# Perplexity Related Questions Scraper (`searchapi/perplexity-related-questions-scraper`) Actor

Scrapes related/follow-up questions from Perplexity search results (perplexity.ai/search). Extracts follow-up questions that appear alongside AI answers.

- **URL**: https://apify.com/searchapi/perplexity-related-questions-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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

## Perplexity Related Questions Scraper

Scrapes related/follow-up questions from Perplexity search results (perplexity.ai/search). Extracts follow-up questions that appear alongside AI answers.

### What this Actor collects

The Actor converts the follow-up questions exposed alongside a Perplexity answer into individual, query-linked JSON records.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 9-field dataset schema.
- Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

### Use cases

- Follow-up question discovery
- Prompt and content research
- Answer-journey analysis

### Input

Provide input in JSON. Fields marked required must be supplied; source-specific alternatives and constraints are described in the field text.

| Field | Type | Required | Default | Description |
| --- | --- | :---: | --- | --- |
| `query` | string | Yes | `"What is quantum computing?"` | The search query to get related/follow-up questions for. |
| `maxItems` | integer | No | `10` | Maximum number of related questions to scrape. |
| `queries` | array | No | `[]` | Optional array of additional queries to scrape in batch mode. |
| `focusMode` | string | No | `"web"` | Perplexity's focus mode (search scope). |
| `model` | string | No | `""` | Optional model override. Leave empty for default. |
| `language` | string | No | `"en-US"` | Language code for the answer locale. |
| `proxyConfiguration` | object | No | `{"useApifyProxy":true}` | Proxy settings. Residential proxies are recommended — Perplexity aggressively blocks datacenter IPs. |

#### Example input

```json
{
  "query": "What are the main causes of climate change?",
  "maxItems": 10,
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "focusMode": "web"
}
```

### Output

The default dataset contains one item per related or follow-up question. The following are the most useful fields; availability can vary by source response.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `query` | string | Search Query |
| `question` | string | Related Question |
| `questionType` | string | Question Type |
| `searchUrl` | string | Search URL |
| `focusMode` | string | Focus Mode |
| `model` | string | Requested Model |
| `language` | string | Requested Language |
| `scrapedAt` | string | Scraped At |

<details>
<summary>All 9 declared dataset fields</summary>

`position`, `query`, `question`, `questionType`, `searchUrl`, `focusMode`, `model`, `language`, `scrapedAt`

</details>

#### Example dataset item

This compact example is taken from local Actor storage. Long text and nested collections are shortened for documentation only.

```json
{
  "position": 1,
  "query": "What are the main causes of climate change?",
  "question": "Can you explain the greenhouse effect and how it traps heat in the atmosphere",
  "questionType": "follow_up",
  "searchUrl": "https://www.perplexity.ai/search/a958681d-fc4c-4d22-9504-8396c4182990",
  "focusMode": "web",
  "language": "en-US",
  "scrapedAt": "2026-07-23T12:22:29.447Z"
}
```

### Related Actors

- [Perplexity Discover Scraper](https://apify.com/searchapi/perplexity-discover-scraper)
- [Perplexity Search Answers Scraper](https://apify.com/searchapi/perplexity-search-answers-scraper)
- [Perplexity Search Images Scraper](https://apify.com/searchapi/perplexity-search-images-scraper)

# Actor input Schema

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

The search query to get related/follow-up questions for.

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

Maximum number of related questions to scrape.

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

Optional array of additional queries to scrape in batch mode.

## `focusMode` (type: `string`):

Perplexity's focus mode (search scope).

## `model` (type: `string`):

Optional model override. Leave empty for default.

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

Language code for the answer locale.

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

Proxy settings. Residential proxies are recommended — Perplexity aggressively blocks datacenter IPs.

## Actor input object example

```json
{
  "query": "What is quantum computing?",
  "maxItems": 10,
  "queries": [
    "history of Rome",
    "renewable energy"
  ],
  "focusMode": "web",
  "model": "",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Related/follow-up questions from Perplexity search results.

# 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": "What is quantum computing?",
    "maxItems": 10,
    "queries": [],
    "focusMode": "web",
    "model": "",
    "language": "en-US",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/perplexity-related-questions-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": "What is quantum computing?",
    "maxItems": 10,
    "queries": [],
    "focusMode": "web",
    "model": "",
    "language": "en-US",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/perplexity-related-questions-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": "What is quantum computing?",
  "maxItems": 10,
  "queries": [],
  "focusMode": "web",
  "model": "",
  "language": "en-US",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call searchapi/perplexity-related-questions-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=searchapi/perplexity-related-questions-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/w7t7eVhvY79Jj6u9y/builds/VljhQcVjAelxMIdto/openapi.json