# Twitter Search Posts Scraper (`data_direct/twitter-posts-scraper`) Actor

Search tweets by keyword with engagement metrics

- **URL**: https://apify.com/data\_direct/twitter-posts-scraper.md
- **Developed by:** [Data Direct](https://apify.com/data_direct) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 1,000 pages

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 Search Posts Scraper

Search for tweets by keyword. Returns tweet content, author username, URL, publication date, engagement metrics (likes, retweets, replies, quotes, bookmarks, views), author info (follower count, verification), language, hashtags, and user mentions. Supports sorting by most recent or relevance. Fetch multiple pages in a single request.

### Features

- Real-time Twitter data — results are fetched live at run time, never cached or stale
- No login, cookies, or proxy configuration needed — just provide the input and run
- Each result is pushed as a separate dataset item, exportable as JSON, CSV, or Excel
- Fast: a typical run finishes in seconds

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `query` | string | yes | Search query (max 500 characters) |
| `pages` | integer | no | Number of pages to fetch and merge into one response (1-10, billed per page) |
| `sort_by` | string | no | Sort order for results One of: most\_recent, relevance. |

### Pricing

This Actor is billed **per page of results** — **$0.006 per page**.

- Results come in pages. Use the `pages` input to choose how many pages to fetch (1–10); more pages means more results.
- You pay $0.006 for each page you fetch, so `pages: 3` costs **$0.018** and `pages: 1` costs **$0.006**.
- You’re only charged when a run succeeds. Failed runs are free.

### Example output

```json
{
  "count": 20,
  "pages": 1,
  "posts": [
    {
      "author": "el_frizensrlq",
      "author_followers": 2521,
      "author_verified": true,
      "bookmarks": 0,
      "date": "2026-04-04 21:32:24",
      "domain": "x.com",
      "hashtags": [],
      "is_quote": false,
      "is_reply": true,
      "lang": "en",
      "likes": 0,
      "quotes": 0,
      "replies": 0,
      "retweets": 0,
      "snippet": "@elonmusk Technology is advancing every day; soon the world will be dominated by artificial intelligence and more.",
      "source": "Twitter (X)",
      "title": "@el_frizensrlq on X",
      "url": "https://twitter.com/el_frizensrlq/status/2040543028255834313",
      "user_mentions": [
        "elonmusk"
      ],
      "views": 7
    },
    {
      "author": "Este5laSOl75383",
      "author_followers": 2,
      "author_verified": false,
      "bookmarks": 0,
      "date": "2026-04-04 21:32:12",
      "domain": "x.com",
      "hashtags": [
        "mecidiyekoeytravesti",
        "sislitravesti"
      ],
      "is_quote": false,
      "is_reply": false,
      "lang": "en",
      "likes": 1,
      "quotes": 0,
      "replies": 0,
      "retweets": 1,
      "snippet": "Just artificial intelligence.\n@#mecidiyekoeytravesti@#sislitravesti@ https://t.co/jf3sNCuLJA",
      "source": "Twitter (X)",
      "title": "@Este5laSOl75383 on X",
      "url": "https://twitter.com/Este5laSOl75383/status/2040542979312472532",
      "user_mentions": [],
      "views": 5
    },
    {
      "author": "Rite_Info",
      "author_followers": 4025,
      "author_verified": false,
      "bookmarks": 1,
      "date": "2026-04-04 21:32:10",
      "domain": "x.com",
      "hashtags": [],
      "is_quote": false,
      "is_reply": false,
      "lang": "en",
      "likes": 2,
      "quotes": 
  ... (truncated)
```

### About

Maintained by **Data Direct** — a small suite of fast, reliable Twitter and web-data scrapers. Each actor returns clean, structured results with no login, cookies, or proxy setup required. Have a question or a custom data need? Open an issue on this actor.

# Actor input Schema

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

Search query (max 500 characters)

## `pages` (type: `integer`):

Number of pages to fetch and merge into one response (1-10, billed per page)

## `sort_by` (type: `string`):

Sort order for results

## Actor input object example

```json
{
  "query": "AI",
  "pages": 1,
  "sort_by": "most_recent"
}
```

# 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 = {
    "query": "AI"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_direct/twitter-posts-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 = { "query": "AI" }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/9A1AiSRnvzeHfSLGX/builds/PsoYum8b2pLBURBab/openapi.json
