# Perplexity Discover Scraper (`searchapi/perplexity-discover-scraper`) Actor

Scrapes trending stories, summaries, and topics from Perplexity Discover (perplexity.ai/discover). Extracts story titles, descriptions, publication timestamps, source counts, category tags, and discover URLs.

- **URL**: https://apify.com/searchapi/perplexity-discover-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** News, AI, Developer tools
- **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 Discover Scraper

Scrapes trending stories, summaries, and topics from Perplexity Discover (perplexity.ai/discover). Extracts story titles, descriptions, publication timestamps, source counts, category tags, and discover URLs.

### What this Actor collects

The Actor converts Perplexity Discover stories into clean JSON records with summaries, categories, publication times, source counts, source domains, and story URLs.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 13-field dataset schema.
- Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

### Use cases

- Discover trend monitoring
- Topic and category research
- Story-source 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 |
| --- | --- | :---: | --- | --- |
| `maxItems` | integer | No | `10` | Maximum number of discover stories to scrape. |
| `category` | string | No | `""` | Optional category filter. Leave empty for all (Top stories). Available categories: Tech & Science, Business, Arts & Culture, Sports, Entertainment. |
| `proxyConfiguration` | object | No | `{"useApifyProxy":true}` | Proxy settings. Residential proxies are recommended — Perplexity aggressively blocks datacenter IPs. |

#### Example input

```json
{
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

### Output

The default dataset contains one item per Discover story. The following are the most useful fields; availability can vary by source response.

| Field | Type | Description |
| --- | --- | --- |
| `id` | string | Discover Story ID |
| `position` | integer | Position |
| `title` | string | Story Title |
| `description` | string | Description |
| `url` | string | Discover URL |
| `imageUrl` | string | Story Image URL |
| `sourceDomains` | array | Visible Source Domains |
| `sourceFaviconUrls` | array | Visible Source Favicon URLs |
| `publishedAt` | string | Published At |
| `sourceCount` | integer | Source Count |
| `category` | string | Category |
| `requestedCategory` | string | Requested Category |
| `scrapedAt` | string | Scraped At |

<details>
<summary>All 13 declared dataset fields</summary>

`id`, `position`, `title`, `description`, `url`, `imageUrl`, `sourceDomains`, `sourceFaviconUrls`, `publishedAt`, `sourceCount`
`category`, `requestedCategory`, `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
{
  "id": "infosys-names-ashiss-kumar-das-7O0opmX2Q_6MsjMYF0NzBA",
  "position": 1,
  "title": "Infosys names Ashiss Kumar Dash as CEO-designate alongside Q1 revenue miss",
  "description": "The IT major appointed the energy and utilities segment head to succeed Salil Parekh from April 2027, as quarterly earnings fell short of estimates.",
  "url": "https://www.perplexity.ai/discover/top/infosys-names-ashiss-kumar-das-7O0opmX2Q_6MsjMYF0NzBA",
  "imageUrl": "https://pplx-res.cloudinary.com/image/fetch/s--nu89okQR--/t_limit/https://img.etimg.com/thumb/width-420%2Cheight-315%2Cimgsize-67688%2Cresizemode-75%2Cmsid-93739686/industry/servi…",
  "sourceDomains": [
    "infosys.com",
    "finance.yahoo.com"
  ],
  "sourceFaviconUrls": [
    "https://www.google.com/s2/favicons?sz=128&domain=infosys.com",
    "https://www.google.com/s2/favicons?sz=128&domain=finance.yahoo.com"
  ],
  "publishedAt": "1 hour ago",
  "sourceCount": 54,
  "category": "Top",
  "scrapedAt": "2026-07-23T12:20:39.390Z"
}
```

### Related Actors

- [Perplexity Related Questions Scraper](https://apify.com/searchapi/perplexity-related-questions-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

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

Maximum number of discover stories to scrape.

## `category` (type: `string`):

Optional category filter. Leave empty for all (Top stories). Available categories: Tech & Science, Business, Arts & Culture, Sports, Entertainment.

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

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

## Actor input object example

```json
{
  "maxItems": 10,
  "category": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Trending stories from Perplexity Discover.

# 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 = {
    "maxItems": 10,
    "category": "",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/perplexity-discover-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 = {
    "maxItems": 10,
    "category": "",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/perplexity-discover-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 '{
  "maxItems": 10,
  "category": "",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call searchapi/perplexity-discover-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/zuHhRNOYLbQfrrgc2/builds/IRZeeJPZQbLhrif8X/openapi.json