# Gumroad Product Detail Scraper πŸ›οΈ (`easyapi/gumroad-product-detail-scraper`) Actor Scrape detailed product information from Gumroad product pages including pricing, descriptions, ratings, seller details, and more. Perfect for market research, competitor analysis, and tracking digital products on Gumroad. - **URL**: https://apify.com/easyapi/gumroad-product-detail-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** E-commerce, Integrations, Other - **Stats:** 7 total users, 0 monthly users, 96.6% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Product Detail Scraper πŸ›οΈ Extract comprehensive product information from Gumroad product pages with this powerful scraper. Get detailed insights about digital products, courses, software, and other items sold on Gumroad. ### 🎯 Use Cases - Market research and competitor analysis - Track pricing changes and product updates - Monitor product ratings and sales performance - Gather seller information and product descriptions - Build product databases and catalogs ### ✨ Features - Extracts detailed product information including: - Product name, description, and pricing details πŸ’° - Seller information and profile details πŸ‘€ - Product ratings and review statistics ⭐ - Cover images and media content πŸ–ΌοΈ - Product attributes and specifications πŸ“ - Sales count and availability status πŸ“Š - Supported languages and system requirements 🌐 - Bundle information and license options πŸ“¦ - Advanced capabilities: - Handles multiple product URLs in a single run - Built-in proxy support for reliable scraping - Stealth browser automation to avoid detection - Efficient data collection with minimal requests - Clean, structured JSON output format ### πŸ’‘ Input Parameters - `productUrls`: Array of Gumroad product URLs to scrape - `proxyConfiguration`: Proxy settings for reliable scraping (optional) ### πŸ“Š Output Provides structured JSON data containing: - Complete product details and metadata - Pricing information and purchase options - Seller details and profile information - Product ratings and statistics - Technical specifications and requirements - Timestamps and scraping metadata #### Input Example A full explanation of an input example in JSON. ```json { "productUrls": [ "https://goodsnooze.gumroad.com/l/macwhisper" ] } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "productUrl": "https://goodsnooze.gumroad.com/l/macwhisper", "scrapedAt": "2025-01-30T02:08:26.428Z", "detail": { "id": "gu82N0k4M8jl1waz-ttTAA==", "permalink": "ivpqk", "name": "πŸŽ™οΈ MacWhisper", "seller": { "id": "6875988407795", "name": "Jordi Bruin", "avatar_url": "https://public-files.gumroad.com/m9b262afk0t8uiwghka40wg6ek3f", "profile_url": "https://goodsnooze.gumroad.com/" }, "collaborating_user": null, "covers": [ { "url": "https://public-files.gumroad.com/130d4g5nxeng11eiwzmyh6d9hhns", "original_url": "https://public-files.gumroad.com/mjcfaqotqy2agqnt4fagmt8fct29", "thumbnail": null, "id": "b65d2c6fcd6d84f0f87a345391e24980", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 }, { "url": "https://public-files.gumroad.com/tkznin5cuh97p2wy342o3oyzhtw2", "original_url": "https://public-files.gumroad.com/nhy06ugrhctod0g7qj401b6sio34", "thumbnail": null, "id": "a187ac75c9697d51271e65e5209bad02", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 }, { "url": "https://public-files.gumroad.com/y8lyoanwz3qtyyzabdk80n91n36o", "original_url": "https://public-files.gumroad.com/pn3u5045eivh51s3kyfw943zf96h", "thumbnail": null, "id": "9ec6a869e7a9eceb8219ae8354392d96", "type": "image", "filetype": "jpeg", "width": 670, "height": 372, "native_width": 2880, "native_height": 1600 }, { "url": "https://public-files.gumroad.com/9kiq1iz5fb3sdv44i7l0hl0aw6bq", "original_url": "https://public-files.gumroad.com/wr15i2d9z27ptggbfegfno2ka2c6", "thumbnail": null, "id": "59974e71142d648d6965f290fcdf9691", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 }, { "url": "https://public-files.gumroad.com/mxo9qefzqk6vlpybaxe1zwyg6dd7", "original_url": "https://public-files.gumroad.com/vb7bwhbgarbxf78004tnxllikfjf", "thumbnail": null, "id": "ea314cb8f0d7ee02a3e920c270392688", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 }, { "url": "https://public-files.gumroad.com/qmvd7y2ixiei49gvgsvxs6o7ydzu", "original_url": "https://public-files.gumroad.com/du7b11m2c2md7hlod9xzwc0fnfjq", "thumbnail": null, "id": "44a9a76c44b970cde868d51c05daae4f", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 }, { "url": "https://public-files.gumroad.com/3mak1jurus3zuw5fy87q3yp4pjqs", "original_url": "https://public-files.gumroad.com/3gzhuu4ubd01ih3kl4z62lk883l6", "thumbnail": null, "id": "9ef90993db64796031b83488456feaf1", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 }, { "url": "https://public-files.gumroad.com/blek6zowlia41kh16bcklf7rq54a", "original_url": "https://public-files.gumroad.com/gvf4f88pv20iovtem07ldei8pc70", "thumbnail": null, "id": "a3042e965748e2c50b3f2453207e075f", "type": "image", "filetype": "png", "width": 670, "height": 430, "native_width": 1971, "native_height": 1267 } ], "main_cover_id": "b65d2c6fcd6d84f0f87a345391e24980", "thumbnail_url": "https://public-files.gumroad.com/mhoqmtj5d01on1wxj74zzeed9n8o", "quantity_remaining": null, "long_url": "https://goodsnooze.gumroad.com/l/macwhisper", "is_sales_limited": false, "ratings": { "count": 1559, "average": 4.7, "percentages": [ 5, 1, 2, 7, 85 ] }, "custom_button_text_option": "i_want_this_prompt", "is_compliance_blocked": false, "is_published": true, "is_stream_only": false, "streamable": false, "sales_count": 161731, "summary": null, "attributes": [ { "name": "Supported OS", "value": "Sonoma and Sequoia (14.0 and higher)" }, { "name": "Recommended Hardware", "value": "M-series Macs (also works on Intel Macs)" }, { "name": "One Time Payment", "value": "No Subscription, unlimited transcriptions and access to all current and future updates" }, { "name": "Version", "value": "11.5" }, { "name": "Legacy Support", "value": "Monterey (2.22) and Ventura (10.9.2)" } ], "description_html": "

