# Twitter Timeline \[Legacy] (`danek/twitter-timeline`) Actor

Scrap Twitter timeline 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-timeline.md
- **Developed by:** [Jan Danecki](https://apify.com/danek) (community)
- **Categories:** Lead generation, Social media
- **Features:** Full permissions
- **Stats:** 489 total users, 2 monthly users, 100.0% runs succeeded, 13 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.25 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## X (Twitter) Timeline Scraper

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

### Ultra fast and super light.

Our Twitter Scraper is designed to be as fast and efficient as possible. It is optimized to use as little memory as possible.

It can operate with just 128MB of memory, which is the lowest setting available on the Apify platform thus making it the most cost-effective solution for scraping Twitter posts.
It also reduce network traffic resulting in another cost saving.

### Cost

Our Twitter Timeline Scraper is available for $10 per month, plus run costs. You can take advantage of a free trial for a few days to assess its suitability for your needs.

If you are already subscribed to an Apify plan, run cost may be included. Refer to [apify pricing page](https://apify.com/pricing) for detailed information.

For cost optimization, the scraper can be run on the lowest settings (128MB memory).

Iy you need to scrap smaller number of posts checkout [pay per result](https://apify.com/danek/twitter-timeline-ppr) model.

### Profile Scraper

If you want to scrape profile info, check our [Twitter Profile Scraper](https://apify.com/danek/twitter-profile).

Do you need custom solution? [Contact us](mailto:kontakt@danek.tech?subject=Custom%20Scrapper)!

### Output

```json
[
    {
        "tweet_id": "",
        "bookmarks": 0,
        "created_at": "Fri Jan 26 15:44:36 +0000 2024",
        "favorites": 0,
        "text": "",
        "lang": "",
        "views": "100",
        "quotes": 0,
        "replies": 0,
        "retweets": 0,
        "conversation_id": "1000000",
        "media": [],
        "author": {
            "rest_id": "1000000",
            "name": "",
            "screen_name": "",
            "avatar": "",
            "blue_verified": false
        }
    }
    // ...
]
```

## Cheap and fast Facebook Scrapers

#### Try our Scrappers:

- [Facebook Events Scraper Lite](https://apify.com/danek/facebook-page-events-lite)
- [Facebook Groups Scraper Lite](https://apify.com/danek/facebook-groups-lite)

### Roadmap

We are actively working to increase this efficiency.

Do you need something ASAP?
Do you need any other feature?

Let us know in issue section!

# Actor input Schema

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

Twitter username (those with @) to scrape

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

Number of posts to scrape. Upper limit is set to 200. Contact support for higher limits.

## Actor input object example

```json
{
  "username": "unusual_whales",
  "max_posts": 5
}
```

# 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": "unusual_whales",
    "max_posts": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("danek/twitter-timeline").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": "unusual_whales",
    "max_posts": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("danek/twitter-timeline").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 '{
  "username": "unusual_whales",
  "max_posts": 5
}' |
apify call danek/twitter-timeline --silent --output-dataset

```

## MCP server setup

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

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/SfyC2ifoAKkAUvjTt/builds/MBIH7h33oJP3vxR1o/openapi.json