# Ubersuggest Scraper (`bovi/ubersuggest-scraper`) Actor

Extract keyword and domain SEO metrics from neilpatel.com

- **URL**: https://apify.com/bovi/ubersuggest-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.36 / 1,000 ubersuggest scrapers

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

## Ubersuggest Scraper

Extract keyword and domain SEO metrics from neilpatel.com

### What it does

Ubersuggest Scraper is a data-collection tool for the seo tools and marketing category. The inputs let you set the scope and preferences for a run, while the results provide organized records that are easier to review and use.

### Input

Provide the values that define the scope and preferences for the run. Review each option before starting so the resulting dataset matches the information you want to analyze or reuse.

| Name | Type | Description | Default |
| --- | --- | --- | --- |
| country | string | Country code | "us" |
| language | string | Language code | "en" |
| maxItems | integer | Maximum number of items to return | 100 |
| mode | string | Scrape mode: keyword or domain | "keyword" |
| proxyConfiguration | object | Proxy settings for the scraper | {"useApifyProxy":true,"apifyProxyGroups":\["RESIDENTIAL"]} |
| queries | array | Array of keywords or domains to scrape | — |
| startUrls | array | Direct neilpatel.com/ubersuggest URLs | — |

### Output

A successful run produces a dataset of structured items collected according to your inputs. You can review the records, use them in analysis, or pass them to another part of your workflow. The exact fields depend on the source data and the options selected for the run.

### Usage

1. Open the actor page.
2. Fill in the input values and review the configuration.
3. Run the actor and wait for the collection to finish.
4. Download the results from the dataset and use the records in your preferred workflow.

### Pricing

Pricing is pay-per-event, so you pay only for results.

# Actor input Schema

## `queries` (type: `array`):

Array of keywords or domains to scrape

## `startUrls` (type: `array`):

Direct neilpatel.com/ubersuggest URLs

## `mode` (type: `string`):

Scrape mode: keyword or domain

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

Country code

## `language` (type: `string`):

Language code

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

Maximum number of items to return

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

Proxy settings for the scraper

## Actor input object example

```json
{
  "mode": "keyword",
  "country": "us",
  "language": "en",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset with the scraped records.

# 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("bovi/ubersuggest-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("bovi/ubersuggest-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 '{}' |
apify call bovi/ubersuggest-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bovi/ubersuggest-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/GJjWWP4HP814QyP0I/builds/k6Gwq40nXEcgFmW4m/openapi.json