Quickly and easily transcribe audio files into text with OpenAI's state-of-the-art transcription technology Whisper. Whether you're recording a meeting, lecture, or other important audio, MacWhisper quickly and accurately transcribes your audio files into text.

Features

MacWhisper Pro

After downloading MacWhisper you will have to fill in your license key to unlock all Pro features.

If you want to purchase more than 20 licenses, or if you're looking for an MDM deployment or something custom, please send an email to support@macwhisper.com.

100+ Supported Languages

MacWhisper can transcribe audio in the following languages:

English, Chinese, German, Spanish, Russian, Korean, French, Japanese, Portuguese, Turkish, Polish, Catalan, Dutch, Arabic, Swedish, Italian, Indonesian, Hindi, Finnish, Vietnamese, Hebrew, Ukrainian, Greek, Malay, Czech, Romanian, Danish, Hungarian, Tamil, Norwegian, Thai, Urdu, Croatian, Bulgarian, Lithuanian, Latin, Maori, Malayalam, Welsh, Slovak, Telugu, Persian, Latvian, Bengali, Serbian, Azerbaijani, Slovenian, Kannada, Estonian, Macedonian, Breton, Basque, Icelandic, Armenian, Nepali, Mongolian, Bosnian, Kazakh, Albanian, Swahili, Galician, Marathi, Punjabi, Sinhala, Khmer, Shona, Yoruba, Somali, Afrikaans, Occitan, Georgian, Belarusian, Tajik, Sindhi, Gujarati, Amharic, Yiddish, Lao, Uzbek, Faroese, Haitian Creole, Pashto, Turkmen, Nynorsk, Maltese, Sanskrit, Luxembourgish, Myanmar, Tibetan, Tagalog, Malagasy, Assamese, Tatar, Hawaiian, Lingala, Hausa, Bashkir, Javanese, Sundanese.

