# Twitter / X Trends Scraper (`akash9078/twitter-x-trends-scraper`) Actor

Scrape Twitter/X trending hashtags and topics for any country, date and hour using Playwright. Handles JS-expanded trends and historical archives.

- **URL**: https://apify.com/akash9078/twitter-x-trends-scraper.md
- **Developed by:** [Akash Kumar Naik](https://apify.com/akash9078) (community)
- **Categories:** Social media, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 scraped 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 / X Trends Scraper

Scrape Twitter/X trending hashtags and topics for any country and hour — real-time or historical — as clean JSON.

### What it does

- 68 locations: Worldwide + 67 countries (USA, UK, India, Brazil, Japan…)
- Historical archive: any date since 2024-05-15 at hourly resolution (UTC)
- Playwright rendering: expands hidden "See All 49" rows that HTTP scrapers miss
- Optional extras: Top Hashtags 24h sidebar + per-trend detail enrichment
- Pay-per-event pricing: charged only for successfully delivered results
- AI / MCP ready: compatible with agentic workflows

### Pricing

**Model:** Pay per event · **Active from:** August 23, 2026 · **Platform usage costs:** paid by the developer, not passed on to users.

| Event | Price | Charged when |
|---|---|---|
| `trends-scraped` | $5.00 / 1,000 ($0.005) | A trends snapshot is saved (up to 50 ranked trends) |
| `top-hashtags-scraped` | $2.50 / 1,000 ($0.0025) | Top Hashtags 24h sidebar is captured |
| `trend-detail-enriched` | $2.50 / 1,000 ($0.0025) | Each trend detail page enriched (max 10) |

A platform-managed `apify-actor-start` event ($0.00005) covers run startup. Invalid input never produces hidden charges. Set a **Max total charge USD** limit on any run for hard cost control.

### Input

```json
{
    "country": "united-states",
    "date": "",
    "hour": "now",
    "maxItems": 50,
    "includeTopHashtags": false,
    "includeTrendDetails": false,
    "proxyConfiguration": { "useApifyProxy": true }
}
```

All fields optional. Set `date: "2026-08-21"` and `hour: "18"` for an archive snapshot.

### Output

```json
{
    "rank": 1,
    "name": "#WorldCupFinal",
    "country": "united-states",
    "date": "2026-08-23",
    "hour": "now",
    "scrapedAt": "2026-08-23T14:32:01.482Z"
}
```

Enriched items add `detailTitle`, `highestRank`, `detailDescription`. Top-hashtag items carry `"source": "top_hashtags_24h"`.

### Use cases

- Social listening, brand & PR monitoring per market
- Newsroom retrospectives and fact-checking ("what trended at 9pm on May 3?")
- AI agents / RAG pipelines needing structured trend snapshots
- Marketing analytics across countries and time

### Tips

- Enable Apify Proxy (`useApifyProxy: true`) for reliable production runs.
- Set **Max total charge USD** on the run to cap spend; the Actor respects it.
- Schedule hourly runs to build a continuous multi-country trend time series.
- Compatible with Apify agentic payments (x402 / Skyfire) for autonomous AI workflows.

# Actor input Schema

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

Country or region slug. Use 'worldwide' for global trends. Aliases: usa, us, uk, uae.

## `date` (type: `string`):

Optional historical date. Leave empty for today/now. Must be >= 2024-05-15. Example: 2026-08-21

## `hour` (type: `string`):

Hour to scrape: 'now' or 1-23. 'now' = current hour. Values like '23h' also accepted but stored as int. Use with date for historical archive.

## `maxItems` (type: `integer`):

Maximum trends to return. Site shows 49-50 per hour. Use 0 or empty for all.

## `includeTopHashtags` (type: `boolean`):

Also scrape the sidebar Top Hashtags 24h (Most Tweeted / Longest Trending) if present.

## `includeTrendDetails` (type: `boolean`):

Visit each trend's detail page (/trend/...) to enrich with highest rank and tweet volume. Slower, more requests.

## `proxyConfiguration` (type: `object`):

Proxy for anti-blocking. Recommended to enable Apify Proxy for production.

## Actor input object example

```json
{
  "country": "worldwide",
  "hour": "now",
  "maxItems": 50,
  "includeTopHashtags": false,
  "includeTrendDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `trends` (type: `string`):

Ranked Twitter/X trending hashtags and topics for the requested country, date and hour. Items with source=top\_hashtags\_24h are sidebar Top Hashtags entries.

## `summary` (type: `string`):

JSON summary of the run: trend count, top-hashtag count, enrichment count, and total amount charged via pay-per-event.

## `debugPage` (type: `string`):

Saved page HTML when zero trends were extracted — useful to diagnose selector changes or blocked pages.

# 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 = {
    "country": "worldwide",
    "date": "",
    "hour": "now",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("akash9078/twitter-x-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 = {
    "country": "worldwide",
    "date": "",
    "hour": "now",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("akash9078/twitter-x-trends-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 '{
  "country": "worldwide",
  "date": "",
  "hour": "now",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call akash9078/twitter-x-trends-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,akash9078/twitter-x-trends-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/babi8yQj7UBpbLrgf/builds/eqK9YeZZlU6cbKpyQ/openapi.json