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

Scrap Twitter fast and easy. It is designed to be fast and efficient, so it can extract a large number of post for low price.

- **URL**: https://apify.com/danek/twitter-scraper.md
- **Developed by:** [Jan Danecki](https://apify.com/danek) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 7,210 total users, 633 monthly users, 100.0% runs succeeded, 174 bookmarks
- **User rating**: 4.72 out of 5 stars

## Pricing

from $0.24 / 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

## X (Twitter)  Scraper

Scrap all necessary data from Twitter in no-time.  No need for a Twitter account.

## Important Notice

Free users are limited to 20 results per run.

Consider subscribing to a plan at - https://apify.com/pricing

## Features

- scrap user posts
- scrap search results
- scrap trends from given country
- scrap tweet responses

## Usage notes

- each of search section performs different search:
  - Profile - reads all posts by given user
  - Search - reads all posts from search query
  - Trends - reads all posts from trending topics in given country
  - Responses - reads all responses to given tweet

If you want to search post from given user you need to include it in search query.

For example:

```json
{
  "search": "from:elonmusk"
}
```

## Costs

Just $0.3 per 1000 results.

Do you want to read huge amount of data? [Contact me](mailto:kontakt@danek.tech?subject=Twitter%20Scraper) for a custom plan.

#### Try our Scrappers:

- [Facebook Search](https://apify.com/danek/facebook-search-rental)
- [Facebook Events](https://apify.com/danek/facebook-page-events-lite)
- [Facebook Groups](https://apify.com/danek/facebook-groups-lite)
- [Facebook Pages](https://apify.com/danek/facebook-pages-details-rental)
- [Facebook Posts](https://apify.com/danek/facebook-posts-lite)
- [other scrappers](https://apify.com/danek)

# Actor input Schema

## `username` (type: `string`):

Twitter username (those with @) to scrape

## `query` (type: `string`):

Query to search

## `search_type` (type: `string`):

Type of search

## `country` (type: `string`):

Country to check trends.

## `post_id` (type: `string`):

Post id to scrape response

## `lookup_post_ids` (type: `array`):

Post ids to scrape details

## `max_posts` (type: `integer`):

Number of posts to scrape. For free users is set to 20

## Actor input object example

```json
{
  "username": "elonmusk",
  "query": "Twitter",
  "search_type": "Top",
  "country": "Portugal",
  "post_id": "1877645134780629107",
  "lookup_post_ids": [
    "1877645134780629107"
  ],
  "max_posts": 20
}
```

# 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 = {
    "username": "elonmusk",
    "max_posts": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("danek/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 = {
    "username": "elonmusk",
    "max_posts": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("danek/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 '{
  "username": "elonmusk",
  "max_posts": 20
}' |
apify call danek/twitter-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ghSpYIW3L1RvT57NT/builds/9ExOKaDeCYIu8ILa6/openapi.json