# Gumroad Products Scraper — Search, Prices, Ratings, Sales (`chorelet/gumroad-products-scraper`) Actor

Search Gumroad Discover by keyword and category: products with price, currency, pay-what-you-want and subscription flags, rating and review count, seller and thumbnail. Sort by newest, rating, reviews or price; price and rating filters. CSV/JSON export and API.

- **URL**: https://apify.com/chorelet/gumroad-products-scraper.md
- **Developed by:** [Chorelet](https://apify.com/chorelet) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.10 / 1,000 products

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

## Gumroad Products Scraper — Search, Prices, Ratings, Sales

Search **Gumroad Discover** by keyword and category and get every product with price and currency, pay-what-you-want and subscription flags, limited-quantity info, average rating and number of ratings, short description, thumbnail, product type and seller (name, avatar, store URL). Sort by hot-and-new, newest, highest rated, most reviewed or price; filter by price range and minimum rating. JSON, CSV, Excel or API.

Reads Gumroad's public Discover search — the same results a visitor sees — with no login.

### Why this Actor

- Keyword × category searches on Gumroad Discover, exactly what visitors see
- Price, currency, pay-what-you-want and subscription flags, rating and review count
- Seller name and store URL for every product
- Gumroad's own sort orders and price/rating filters
- Checked every day by an automated run

### Sample output

One item of the dataset (long values shortened):

```json
{
  "name": "Notion Student Dashboard",
  "url": "https://easloacademy.gumroad.com/l/tkfmcx",
  "price": 0,
  "currency": "USD",
  "isPayWhatYouWant": true,
  "ratingAverage": 5,
  "ratingCount": 4880,
  "productType": "digital",
  "seller": {
    "id": "3345958371424",
    "name": "Easlo Academy",
    "avatar": "https://public-files.gumroad.com/4k7ue4pbjerm3o4y3tnuo9m1oave",
    "url": "https://easloacademy.gumroad.com/"
  }
}
```

### What you get

| Field | Description |
|---|---|
| `id`, `name`, `url`, `permalink`, `productType`, `thumbnail`, `description` | The product |
| `price`, `currency`, `isPayWhatYouWant`, `recurrence`, `durationMonths`, `isSalesLimited`, `quantityRemaining` | Pricing |
| `ratingAverage`, `ratingCount` | Social proof |
| `seller` | id, name, avatar, store URL |
| `source` | Which search produced the product |

Products are deduplicated across searches. A per-search summary (total Gumroad reports, products kept, errors) is saved as `SUMMARY`.

### Input

- **Search queries** and/or **Categories** (every query is combined with every category).
- **Sort**, **Max products per search**, **Min/Max price**, **Min rating**, **Proxy** (off by default).

### Limits and notes

- Discover returns 9 products per page; the Actor pages until your limit. Very broad searches list tens of thousands of products — use sort and filters to get the slice you need.
- Descriptions are the short listing text; full product pages are not fetched.
- Public data only; the Actor stores nothing beyond the dataset of your run.

### Input example

```json
{
  "queries": [
    "notion template"
  ],
  "sort": "default",
  "maxProductsPerSearch": 100
}
```

### How much does it cost?

Pay per product — no subscription, no minimum, no charge for platform usage.

| Volume | Price |
|---|---|
| 1,000 products | $3.00 |
| 10,000 products | $30.00 |
| 100,000 products | $300.00 |

The Apify **free plan includes $5 of usage every month** — about 1,666 products with this Actor, no card needed. Nothing else is charged: platform usage is included in the price, and Apify Bronze, Silver and Gold subscribers get 10%, 20% and 30% off these prices.

### Use it from code, n8n, Make, Zapier or an AI agent

Run the Actor and download the dataset in one call (JSON by default; add `&format=csv` or `xlsx`):

```bash
curl -X POST "https://api.apify.com/v2/acts/chorelet~gumroad-products-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["notion template"], "sort": "default", "maxProductsPerSearch": 100}'
```

Python:

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("chorelet/gumroad-products-scraper").call(run_input={"queries": ["notion template"], "sort": "default", "maxProductsPerSearch": 100})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

- **n8n, Make, Zapier** — use the Apify node/module: run the Actor, then "get dataset items".
- **Google Sheets, Slack, webhooks** — add an integration on the run's *Integrations* tab.
- **AI agents** — the Actor is available as a tool through the Apify MCP server; the dataset schema describes every field for the model.
- **Schedules** — run it hourly, daily or weekly from the *Schedules* tab.

### FAQ

**How many products can one search return?**

As many as you set — Discover pages 9 at a time; broad searches list tens of thousands, so use sort and filters.

**Are full product descriptions included?**

The short listing text is; full product pages are not fetched.

**Can I find best-sellers?**

Sort by `most_reviewed` or `highest_rated` — review counts are the closest public signal to sales.

**Can I filter by price?**

Yes — `minPrice`, `maxPrice` (USD) and `minRating`.

**What does a run cost?**

$3 per 1,000 products. The free plan's $5 a month covers about 1,600 products.

### Support

Questions, missing fields or a source that changed? Open an issue on the *Issues* tab or write to support@chorelet.app — problems are usually fixed within a day, and the Actor is checked every morning by an automated test run. If the Actor saved you time, a short review on its Store page helps other people find it.

# Actor input Schema

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

What to search on Gumroad Discover, e.g. `notion template`, `lightroom presets`, `procreate brushes`.

## `categories` (type: `array`):

Restrict to Gumroad categories (combined with each query).

## `sort` (type: `string`):

Gumroad's own orderings.

## `maxProductsPerSearch` (type: `integer`):

Gumroad shows 9 per page; 100 products = 12 requests.

## `minPrice` (type: `integer`):

Optional lower price bound.

## `maxPrice` (type: `integer`):

Optional upper price bound.

## `minRating` (type: `integer`):

Optional minimum average rating, 1–5.

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

Off by default. Enable Apify proxies if Gumroad answers 403.

## Actor input object example

```json
{
  "queries": [
    "notion template"
  ],
  "categories": [],
  "sort": "default",
  "maxProductsPerSearch": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

All products — items of the default dataset. Use ?format=csv or xlsx on this URL for spreadsheets.

## `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 = {
    "queries": [
        "notion template"
    ],
    "categories": [],
    "maxProductsPerSearch": 100,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("chorelet/gumroad-products-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 = {
    "queries": ["notion template"],
    "categories": [],
    "maxProductsPerSearch": 100,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("chorelet/gumroad-products-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 '{
  "queries": [
    "notion template"
  ],
  "categories": [],
  "maxProductsPerSearch": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call chorelet/gumroad-products-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,chorelet/gumroad-products-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/fWB9m5HLusM23Cb8S/builds/2asv7vRdLgHwaNyzo/openapi.json