# Twitter Scraper (`thisismegant/twitter-scraper`) Actor

- **URL**: https://apify.com/thisismegant/twitter-scraper.md
- **Developed by:** [Megan Studios](https://apify.com/thisismegant) (community)
- **Categories:** Automation, Social media, Developer tools
- **Stats:** 2 total users, 1 monthly users, 92.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 GraphQL Scraper

A robust, stealthy Twitter (X) scraper that bypasses anti-bot protections by perfectly mimicking your browser's network requests.

Instead of relying on unstable Puppeteer automation or easily-blocked headless browsers, this Actor takes developer-provided cookies and headers from a real browser session, then uses them to query Twitter's hidden GraphQL API directly.

This guarantees 100% data extraction success without getting blocked!

### Features

- **No Headless Browser**: Extremely fast because it directly queries the API using `Axios`.
- **Zero Bot Detection**: Uses exact browser fingerprints, cookies, and `User-Agent`.
- **Raw JSON Output**: Provides the exact, rich JSON data that Twitter sends to its own web app.

### How to Use

To run this Actor, simply select what you want to scrape and provide the target identifier:

1. **Scrape Target Type**: Select whether you want to scrape a user profile, a single tweet, tweet replies, or retweets.
2. **Target Identifier**: Enter the username (e.g., `elonmusk`) or the Tweet ID (e.g., `123456789`).
3. Click **Start**!

### Output

The scraper will execute the HTTP request and save the raw JSON response directly into your Apify Dataset.

You can then download this dataset as JSON, CSV, or Excel directly from the Apify Console. The raw response will also be logged into the Default Key-Value store for debugging purposes.

# Actor input Schema

## `scrapeType` (type: `string`):

What do you want to scrape?

## `identifier` (type: `string`):

The username (e.g., elonmusk) or Tweet ID.

## `maxItems` (type: `integer`):

Maximum number of items to scrape.

## Actor input object example

```json
{
  "scrapeType": "profile",
  "identifier": "elonmusk",
  "maxItems": 100
}
```

# Actor output Schema

# 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 = {
    "identifier": "elonmusk"
};

// Run the Actor and wait for it to finish
const run = await client.actor("thisismegant/twitter-scraper").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 = { "identifier": "elonmusk" }

# Run the Actor and wait for it to finish
run = client.actor("thisismegant/twitter-scraper").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 '{
  "identifier": "elonmusk"
}' |
apify call thisismegant/twitter-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/uxK1w8YvsprAKBDJ7/builds/ibcCdNBcPjhAK2vfZ/openapi.json