# Twitter Trends Scraper (`powerai/twitter-trends-scraper`) Actor

Fetch trending topics for any country on Twitter, with detailed trend information. Supports up to your specified maxResults.

- **URL**: https://apify.com/powerai/twitter-trends-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 101 total users, 7 monthly users, 97.8% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 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/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 Trends Scraper

This actor allows you to fetch trending topics for a specific country on Twitter. It uses the latest Twitter API interface to collect up to the number of trends you specify.

### Features

- Fetches trending topics for any country on Twitter.
- Allows you to specify the maximum number of results (`maxResults`).
- Returns detailed information for each trending topic.

### Supported Countries

You can select from the following countries:

- UnitedStates
- China
- India
- Japan
- Russia
- Germany
- Indonesia
- Brazil
- France
- UnitedKingdom
- Turkey
- Italy
- Mexico
- SouthKorea
- Canada
- Spain
- SaudiArabia
- Egypt
- Australia
- Poland
- Iran
- Pakistan
- Vietnam
- Nigeria
- Bangladesh
- Netherlands
- Argentina
- Philippines
- Malaysia
- Columbia
- UnitedArabEmirates
- Romania
- Belgium
- Switzerland
- Singapore
- Sweden
- Norway
- Austria
- Kazakhstan
- Algeria
- Chile
- Czechia
- Peru
- Iraq
- Israel
- Ukraine
- Denmark
- Portugal
- Hungary
- Greece
- Finland
- NewZealand
- Bulgaria
- Belarus
- Slovakia
- Serbia
- Lithuania
- Luxembourg
- Estonia

### Input

- **country** (string, required): The country for which you want to fetch trends. Must be one of the supported countries above.
- **maxResults** (integer, optional): Maximum number of trends to fetch. Default is 30.

### Output

The output is an array of trend objects, each containing:

- `name`
- `description`
- `context`

### Example Input

```json
{
  "country": "1",
  "maxResults": 50
}
```

### Example Output

```json
[
	{
		"name": "Hawaii",
		"description": "37.3K posts",
		"context": "Travel · Trending",
		"scrapedAt": "2025-05-30T01:45:46.981Z"
	},
	...
]
```

### Notes

- The actor will return up to the specified `maxResults` number of trends.
- Country code '1' represents worldwide trends.

# Actor input Schema

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

Select the country for which you want to fetch Twitter trends.

## `maxResults` (type: `integer`):

Maximum number of trends to fetch.

## Actor input object example

```json
{
  "country": "UnitedStates",
  "maxResults": 50
}
```

# 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("powerai/twitter-trends-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("powerai/twitter-trends-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 '{}' |
apify call powerai/twitter-trends-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/dN7chLDMrEwdIVpKa/builds/PXiM7sFPxgSRDdtiF/openapi.json