# Twitter/X Post Scraper (`pear_fight/twitter-scraper`) Actor

Scrape Twitter/X tweets, profiles, search results, and trending topics. Extract tweet text, engagement metrics, user data, and conversations for social media monitoring and sentiment analysis.

- **URL**: https://apify.com/pear_fight/twitter-scraper.md
- **Developed by:** [Harald](https://apify.com/pear_fight) (community)
- **Categories:** Social media
- **Features:** Limited permissions
- **Stats:** 281 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Twitter/X Post Scraper

🐦 Scrape tweets from X/Twitter by search query, username, or hashtag.

### Features

- Search by keywords, usernames, or hashtags
- Infinite scroll to collect more tweets
- Extracts engagement metrics (likes, retweets, replies)
- Media extraction (images, videos)
- Playwright with fingerprint injection
- Residential proxy support

### Output Fields

| Field | Description |
|-------|-------------|
| id | Tweet ID |
| text | Tweet text content |
| author | Display name |
| username | @handle |
| likes | Like count |
| retweets | Retweet count |
| replies | Reply count |
| timestamp | ISO timestamp |
| url | Tweet URL |
| media | Array of media URLs |

# Actor input Schema

## `searchQueries` (type: `array`):

Search queries to find tweets. Example: \['AI tools', 'climate change']

## `usernames` (type: `array`):

Twitter usernames to scrape (without @). Example: \['elonmusk', 'OpenAI']

## `hashtags` (type: `array`):

Hashtags to search (without #). Example: \['AI', 'tech']

## `maxTweets` (type: `integer`):

Maximum number of tweets to scrape in total.

## `proxyConfig` (type: `object`):

Proxy configuration. Residential proxies required for X.

## Actor input object example

```json
{
  "maxTweets": 50,
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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("pear_fight/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 = {}

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

```

## MCP server setup

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

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/SPHdSpErnzepUUNa4/builds/6Elwn7tRJgwph4vnH/openapi.json