# Twitter X Scraper (`blueskyscraper/twitter-x-scraper`) Actor

Scrape X (Twitter) without an account, cookies or API key: tweets from search (latest, top or media, every X search operator) and any profile's timeline with likes, retweets, replies, quotes, bookmarks, views, photos, videos and author followers. JSON, CSV, Excel.

- **URL**: https://apify.com/blueskyscraper/twitter-x-scraper.md
- **Developed by:** [BlueskyScraper](https://apify.com/blueskyscraper) (community)
- **Categories:** Social media, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.22 / 1,000 tweets

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/actors/running/actors-in-store.md#pay-per-event

## 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 Scraper** extracts tweets from **X (Twitter)** without an X account, API key or cookies: search with every X search operator, and the timeline of any public profile, with likes, retweets, replies, quotes, bookmarks, views, photos, videos and author data. **$0.32 per 1,000 tweets, no start fee.**

### What can you scrape?

- 🔍 **Search** — the Latest, Top or Media tab for any query: keywords, `#hashtags`, `from:user`, `to:user`, `"exact phrase"`, `min_faves:100`, `since:2026-10-01`, `until:`, `lang:en`, `filter:links` and more.
- 👤 **Profiles** — a profile's tweets, newest first, pinned tweet included, with retweets marked.
- 🔔 **Monitoring mode** — schedule it and get only tweets that are new since the last run.

For social listening, brand and competitor monitoring, crypto and market sentiment, lead generation and AI training data.

### How much does it cost?

| Row | Price |
|---|---|
| **Tweet** | $0.00032 — $0.32 per 1,000 |

No start fee, no proxy or compute charge on top. Error rows are never billed. **Maximum rows per run** is a hard ceiling on the bill.

Other X scrapers in the Store charge $0.15–$0.40 per 1,000 tweets. 10,000 tweets cost $3.20.

### ⬇️ Input

```json
{
    "searchTerms": ["openai", "#bitcoin min_faves:50", "from:nasa since:2026-10-01"],
    "handles": ["@elonmusk", "https://x.com/OpenAI"],
    "searchType": "latest",
    "maxResultsPerInput": 500
}
```

### ⬆️ Output

```json
{
    "type": "tweet",
    "id": "2113776971603689874",
    "url": "https://x.com/NASA/status/2113776971603689874",
    "text": "We are not slowing down. 🚀\n\nOur Artemis III mission will send four astronauts to low Earth orbit next year to test critical systems need…",
    "lang": "en",
    "createdAt": "2026-10-23T23:37:56.000Z",
    "likes": 7315,
    "retweets": 959,
    "replies": 327,
    "quotes": 82,
    "bookmarks": 335,
    "views": 1263952,
    "isReply": false,
    "isQuote": false,
    "isRetweet": false,
    "isPinned": true,
    "conversationId": "2113776971603689874",
    "videoUrls": [
        "https://video.twimg.com/amplify_video/2113776813121941504/vid/avc1/1920x1080/oa29OYgVBG7qAyEB.mp4?tag=16"
    ],
    "authorHandle": "NASA",
    "authorName": "NASA",
    "authorId": "11348282",
    "authorFollowers": 92312450,
    "authorVerified": true,
    "authorBio": "Making the seemingly impossible, possible. ✨",
    "authorLocation": "Pale Blue Dot",
    "source": "profile"
}
```

### FAQ

#### Do I need an X account or the X API?

No. No login, no developer account, no $100+ API plan.

#### Can I get replies to a tweet?

Search `conversation_id:<tweet id>` or `to:<handle>` to collect replies as tweets.

#### How far back can I go?

Use `since:` and `until:` in the search term to target any date range X search covers.

#### Is it legal?

The Actor reads public tweets only. Handles and tweets can be personal data under the GDPR — have a lawful reason to process them.

# Actor input Schema

## `searchTerms` (type: `array`):

Anything you would type in X search, operators included: <code>openai</code>, <code>#bitcoin</code>, <code>from:nasa</code>, <code>"climate tech" min_faves:100</code>, <code>bali since:2026-10-01</code>.

## `handles` (type: `array`):

Handle or profile link: <code>nasa</code>, <code>@elonmusk</code>, <code>https://x.com/OpenAI</code>. Returns the profile's tweets, newest first, pinned tweet included.

## `searchType` (type: `string`):

Search: which tab of results.

## `maxResultsPerInput` (type: `integer`):

Cap for each search or profile: tweets per search term or profile.

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

Stop after this many rows in the whole run — a hard ceiling on cost.

## `monitoringStoreName` (type: `string`):

Give the run a name (e.g. <code>brand-mentions</code>) and every later run with the same name returns <b>only rows it has not delivered before</b>. Empty = normal run.

## Actor input object example

```json
{
  "searchTerms": [
    "openai"
  ],
  "searchType": "latest",
  "maxResultsPerInput": 50,
  "maxItems": 10000
}
```

# Actor output Schema

## `rows` (type: `string`):

One row per result; error rows explain inputs that could not be read.

# 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 = {
    "searchTerms": [
        "openai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("blueskyscraper/twitter-x-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 = { "searchTerms": ["openai"] }

# Run the Actor and wait for it to finish
run = client.actor("blueskyscraper/twitter-x-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 '{
  "searchTerms": [
    "openai"
  ]
}' |
apify call blueskyscraper/twitter-x-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blueskyscraper/twitter-x-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/HudLPYgn5OoBKiSHp/builds/9xtPfxzopHsd9vDQp/openapi.json