Get Twitter post comments.

Inputs

Field	Type	Description
`tweetId`	string	Tweet ID
`maxPages`	integer	Maximum number of pages to fetch (pagination handled automatically)

What you get

{
  "id": "1738107442452381976",
  "text": "@elonmusk Gratitude is a musk thank you Elon [https://t.co/8u6rbvMYKp](https://t.co/8u6rbvMYKp)",
  "display_text": "Gratitude is a musk thank you Elon",
  "likes": 822,
  "retweets": 69,
  "bookmarks": 4,
  "quotes": 2,
  "replies": 152,
  "views": "56888",
  "created_at": "Fri Dec 22 08:01:21 +0000 2023",
  "lang": "en",
  "conversation_id": "1738106896777699464",
  "author": {
    "rest_id": "2800216425",
    "name": "THE CHELSEA FORUM",
    "screen_name": "TheChelseaForum",
    "description": "The Chelsea Forum ◇|◇ A community where all Chelsea fans call their home! 💙",
    "blue_verified": true,
    "sub_count": 259816
  }
}

Use cases

Social Media Managers: Monitor brand mentions and audience reactions across Twitter threads. Track sentiment shifts in real-time to adjust campaign messaging and identify emerging trends before competitors.

Market Research Analysts: Collect qualitative feedback from product launches, industry discussions, and competitor announcements. Analyze comment patterns to uncover customer pain points and feature requests.

Sales Intelligence Teams: Identify high-intent prospects engaging with industry thought leaders. Build targeted outreach lists based on comment activity, follower counts, and verification status.

Pricing

$2.50 per 1,000 results (Free tier)
Actor start: $0.002 per GB

The actor is billed pay-per-result on Apify — you only pay for rows returned. See the live pricing on the Apify listing.

Runnable example

Paste this into the actor’s input (JSON) on Apify and press Start:

{
  "tweetId": "2024799518181700017",
  "maxPages": 1
}

Get started

Run Twitter Post Comments on Apify →