🐦 Twitter / X Tweet Replies Scraper avatar

🐦 Twitter / X Tweet Replies Scraper

Pricing

$3.00 / 1,000 results

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🐦 Twitter / X Tweet Replies Scraper

🐦 Twitter / X Tweet Replies Scraper

Extract Twitter / X tweet replies data — text, author, likes, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required.

Pricing

$3.00 / 1,000 results

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0.0

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Developer

Jackie Chen

Jackie Chen

Maintained by Community

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1

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a day ago

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Twitter (X) Tweet Replies & Comments Scraper

twitter-tweet-replies

Scrape replies and comments on any public Twitter / X tweet by tweet ID. Returns clean, structured data for each reply: text, author (name, @handle, follower count, verification), like / retweet / reply / quote / bookmark / view counts, language, media URLs, reply-to references, and the tweet URL. Optionally includes the original tweet that the replies belong to.

Unofficial. This Actor is not affiliated with, authorized, or endorsed by Twitter / X Corp. It is an independent tool that retrieves publicly available data via a third-party API. Use it in compliance with X's terms and all applicable laws; you are responsible for how you use the retrieved data.

What it does

  • Tweet replies — give one or more tweet (status) IDs; the Actor pages through the replies for each, with cursor pagination, up to maxItems total.
  • Sort orderrelevant returns the conversation thread (top / most relevant replies); latest returns the newest replies first.
  • Original tweet (optional) — also emit one item for the tweet being replied to.

Input

FieldTypeDefaultDescription
tweetIdsstring[]["2062285861840945467"]Tweet (status) IDs to scrape replies for. The numeric id from a tweet URL. Each is paginated independently.
maxItemsinteger40Max total records (replies + original tweets) across all tweets.
sortOrderenumrelevantrelevant (top replies) or latest (newest first).
includeOriginalTweetbooleantrueAlso push the original tweet as a dataset item.

Finding a tweet ID

For https://x.com/realMaalouf/status/2062285861840945467, the tweet ID is 2062285861840945467. Pick tweets that actually have replies.

Example input

{
"tweetIds": ["2062285861840945467"],
"maxItems": 100,
"sortOrder": "latest",
"includeOriginalTweet": true
}

Output

One dataset item per reply (and, optionally, per original tweet):

{
"id": "2062543960833400927",
"url": "https://x.com/cluewithvibe/status/2062543960833400927",
"text": "I hope the girl fights back and beats that bad woman like a dog.",
"displayText": "I hope the girl fights back and beats that bad woman like a dog.",
"isOriginalTweet": false,
"conversationId": "2062285861840945467",
"createdAt": "Thu Jun 04 14:36:15 +0000 2026",
"lang": "en",
"likes": 0,
"retweets": 0,
"replies": 1,
"quotes": 0,
"bookmarks": 0,
"views": 1454,
"inReplyToTweetId": null,
"inReplyToScreenName": null,
"authorUserId": "2014223658504564736",
"authorScreenName": "cluewithvibe",
"authorName": "hui wang",
"author": {
"userId": "2014223658504564736",
"name": "hui wang",
"screenName": "cluewithvibe",
"verified": false,
"followersCount": 0
},
"mediaUrls": [],
"source": "replies:2062285861840945467"
}

Notes

  • Data is sourced live; X occasionally rate-limits, so the Actor retries transient blocks with exponential backoff.
  • Tweet IDs are de-duplicated within a run.
  • Pagination stops automatically when the reply cursor is exhausted.

Quick start

  1. Open the Actor and press Run — the default input works out of the box.
  2. Adjust the input fields below to your target (keywords, IDs, or URLs) and set maxItems to cap spend.
  3. Grab results from the Dataset tab as JSON / CSV / Excel, or pull them via the Apify API and MCP from your own code.

No proxies to configure, no cookies to paste, no login — the Actor handles everything server-side.

Why teams switch to this Twitter (X) replies scraper

Replies are where X conversations actually happen, and they're what browser scrapers drop most often. This Actor walks a tweet's reply thread via a direct HTTP API and returns every reply with author and engagement data as clean JSON at $3 per 1,000 replies.

What people build with it

  • Audience sentiment — what did people say under your announcement? Feed the replies to an LLM for a structured verdict.
  • Community management — collect replies across your posts and triage the ones that need an answer.
  • Campaign measurement — reply volume and tone are engagement-quality metrics likes can't give you.
  • UGC & testimonial mining — endorsements and objections, verbatim, under any conversation in your niche.
  • Discourse datasets — tweet-and-reply pairs are natural dialogue data.

Tips for better results


Why this Actor

  • Direct API, no headless browser — fast, stable runs with nothing to babysit.
  • No login, no cookies — we never touch your accounts, so there's no ban risk.
  • Fresh, real-time data — every run reads the source live, not a stale cache.
  • Pay per result — you're billed only for the rows actually delivered.
  • Structured JSON — export to CSV, Excel, or JSON, or pull straight from the API / MCP.

Use cases

  • Mine audience sentiment and feature requests from real comment threads.
  • Surface the most-liked replies and frequent questions under any post.
  • Build moderation, UGC, or social-listening datasets at scale.
  • Spot superfans and detractors by author and engagement.

FAQ

Do I need an account, cookies, or to log in anywhere? No. The Actor talks to a fast, direct HTTP API server-side — you just provide inputs and run it.

How am I billed? Pay-per-result: a fixed price per row returned, with no separate platform/compute charge. Caps like maxItems keep spend predictable.

Can I run it on a schedule or call it from my app? Yes — use Apify Schedules, the REST API, the JavaScript / Python clients, or the MCP server. See the API tab.

Is this affiliated with Twitter (X)? No. It's an independent tool that collects publicly available data. Use it in line with the platform's terms and applicable law.

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