"resize":"fit",
"w":638
},
"small":{
"h":637,
"resize":"fit",
"w":638
},
"thumb":{
"h":150,
"resize":"crop",
"w":150
}
},
"type":"photo",
"url":"https://t.co/8u6rbvMYKp"
}
],
"symbols":[],
"timestamps":[],
"urls":[],
"user_mentions":[
{
"id_str":"44196397",
"indices":[
0,
9
],
"name":"Elon Musk",
"screen_name":"elonmusk"
}
]
},
"media":{
"photo":[
{
"media_url_https":"https://pbs.twimg.com/media/GB7_erDWsAAeTs2.jpg",
"id":"1738107408629542912"
}
]
},
"seedTweetId":"1738106896777699464",
"scrapedAt":"2026-03-27T02:57:06.243Z"
}