# Podchaser Discovery Extractor (`getdataforme/podchaser-discovery-extractor`) Actor The Podchaser Discovery Extractor is a tool for scraping detailed podcast information from Podchaser, offering customizable queries and flexible item limits.... - **URL**: https://apify.com/getdataforme/podchaser-discovery-extractor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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/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 --- ## README.md ### Podchaser Discovery Extractor #### Introduction The **Podchaser Discovery Extractor** is a powerful tool designed to scrape and extract detailed information about podcasts from the Podchaser platform. It allows users to gather comprehensive data on podcast queries, including titles, descriptions, ratings, and more, facilitating in-depth analysis and insights. #### Features - **Comprehensive Data Extraction**: Retrieves extensive details such as podcast title, description, image URL, and episode count. - **Customizable Queries**: Allows input of specific search terms to tailor the extraction process. - **Flexible Item Limit**: Users can set a maximum number of items to scrape per run or opt for unlimited scraping. - **High-Quality Data**: Ensures reliable and accurate data collection from Podchaser. - **User-Friendly Configuration**: Simple setup with clear input parameters for easy customization. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | Queries | array | No | The queries for the spider. | `["english"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Queries": ["english"], "item_limit": 10 } ```` ##### Output JSON ```json [ { "query": "english", "podcast_id": 509053, "title": "Speak English Now Podcast: Learn English | Speak English without grammar.", "description": "The Speak English Now Podcast is your resource for practicing your English speaking and listening...", "image_url": "https://static.libsyn.com/p/assets/a/5/f/d/a5fd64b28945d2ce16c3140a3186d450/Speak-English-Now-Artwork_2026-17001.jpg", "podcast_url": "https://speakenglishpodcast.libsyn.com/rss", "episode_count": 404, "rating": 5, "itunes_id": "1216879060", "spotify_id": "3BdVI2jDY4FRY4QKKbY1GM", "date_of_first_episode": "2017-03-16 09:41:57", "date_of_latest_episode": "2026-06-26 14:50:00", "itunes_author": "Georgiana, founder of SpeakEnglishPodcast.com", "networks": [], "categories": ["Education"], "follower_count": 60, "review_count": 1, "rating_count": 3, "actor_id": "Rb7uu4uFS1vI3dWC7", "run_id": "h1LjRWEVTgRrrVs5f" }, { "query": "english", "podcast_id": 4947934, "title": "Business English from All Ears English", "description": "Want to feel more confident with your business English? Lindsay and Michelle show you real, business English vocabulary...", "image_url": "https://megaphone.imgix.net/podcasts/9b344c08-1f4b-11ed-8dbe-bfd7cf20a20f/image/AEE_Show_Cover_Art_Business_English-Less-than-500.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format%2Ccompress", "podcast_url": "https://feeds.megaphone.fm/ALLE3395867426", "episode_count": 620, "rating": 5, "itunes_id": "1650591741", "spotify_id": "5HFUjaqFFXUiHC5SA6uVEz", "date_of_first_episode": "2022-10-17 00:15:00", "date_of_latest_episode": "2026-06-30 05:00:00", "itunes_author": "Lindsay McMahon", "networks": [], "categories": ["Business", "Education"], "follower_count": 16, "review_count": 0, "rating_count": 1, "actor_id": "Rb7uu4uFS1vI3dWC7", "run_id": "h1LjRWEVTgRrrVs5f" }, { "query": "english", "podcast_id": 98944, "title": "RealLife English: Learn and Speak Confident, Natural English", "description": "Welcome to the RealLife English podcast! For over 10 years, RealLife English has helped millions of learners just like you...", "image_url": "https://static.libsyn.com/p/assets/3/e/7/f/3e7f2968e152743327a2322813b393ee/317e4efe2d4db6e2.png", "podcast_url": "https://rss.libsyn.com/shows/41632/destinations/126390.xml", "episode_count": 526, "rating": 5, "itunes_id": "600128442", "spotify_id": "0xBw3oEE9tW79gKd9pQHdN", "date_of_first_episode": "2013-01-20 13:35:45", "date_of_latest_episode": "2025-12-02 14:50:57", "itunes_author": "RealLife English", "networks": [], "categories": ["Education"], "follower_count": 38, "review_count": 0, "rating_count": 1, "actor_id": "Rb7uu4uFS1vI3dWC7", "run_id": "h1LjRWEVTgRrrVs5f" } ] ``` #### Use Cases - **Market Research and Analysis**: Gather data on podcast trends and audience preferences. - **Competitive Intelligence**: Monitor competitor podcasts for strategic insights. - **Price Monitoring**: Track changes in podcast-related services or subscriptions. - **Content Aggregation**: Compile comprehensive lists of podcasts for content platforms. - **Academic Research**: Use podcast data for studies in media, communication, or marketing. - **Business Automation**: Integrate with CRM systems to enhance customer engagement strategies. #### Installation and Usage 1. Search for "Podchaser Discovery Extractor" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). #### Output Format The output is a JSON array containing objects with fields such as `query`, `podcast_id`, `title`, `description`, `image_url`, `podcast_url`, `episode_count`, `rating`, `itunes_id`, `spotify_id`, `date_of_first_episode`, `date_of_latest_episode`, `itunes_author`, `networks`, `categories`, `follower_count`, `review_count`, `rating_count`, `actor_id`, and `run_id`. Each field provides specific details about the podcasts extracted based on the input queries. #### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Queries` (type: `array`): The queries for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Queries": [ "english" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/podchaser-discovery-extractor").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/podchaser-discovery-extractor").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 '{}' | apify call getdataforme/podchaser-discovery-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/podchaser-discovery-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podchaser Discovery Extractor", "description": "The Podchaser Discovery Extractor is a tool for scraping detailed podcast information from Podchaser, offering customizable queries and flexible item limits....", "version": "0.0", "x-build-id": "68yMvU3JcEAOl7NkC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~podchaser-discovery-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-podchaser-discovery-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~podchaser-discovery-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-podchaser-discovery-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~podchaser-discovery-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-podchaser-discovery-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "Queries": { "title": "Queries", "type": "array", "description": "The queries for the spider.", "default": [ "english" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```