# Twitter (X.com) Search Export (No Login) to Excel (`monumental_world/twitter-search`) Actor

Instantly turn Twitter (X) search results into an Excel or CSV report. No coding required—perfect for sales intelligence, lead generation, and competitive research.

- **URL**: https://apify.com/monumental\_world/twitter-search.md
- **Developed by:** [Raised Pro](https://apify.com/monumental_world) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 47 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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/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.com) Search Export (No Login) to Excel

### Need to download Twitter (X.com) data to Excel?

This tool helps you extract Twitter search results directly into a spreadsheet—no coding, no login required. Perfect for agencies, business owners, and sales teams who need to track mentions, analyze competitors, and discover new leads on Twitter (X.com). Simply enter your search term, click start, and download your data in seconds.

### Step-by-Step Guide

**Step 1:** Enter your search query (like ""Mr Beast"" or any keyword you want to track on Twitter)

**Step 2:** Click ""Start"" to begin extracting data—no Twitter account or login needed

**Step 3:** Download your results as Excel, CSV, or XML and open it in your favorite spreadsheet tool

### What columns will I get?

Your download will include the following columns:

- **Tweet URL** - Direct link to each tweet
- **Author Handle** - The @username of the person who posted
- **Author Display Name** - The full name shown on their profile
- **Author Followers** - How many followers the author has
- **Tweet Text** - The complete text content of the tweet
- **Retweet Count** - Number of times the tweet was retweeted
- **Likes Count** - Total likes the tweet received
- **Reply Count** - Number of replies to the tweet
- **Quote Tweet Count** - How many times it was quote tweeted
- **Posted Timestamp** - Exact date and time the tweet was published
- **Has Media** - Whether the tweet includes images or videos
- **Impression Count** - Total number of times the tweet was viewed

### How to use this data

**Build a lead generation database:** Filter tweets by follower count and engagement to identify influential accounts in your industry. Reach out to high-engagement users who are already talking about topics relevant to your business.

**Track competitive intelligence:** Monitor what your competitors are saying and how their audience responds. Sort by retweet and like counts to see which messages resonate most with their followers.

**Identify trending topics and opportunities:** Export real-time mentions of industry keywords to spot emerging trends before your competition. Use impression counts and engagement metrics to prioritize which conversations to join.

### Input Settings

**Search Query:** Enter any keyword, hashtag, or phrase you want to search for on Twitter (X.com).

For example:

- Type ""Mr Beast"" to find all tweets mentioning that creator
- Use ""#TechNews"" to track a specific hashtag
- Search ""AI breakthrough"" to monitor industry conversations

The tool will find all matching tweets and export them to your spreadsheet.

### Frequently Asked Questions

**Q: Do I need a Twitter (X.com) account?**\
A: No! This tool works without any login. Just enter your search term and start downloading data.

**Q: Can I open this in Google Sheets?**\
A: Yes, absolutely. Just upload the CSV file to Google Sheets and you're ready to analyze your data.

**Q: How recent are the tweets?**\
A: The tool captures real-time search results, so you'll get the most current tweets matching your query.

**Q: Can I filter the results?**\
A: Once you have your Excel or CSV file, you can use standard spreadsheet filters to sort by engagement, date, follower count, or any other column.

***

*Keywords: twitter scraper, twitter search scraper, x search scraper, export tweets, tweet data extraction, twitter lead generation, twitter data extractor*"

# Actor input Schema

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

Search query

## `section` (type: `string`):

Section: top, latest, people, photos, videos

## `maxPages` (type: `integer`):

Maximum number of pages to fetch (pagination handled automatically)

## Actor input object example

```json
{
  "query": "new york",
  "section": "top",
  "maxPages": 1
}
```

# 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("monumental_world/twitter-search").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("monumental_world/twitter-search").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 monumental_world/twitter-search --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/OZcv2UjcUw0JaPgl2/builds/rxfANy217KyG0T8yz/openapi.json