System Requirements

MacWhisper requires a lot of computer memory to work well. To use the Medium and Large models your Mac should have more than 8GB of RAM. Performance on older Intel based Macs can also be bad but I have not been able to test this properly.

πŸ‘¨β€πŸ’» Check out my other macOS utilities:

OpenAI Bundle - Get all my OpenAI apps at a discounted rate

MacGPT - Use ChatGPT on your Mac and from your menubar

Detective - GPT Vision for macOS

Voices - High Quality Text to Speech with OpenAI

Text Assistant - Generate useful text and manage your prompts with GPT and your own OpenAPI key

Vivid - Double the brightness of your MacBook Pro by always using HDR mode

Forehead - Hide the Notch and round your MacBook corners

Cooldown - Quickly toggle Low Power Mode from your menubar

Speedy - Fast Speedtest in your menubar

Pippo - Improve the Picture-in-Picture video player with seek controls

Whisper was made by building on top of all the hard work from Georgi Gerganov, check out his Whisper implementation here: https://github.com/ggerganov/whisper.cpp


Privacy Policy and Terms of Use

", "currency_code": "eur", "price_cents": 0, "rental_price_cents": null, "pwyw": null, "is_legacy_subscription": false, "is_tiered_membership": false, "is_physical": false, "custom_view_content_button_text": "Download MacWhisper", "is_multiseat_license": false, "native_type": "digital", "preorder": null, "duration_in_months": null, "rental": null, "is_quantity_enabled": false, "free_trial": null, "recurrences": null, "options": [ { "id": "7VLW8xWW34vC6JAnun60aA==", "name": "MacWhisper Free", "quantity_left": null, "description": "Native macOS app to use Whisper for transcriptions", "price_difference_cents": 0, "recurrence_price_values": null, "is_pwyw": false, "duration_in_minutes": null }, { "id": "duE2Y0PPtsMe1X92D7QNrg==", "name": "MacWhisper Pro", "quantity_left": null, "description": "1 MacWhisper Pro License (Personal Use)", "price_difference_cents": 4900, "recurrence_price_values": null, "is_pwyw": false, "duration_in_minutes": null }, { "id": "sfZav9rqXfwhPagz4f6LMQ==", "name": "5 licenses (Pro)", "quantity_left": null, "description": "5 MacWhisper Pro Licenses (€30 / license)", "price_difference_cents": 14900, "recurrence_price_values": null, "is_pwyw": false, "duration_in_minutes": null }, { "id": "ifLhpWABdTzeOfvbD4I-eg==", "name": "10 licenses (Pro)", "quantity_left": null, "description": "10 MacWhisper Pro Licenses (€20 / license)", "price_difference_cents": 19900, "recurrence_price_values": null, "is_pwyw": false, "duration_in_minutes": null }, { "id": "8N_iRN_bC0RXApiYH809oA==", "name": "20 licenses (Pro)", "quantity_left": null, "description": "20 MacWhisper Pro Licenses (€20 / license)", "price_difference_cents": 39900, "recurrence_price_values": null, "is_pwyw": false, "duration_in_minutes": null } ], "analytics": { "google_analytics_id": null, "facebook_pixel_id": "", "free_sales": true }, "has_third_party_analytics": false, "ppp_details": null, "can_edit": false, "refund_policy": { "title": "No refunds allowed", "fine_print": null, "updated_at": "2025-01-09" }, "bundle_products": [] } } ] ``` # Actor input Schema ## `productUrls` (type: `array`): List of Gumroad product URLs to scrape ## `proxyConfiguration` (type: `object`): Proxy settings for the scraper ## Actor input object example ```json { "productUrls": [ "https://goodsnooze.gumroad.com/l/macwhisper" ], "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/gumroad-product-detail-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/gumroad-product-detail-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ 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) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/gumroad-product-detail-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/gumroad-product-detail-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 ` 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/oHa6W5R8uRtLY3hj9/builds/cKtcadgwuVcriUTaR/openapi.json