# X (Twitter) Advanced Search Scraper — Full Operators (`korado_labs/x-advanced-search-scraper`) Actor

Scrape X (Twitter) advanced search: keywords, exact phrases, from/to users, dates, min likes/retweets, language and more. Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

- **URL**: https://apify.com/korado\_labs/x-advanced-search-scraper.md
- **Developed by:** [Korado Labs](https://apify.com/korado_labs) (community)
- **Categories:** Social media, Automation, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.35 / 1,000 tweet scrapeds

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?

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

## X (Twitter) Advanced Search Scraper

Search X/Twitter with the **full power of advanced search** and get back clean
tweets with **complete engagement metrics** and **enriched author profiles** —
no cookies, no login.

### Two ways to search

1. **Write a query** in the `query` field using normal words and X operators
   (`from:elonmusk`, `min_faves:100`, `filter:images`, `since:2026-01-01`,
   `"exact phrase"`, `-exclude`, `#hashtag`, `$TSLA`).
2. **Use the filters** — from/to users, keywords, exact phrases, hashtags,
   cashtags, engagement floors, media types, language, date ranges — and the
   actor composes the query for you. You can combine both.

```json
{
  "query": "AI agents",
  "contentLanguage": "en",
  "engagementMinLikes": 100,
  "search_type": "Top",
  "numberOfTweets": 200
}
```

### What you get per tweet

Text, URL, created-at, language, **likes / retweets / replies / quotes /
bookmarks / views**, reply/quote/retweet flags, conversation id, hashtags, and
a nested **author** object (handle, name, verified/blue, followers, following,
tweet count, bio, location, join date, avatar).

### Pricing (pay per event)

- **Tweet delivered** — $0.0025 each. Failed and demo runs charge nothing.
- **Actor start** — $0.01 once per run.

### Notes

- Cookieless — runs against a pool-based X API provider. Bring your own key via
  `apiKey` (optional) or use the built-in provider account.
- `search_type`: `Latest` (newest) or `Top` (most relevant).
- `scrapeAll: true` pages through all matching results.

# Actor input Schema

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

A search query. Accepts plain words and native X operators (from:, min\_faves:, filter:images, since:, until:, #tag, "exact phrase", -exclude). Leave empty and use the filters below to build one automatically.

## `search_type` (type: `string`):

Latest = newest first; Top = most relevant/engaged.

## `numberOfTweets` (type: `integer`):

Maximum tweets to return.

## `scrapeAll` (type: `boolean`):

Page through everything the query returns (ignores the number cap).

## `contentKeywords` (type: `array`):

Words that must appear.

## `contentExactPhrases` (type: `array`):

Exact phrases (quoted).

## `contentExcludeKeywords` (type: `array`):

Words that must NOT appear.

## `contentHashtags` (type: `array`):

Hashtags (with or without #).

## `contentExcludeHashtags` (type: `array`):

Hashtags to exclude.

## `contentCashtags` (type: `array`):

Cashtags like TSLA (with or without $).

## `contentLanguage` (type: `string`):

ISO language code, e.g. en, es, ja.

## `usersFromUsers` (type: `array`):

Only tweets from these accounts.

## `usersToUsers` (type: `array`):

Only replies to these accounts.

## `usersMentionUsers` (type: `array`):

Tweets mentioning these accounts.

## `usersExcludeFromUsers` (type: `array`):

Exclude tweets from these accounts.

## `usersListMembers` (type: `array`):

Tweets from members of these list ids.

## `usersBlueVerifiedOnly` (type: `boolean`):

Only Blue-verified authors.

## `usersVerifiedOnly` (type: `boolean`):

Only verified authors.

## `engagementLevel` (type: `string`):

Quick minimum-likes floor: low=10, medium=100, high=1000, viral=10000.

## `engagementMinLikes` (type: `integer`):

Minimum likes.

## `engagementMaxLikes` (type: `integer`):

Maximum likes.

## `engagementMinRetweets` (type: `integer`):

Minimum retweets.

## `engagementMaxRetweets` (type: `integer`):

Maximum retweets.

## `engagementMinReplies` (type: `integer`):

Minimum replies.

## `engagementMaxReplies` (type: `integer`):

Maximum replies.

## `engagementHasEngagement` (type: `boolean`):

At least one like, retweet or reply.

## `mediaTypes` (type: `array`):

e.g. images, videos, media.

## `mediaHasLinks` (type: `boolean`):

Tweets containing links.

## `mediaHasMentions` (type: `boolean`):

Tweets that mention someone.

## `mediaHasHashtags` (type: `boolean`):

Tweets that contain hashtags.

## `mediaNewsOnly` (type: `boolean`):

Only tweets linking news.

## `mediaSafeContentOnly` (type: `boolean`):

Exclude sensitive content.

## `tweetTypes` (type: `array`):

e.g. replies, retweets, quotes.

## `tweetTypesExclude` (type: `array`):

e.g. replies, retweets.

## `tweetConversationId` (type: `string`):

Tweets within one conversation thread.

## `tweetQuotedTweetId` (type: `string`):

Tweets quoting a specific tweet.

## `since` (type: `string`):

YYYY-MM-DD lower bound.

## `until` (type: `string`):

YYYY-MM-DD upper bound.

## `apiKey` (type: `string`):

Optional: your own TwitterAPI/GetXAPI key. If omitted, the actor uses its built-in provider account.

## Actor input object example

```json
{
  "query": "apify",
  "search_type": "Latest",
  "numberOfTweets": 100,
  "scrapeAll": false,
  "engagementLevel": "none"
}
```

# Actor output Schema

## `results` (type: `string`):

Matching tweets with engagement metrics and author profiles.

# 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": "apify"
};

// Run the Actor and wait for it to finish
const run = await client.actor("korado_labs/x-advanced-search-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": "apify" }

# Run the Actor and wait for it to finish
run = client.actor("korado_labs/x-advanced-search-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 '{
  "query": "apify"
}' |
apify call korado_labs/x-advanced-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,korado_labs/x-advanced-search-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/1VETQXqENbjcUlOMy/builds/sPZBaTrvR8faGKXg2/openapi.json