# PennyScout — Product & Price Scraper (`predictable_leaf_gyf/my-actor`) Actor

Extract product names, prices, currencies, availability, and source URLs from supported public product pages. Export organized records as CSV or JSON. Early release with an initial live test completed; coverage varies by website.

- **URL**: https://apify.com/predictable\_leaf\_gyf/my-actor.md
- **Developed by:** [Daniel Decker](https://apify.com/predictable_leaf_gyf) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 product records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

### What does PennyScout do?

PennyScout extracts product names, prices, currency, availability and source links from supported public product pages and saves unique records to an Apify dataset.

### How to use it

1. Open Input and choose Demo catalog for a practice run or Live product pages for your own URLs.
2. Start with a maximum of 5 records and low page limits.
3. Run the Actor and inspect Products and the run summary.
4. Export results as CSV, JSON or Excel.

Demo mode uses https://books.toscrape.com/ and marks its fictional product data with is\_demo. Demo records are subject to the same pricing.

### Supported pages and limits

Live mode expects JSON-LD Product objects with offers containing a price and currency. It processes supplied URLs only and does not automatically discover links. Maximum records defaults to 5. Maximum pages defaults to 5 and is capped at 100. The default delay between requests is one second.

### Output

Records include name, sku when available, price, currency, availability, product\_url, source\_url, observed\_at, record\_id and is\_demo. Duplicate offers are omitted within a run. Missing or invalid names, prices and currency codes are skipped.

### Pricing

Product records cost $1.00 per 1,000 records saved to the default dataset ($0.001 each). The Actor Start event costs $0.00005 per GB of allocated memory, with a minimum of one event per run. Platform usage is included in this pay-per-event price. See the Pricing tab for current rates and set a maximum charge before running.

### Coverage and support

This is an early release with an initial live product-page test completed. JavaScript-only products, price ranges without a specific offer and pages without supported structured data may return no results. Redirects to another domain are unsupported. Prices can change after collection.

Only crawl sources you are permitted to use. The crawler respects robots.txt and does not bypass access controls. Inspect the log and run summary when troubleshooting, and use the Issues tab for feedback.

# Actor input Schema

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

Demo fetches a scraping practice catalog. Live reads supplied public product pages with JSON-LD.

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

For live mode, add public product pages you are permitted to crawl. No automatic link following.

## `maxRecords` (type: `integer`):

Stop after this many unique products.

## `maxPages` (type: `integer`):

Maximum supplied pages to fetch.

## `delaySeconds` (type: `number`):

Minimum delay between page requests.

## Actor input object example

```json
{
  "mode": "demo",
  "startUrls": [],
  "maxRecords": 5,
  "maxPages": 5,
  "delaySeconds": 1
}
```

# Actor output Schema

## `products` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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("predictable_leaf_gyf/my-actor").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("predictable_leaf_gyf/my-actor").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 predictable_leaf_gyf/my-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,predictable_leaf_gyf/my-actor"
        }
    }
}
```

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/tYaWAbHe72BLYeVCN/builds/klPY9ftgK7K5DP4PW/openapi.json