# Twitter / X Scraper (Profiles, Tweets, Communities) (`signalqub/my-actor-1`) Actor

Extract comprehensive data from Twitter/X without logging in. Instantly scrape user profiles, timelines, specific tweets, communities, and generate AI video transcripts into clean, structured data.

- **URL**: https://apify.com/signalqub/my-actor-1.md
- **Developed by:** [OluwaNifemi Jacob](https://apify.com/signalqub) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## 🚀 Ultimate Twitter / X Scraper (Zero-Auth)

[![Powered by SignalQub](https://img.shields.io/badge/Powered%20By-SignalQub%20API-blue?style=flat-square)](https://signalqub.com)
[![Status](https://img.shields.io/badge/Status-Active%20%26%20Maintained-green?style=flat-square)](https://signalqub.com)

Scraping Twitter (X) has become incredibly difficult. Strict rate limits, forced logins, and complex GraphQL APIs break most traditional scrapers. **This scraper bypasses all of that.**

Powered by the **[SignalQub Data Engine](https://signalqub.com/endpoints/twitter)**, the Ultimate Twitter / X Scraper is a lightning-fast, zero-authentication data extractor. Simply input a profile handle, tweet URL, or community link, and instantly get clean, structured data back. No proxies to configure, no session cookies to inject, and absolutely zero risk to your personal Twitter account.

***

### 🌟 Key Features

- **Zero Authentication Required:** Never log in. Never risk your account getting banned or rate-limited.
- **Bypass Anti-Bot Restrictions:** We handle the headless browsing, proxy rotation, and GraphQL token management under the hood via **[SignalQub](https://signalqub.com)**.
- **AI Video Transcripts:** Uniquely capable of extracting and generating text transcripts from Twitter videos and audio spaces.
- **Unified Output:** All endpoints map to a clean, highly readable 5-column table structure, ready for export to Excel, CSV, or your database.

***

### 🎯 What Can You Scrape?

Select from 6 powerful extraction modes:

1. **User Profile (`profile`)**: Extract bios, follower/following counts, metrics, and profile pictures from any public X handle.
2. **User Tweets (`profile_tweets`)**: Pull a feed of the latest tweets published by a specific user, including likes, retweets, and full text.
3. **Single Tweet Details (`tweet`)**: Provide a direct link to a tweet and extract the exact text, author details, and engagement metrics.
4. **AI Tweet Transcript (`tweet_transcript`)**: Pass a tweet containing a video or audio clip, and receive a full text transcript of the media.
5. **Community Details (`community`)**: Extract metadata, member counts, and descriptions from X Communities.
6. **Community Tweets (`community_tweets`)**: Pull the timeline of tweets posted inside a specific Twitter Community.

***

### 🛠️ Input Configuration

| Field | Type | Description |
| :--- | :--- | :--- |
| **Endpoint Mode** | `Select` | Choose what you want to scrape (Profile, Tweets, Community, Transcript, etc.) |
| **Target** | `String` | The target `@handle` (for profiles) or full X URL (for tweets and communities). |
| **Trim Payload** | `Boolean` | Cleans out heavy GraphQL metadata to return a simplified, readable JSON object. |
| **Cache Max Age** | `String` | *(Optional)* Accept cached data if newer than this value (e.g., `1d`, `3d`). Speeds up extraction. |

***

### 📊 Output Structure

To keep your datasets clean and easy to integrate, this scraper normalizes all data into a standardized **5-Column Schema**. Whether you scrape a community feed or a profile, the data fits perfectly into spreadsheets or downstream databases.

**Example Output (User Tweets):**

````json
[{
  "author": "@elonmusk",
  "content": "Excited to announce the latest updates to the platform...",
  "metrics": "Likes: 245000 | RTs: 45000",
  "url": "[https://x.com/i/web/status/123456789](https://x.com/i/web/status/123456789)...",
  "media": ""
}]

# Actor input Schema

## `mode` (type: `string`):

Select the Twitter API endpoint you want to call.
## `target` (type: `string`):

Enter the target @handle (for profiles) or full X URL (for tweets/communities).
## `limit` (type: `integer`):

Max items to return (for tweets).
## `trim` (type: `boolean`):

Clean out heavy GraphQL metadata to return a simplified JSON object.
## `cache_max_age` (type: `string`):

Accept cached data if newer than this value (e.g., '1d', '3d', '7d'). Saves credits.

## Actor input object example

```json
{
  "mode": "profile",
  "target": "elonmusk",
  "limit": 20,
  "trim": true
}
````

# Actor output Schema

## `results` (type: `string`):

The mapped Twitter data stored in the default dataset.

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

// Run the Actor and wait for it to finish
const run = await client.actor("signalqub/my-actor-1").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 = { "target": "elonmusk" }

# Run the Actor and wait for it to finish
run = client.actor("signalqub/my-actor-1").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "target": "elonmusk"
}' |
apify call signalqub/my-actor-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,signalqub/my-actor-1"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Bc2FVrSrTqOTh7xjZ/builds/KPzFz37Wx7MLremze/openapi.json