# X User Search Scraper | $0.15/1K | Pay-Per-Result (`xquik/x-user-search-scraper`) Actor

Search X (Twitter) users by handle, bio, and location for $0.15 per 1,000 profiles on every Apify plan. Use follower, verification, age, and location filters. Filters and deduplication run before billing. Apify bills platform usage separately. No X login. Built by Xquik. Not affiliated with X Corp.

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

## Pricing

from $0.00015 / profiles

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## X User Search Scraper | $0.15/1K | Pay-Per-Result

Run a Twitter account search by name, username, company, topic, profession, bio,
or location. Apply profile filters across many queries. No X API key or login
required.

### Profile search and filters

- Multiple search terms in one run.
- Minimum and maximum audience and post-count filters.
- Minimum account-age filtering.
- Verified-only and verification-type filters.
- Website and location presence filters.
- Bio, location, and username text filters.
- Per-query and global caps.
- Concurrent queries with source attribution.
- Duplicate profiles are removed before billing.
- Optional saved-cursor continuation for one matching query.

### Input

```json
{
  "searchTerms": ["artificial intelligence", "machine learning"],
  "minFollowers": 1000,
  "verifiedOnly": true,
  "maxItems": 10000
}
```

### Output

Each row is a profile with `resultType: "profile"` and the originating query in
`sourceTarget`. Fields include bio, counts, verification, location, URLs,
images, banner, and account metadata when available.

### Pricing

Every Apify plan costs **$0.15 per 1,000 delivered profiles**. Apify bills your
platform usage separately.

- One charge per delivered dataset row, including at most 1 zero-output
  diagnostic.
- No start, search-term, or page fee.
- Filters and deduplication run before billing.

Use `latest` unless you need an older build. Choose from 50 public tasks or 128
Xquik REST operations. Examples use sample values. Results reflect live data.

### Pagination and recovery

Independent queries run concurrently. Pagination remains ordered inside each
query. Accepted rows, billing state, cursors, and fingerprints survive Apify
migration. The Actor has no self-imposed timeout.

Xquik is an independent third-party service. Not affiliated with X Corp.
"Twitter" and "X" are trademarks of X Corp.

# Actor input Schema

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

Names, usernames, companies, topics, professions, or locations.

## `minFollowers` (type: `integer`):

Keep profiles with at least this many followers.

## `maxFollowers` (type: `integer`):

Keep profiles with no more than this many followers.

## `minFollowing` (type: `integer`):

Keep profiles following at least this many accounts.

## `maxFollowing` (type: `integer`):

Keep profiles following no more than this many accounts.

## `minStatuses` (type: `integer`):

Keep profiles with at least this many posts.

## `maxStatuses` (type: `integer`):

Keep profiles with no more than this many posts.

## `minAccountAgeDays` (type: `integer`):

Keep accounts at least this old.

## `verifiedOnly` (type: `boolean`):

Keep only profiles with an X verification badge.

## `verifiedType` (type: `string`):

Keep profiles with the selected verification type.

## `hasWebsite` (type: `boolean`):

Keep profiles that publish a website.

## `hasLocation` (type: `boolean`):

Keep profiles that publish a location.

## `bioContains` (type: `string`):

Case-insensitive text required in the profile bio.

## `locationContains` (type: `string`):

Case-insensitive text required in the profile location.

## `usernameContains` (type: `string`):

Case-insensitive text required in the username.

## `startCursor` (type: `string`):

Continue one matching query from a saved REST cursor. Pass it unchanged.

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

Global delivered-profile cap across all queries.

## `maxItemsPerTarget` (type: `integer`):

Optional delivered-profile cap for each query.

## `dedupeAcrossTargets` (type: `boolean`):

Return each matching profile once across all queries.

## `maxConcurrency` (type: `integer`):

Parallel independent searches. Leave the default for maximum safe throughput.

## Actor input object example

```json
{
  "searchTerms": [
    "artificial intelligence"
  ],
  "verifiedOnly": false,
  "hasWebsite": false,
  "hasLocation": false,
  "maxItems": 10000,
  "dedupeAcrossTargets": true,
  "maxConcurrency": 100
}
```

# Actor output Schema

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

Unique delivered rows. Filters and deduplication run before billing.

## `runReport` (type: `string`):

Outcome, completion reason, counts, pages, duration, and privacy-safe anomalies.

# 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": [
        "artificial intelligence"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("xquik/x-user-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 = { "searchTerms": ["artificial intelligence"] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,xquik/x-user-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/KD0TYftVytDfbh1bo/builds/ntVyoRaUiToJvgrvH/openapi.json