# Twitter/X Comments Scraper · No Cookies (`data-slayer/twitter-comments`) Actor

Extract replies and comments from any tweet without login. Get comment text, author profiles, likes, retweets, bookmarks, views, timestamps, and conversation threads. Sentiment analysis ready. No cookies, no authentication, no API key. JSON/CSV/Excel export.

- **URL**: https://apify.com/data-slayer/twitter-comments.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Social media, Developer tools, Automation
- **Stats:** 252 total users, 31 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Twitter/X Comments Scraper · No Cookies

Extract Twitter post comments at scale without authentication or cookies. This scraper delivers comprehensive comment data, engagement metrics, and author profiles in seconds — perfect for sentiment analysis, competitive research, and content strategy optimization.

### 📺 Video Tutorial: How it Works

https://www.youtube.com/watch?v=X7Jn9epGPwY

***

### Inputs

| Field | Type | Description |
|-------|------|-------------|
| tweetId | String | The unique Twitter post ID from the URL (e.g., "1738106896777699464"). Find this in the tweet URL after `/status/`. |

### Outputs

**Formats**: JSON, CSV, Excel

**Fields**: Each comment includes:

- `id` - Unique comment identifier
- `text` - Full comment text content
- `display_text` - Cleaned text without mentions/URLs
- `likes`, `retweets`, `bookmarks`, `quotes`, `replies` - Engagement metrics
- `views` - Impression count
- `created_at` - Timestamp
- `conversation_id` - Thread identifier
- `author.name`, `author.screen_name`, `author.description` - Profile details
- `author.blue_verified`, `author.sub_count` - Verification and follower count

### Sample Output

```json
{
  "id": "1738107442452381976",
  "text": "@elonmusk Gratitude is a musk thank you Elon",
  "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
  }
}
```

### How to Use

**Step 1**: Enter the target Tweet ID in the `tweetId` field. Copy this from the Twitter post URL (the numeric string after `/status/`).

**Step 2**: Click "Start" to begin extraction.

**Step 3**: Download your results in JSON, CSV, or Excel format once the scraper completes.

### Key Features

🔒 **Cookieless / No Login Required** - Access public Twitter comment data without authentication, cookies, or API keys. No account suspension risks or rate limit headaches.

📈 **Scalable Architecture** - Extract thousands of comments from viral threads with enterprise-grade infrastructure that handles high-volume data collection reliably.

✅ **Rich Comment Data** - Capture complete engagement metrics including likes, retweets, bookmarks, quotes, replies, views, timestamps, and conversation threads with full author profiles.

### 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.

### 🧩 Other Twitter/X Actors by Data Slayer

| Actor | What it does | Link |
|---|---|---|
| Twitter Tweets Scraper | Extract tweets from any Twitter/X account | [Try it](https://apify.com/data-slayer/twitter-user-tweets) |
| Twitter Followers Scraper | Extract follower lists from any account | [Try it](https://apify.com/data-slayer/twitter-followers) |
| Twitter Following Scraper | See who any account follows | [Try it](https://apify.com/data-slayer/twitter-followings) |
| Twitter Profile Scraper | Get detailed profile data by username | [Try it](https://apify.com/data-slayer/twitter-user) |
| Twitter/X Search Scraper | Search tweets by keyword or hashtag | [Try it](https://apify.com/data-slayer/twitter-search) |
| Twitter List Members Scraper | Extract members from any Twitter list | [Try it](https://apify.com/data-slayer/twitter-list-members) |
| Twitter Community Members Scraper | Extract members from any Twitter community | [Try it](https://apify.com/data-slayer/twitter-community-members) |
| Twitter Trends Scraper | Get trending topics by location | [Try it](https://apify.com/data-slayer/twitter-trends-by-location) |

**Need verified emails?** Our [LinkedIn Post Engagers Email Finder](https://apify.com/data-slayer/linkedin-post-to-verified-leads) and [LinkedIn Audience Email Finder](https://apify.com/data-slayer/linkedin-influencer-audience-to-verified-leads) extract verified work emails from LinkedIn engagement data.

### 💬 Feedback and Support

We actively maintain this actor and ship improvements based on user feedback. If you run into any issues or have ideas for new features:

- Create an issue on the Actor's **Issues tab** in Apify Console
- Rate the actor if it helped you — it helps others find it too

We typically respond within 24 hours.

***

***

# Actor input Schema

## `tweetId` (type: `string`):

Tweet ID

## `maxPages` (type: `integer`):

Maximum number of pages to fetch (pagination handled automatically)

## Actor input object example

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

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/twitter-comments").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/twitter-comments").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call data-slayer/twitter-comments --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data-slayer/twitter-comments",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/BhkiOZwFclARKOiBR/builds/BcDeDNJsUqCfRUZJs/openapi.json