# Apple Channels Scraper - Low-costπŸ’²πŸŽ§πŸπŸ”΄ (`delectable_incubator/apple-channels-scraper---low-cost`) Actor Scrape Apple Podcasts channels by keyword πŸπŸ“‘ with a powerful podcast scraper. Extract channel names, descriptions, show counts, artwork, and more. Ideal for podcast discovery, market research, audience analysis, and building structured datasets for marketers, researchers, and analysts πŸ“ŠπŸŽ™οΈπŸš€ - **URL**: https://apify.com/delectable\_incubator/apple-channels-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Developer tools, Social media, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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

Apple Podcasts Channel Scraper - PrimeScrape

--- ### Apple Podcasts Channel Scraper πŸŽ§πŸ“‘πŸ The Apple Podcasts Channel Scraper is a fast, reliable, and scalable automation tool designed to extract structured podcast channel listings directly from Apple Podcasts. It transforms raw podcast discovery results into clean, structured datasets ready for podcast analytics, content research, audience insights, and data-driven applications. --- ### Apple Podcasts Channel Scraper πŸ§ πŸŽ§πŸ“ˆ This scraper automatically extracts structured podcast channel data from Apple Podcasts based on search keywords. Ideal for podcast curators, media analysts, marketers, content platforms, and researchers. --- ### 🎯 What This Scraper Does Simply provide one or multiple keywords, and the scraper will automatically collect structured podcast channel data. βœ… Extracts podcast channels from Apple Podcasts βœ… Supports keyword-based search (bulk keywords supported) βœ… Handles pagination automatically βœ… Respects max items per keyword limit βœ… Extracts channel metadata & descriptions βœ… Captures artwork, URLs, and show counts βœ… Structures data for analytics & integrations βœ… Ready for dashboards, datasets & pipelines --- ### πŸ“Š Data Extracted 🎧 Podcast Channel Fields | Field | Description | | ----------------------- | ---------------------------------------- | | πŸ†” `id` | Unique Apple Podcasts channel identifier | | πŸ“ `type` | Type of item (podcast-channels) | | πŸŽ™οΈ `name` | Podcast channel name | | 🏷️ `seller` | Distributor or publisher name | | ⏰ `releaseFrequency` | Update frequency of the channel | | πŸ“ `description` | Full channel description | | 🎨 `backgroundSwatch` | Branding background color | | πŸ”— `url` | Direct Apple Podcasts channel URL | | #️⃣ `showCount` | Total number of shows | | πŸ‘οΈ `displayType` | Display type (free/subscription/etc.) | | 🌍 `websiteUrl` | Official website link | | πŸ”— `sellerUrl` | Seller or publisher website | | πŸ“Š `availableShowCount` | Currently available shows | | πŸ–ΌοΈ `artwork_url` | Channel artwork image | | πŸ–ΌοΈ `logoArtwork_url` | Channel logo image | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide one or multiple keywords: ```` { "keywords": \[ "comedy", "finance", "technology" ], "maxitems": 50 } ``` 2️⃣ Run the Actor The scraper will: β€’ Search Apple Podcasts using keywords β€’ Automatically paginate results β€’ Extract podcast channel listings β€’ Collect metadata & descriptions β€’ Structure and clean the dataset β€’ Stop when maxitems limit is reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keywords": \[ "startup", "marketing" ], "maxitems": 75 } ``` #### Input Fields | Field | Type | Description | | ---------- | ------- | ------------------------------------------------------------ | | `keywords` | array | List of keywords to search podcast channels (bulk supported) | | `maxitems` | integer | Maximum number of channels per keyword (max 75) | --- ### πŸ“€ Output Example ``` { "id": "6442714899", "type": "podcast-channels", "name": "All Things Comedy Network", "seller": "All Things Comedy", "releaseFrequency": "Updated Semiweekly", "description": "Founded by Bill Burr and Al Madrigal...", "backgroundSwatch": "FFFFFF", "url": "https://podcasts.apple.com/us/channel/all-things-comedy-network/id6442714899", "showCount": 49, "displayType": "free", "websiteUrl": "https://bit.ly/FollowAllThingsComedy", "sellerUrl": null, "availableShowCount": 48, "artwork\_url": "https://is1-ssl.mzstatic.com/image/thumb/...jpg", "logoArtwork\_url": "https://is1-ssl.mzstatic.com/image/thumb/...png" } ```` --- ### πŸ“Š Output explanation | Field | Description | | -------------------- | ------------------------- | | `id` | Unique channel identifier | | `name` | Podcast channel name | | `seller` | Publisher or distributor | | `releaseFrequency` | Update frequency | | `description` | Channel description | | `url` | Apple Podcasts link | | `showCount` | Total shows | | `availableShowCount` | Available shows | | `artwork_url` | Channel artwork | | `logoArtwork_url` | Channel logo | --- ### 🌍 Why Use This Scraper? 🎧 Podcast Discovery β€” Explore podcast networks at scale πŸ“Š Market Analysis β€” Analyze podcast categories & trends 🧠 Content Research β€” Study creators and publishers πŸ“ˆ Growth Tracking β€” Monitor new podcast channels πŸ”„ Automation β€” Schedule recurring keyword scraping πŸ€– Data Pipelines β€” Feed structured podcast data into systems ⚑ Scalable β€” Built for bulk keyword extraction --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Apple. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $9.99 / 1000 results --- ### Related Actors If you're interested in Podcasts or show scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keyword` (type: `array`): One or more keywords to search for on Apple Podcasts channels πŸ” ## `maxitems` (type: `integer`): Maximum number of channels to scrape per keyword πŸ“Š Set how many channels to extract (max 75 per search) ## Actor input object example ```json { "keyword": [ "comedy", "action" ], "maxitems": 50 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": [ "comedy", "action" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/apple-channels-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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 = { "keyword": [ "comedy", "action", ], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/apple-channels-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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 '{ "keyword": [ "comedy", "action" ], "maxitems": 50 }' | apify call delectable_incubator/apple-channels-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/apple-channels-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple Channels Scraper - Low-costπŸ’²πŸŽ§πŸπŸ”΄", "description": "Scrape Apple Podcasts channels by keyword πŸπŸ“‘ with a powerful podcast scraper. \n\nExtract channel names, descriptions, show counts, artwork, and more. \n\nIdeal for podcast discovery, market research, audience analysis, and building structured datasets for marketers, researchers, and analysts πŸ“ŠπŸŽ™οΈπŸš€", "version": "0.0", "x-build-id": "PxSRtMTGPmaEnmqjx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~apple-channels-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-apple-channels-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~apple-channels-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-apple-channels-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~apple-channels-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-apple-channels-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keyword" ], "properties": { "keyword": { "title": "Keywords to search for on Podcast Apple channels πŸ”πŸŽ™οΈ", "type": "array", "description": "One or more keywords to search for on Apple Podcasts channels πŸ”", "default": [ "comedy", "action" ], "items": { "type": "string" } }, "maxitems": { "title": "Maximum number of channels to scrape per keyword πŸ“Š Set how many channels to extract (max 75 per search)", "maximum": 75, "type": "integer", "description": "Maximum number of channels to scrape per keyword πŸ“Š Set how many channels to extract (max 75 per search)", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```