# 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?

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

## 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