# Podcast Host Directory Scraper - Shows, Hosts & Contact Data (`jungle_synthesizer/podcast-host-directory-scraper`) Actor Scrape podcast show data from ListenNotes including show name, host names, description, episode count, categories, language, country, Spotify URL, and contact/sponsor signals. Filter by category and limit results. - **URL**: https://apify.com/jungle\_synthesizer/podcast-host-directory-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## ListenNotes Podcast Host Directory Scraper Scrapes podcast show profiles from [ListenNotes](https://www.listennotes.com). Returns host names, episode counts, categories, Spotify URLs, and signals for email availability, sponsor relationships, and guest interview frequency — the fields PR teams and ad buyers actually want. Covers 16 categories. Each run crawls ListenNotes category listing pages, then follows each podcast to its detail page to extract structured data. ### Features - Extracts host names from the ListenNotes embedded data layer — not just the show title - Returns email, sponsor, and guest interview flags (boolean signals, not scraped addresses) - Spotify URL included for every show that has one - Filters by category — scrape Business only, or Technology and Health & Fitness together - `maxPagesPerCategory` controls how deep you go (10 shows per page, up to 100 pages) - `maxItems` caps total output across all categories ### Use Cases - **PR firms** building podcast outreach lists, filtered by category and guest-interview signal - **Podcast ad networks** prospecting shows with sponsor history in specific verticals - **Book publishers** finding interview-format shows for author placements - **SaaS companies** building category-targeted podcast advertising lists - **Researchers** mapping podcast landscape by category, language, and episode volume ### How It Works 1. Select categories and page depth in actor input 2. Scraper crawls ListenNotes category pages (`/best-business-podcasts-93/?page=N`) and extracts podcast profile URLs from the page's structured data 3. Each profile page is fetched and parsed — show name, host names, episode count, categories, and contact/sponsor signals come from a JSON block embedded in the page 4. Results are saved to the Apify dataset as clean JSON records, one per podcast ### Input ```json { "categories": ["business", "technology"], "maxPagesPerCategory": 5, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `categories` | array | `["business", "technology"]` | Podcast categories to scrape. Leave empty for all 16 categories. | | `maxPagesPerCategory` | integer | `5` | Pages per category (10 podcasts/page). Max 100. | | `maxItems` | integer | `10` | Total record cap across all categories. Set 0 for no cap. | | `proxyConfiguration` | object | Residential US | Proxy settings. US residential required — ListenNotes blocks datacenter IPs. | **Available categories:** arts, business, comedy, education, government, history, kids-and-family, society-and-culture, science, sports, technology, true-crime, news, religion-and-spirituality, self-improvement, health-and-fitness ### Output One record per podcast show: ```json { "show_name": "Digital Social Hour", "publisher": "Sean Kelly", "host_names": "Sean Kelly", "show_description": "Step into the world of unfiltered conversations with Digital Social Hour...", "categories": "education, news, self-improvement, business, careers", "language": "English", "country": "United States", "episode_count": 285, "spotify_url": "https://open.spotify.com/show/5Jn7LXarRlI8Hc0GtTn759", "has_email": true, "has_sponsors": true, "has_guest_interviews": true, "profile_url": "https://www.listennotes.com/podcasts/digital-social-hour-sean-kelly-tAbpoNck-BR/", "scraped_at": "2026-05-05T14:47:15.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `show_name` | string | Podcast show title | | `publisher` | string | Publisher or production company name | | `host_names` | string | Comma-separated list of host names | | `show_description` | string | Full show description text | | `categories` | string | Comma-separated genre/category names | | `language` | string | Primary language | | `country` | string | Country of origin | | `episode_count` | number | Total episode count | | `spotify_url` | string | Spotify show URL (when available) | | `has_email` | boolean | Whether ListenNotes has a contact email on record | | `has_sponsors` | boolean | Whether recent episodes mention sponsors | | `has_guest_interviews` | boolean | Whether the show features guest interviews | | `profile_url` | string | ListenNotes profile URL | | `scraped_at` | string | ISO timestamp of the scrape | ### Pricing Pay-per-event: $0.10 per actor start + $0.001 per record. Running 1,000 records costs roughly $1.10. ### 🔍 FAQ **How do I scrape podcast data from ListenNotes?** Podcast Host Directory Scraper handles that. Configure your categories and page depth, hit Run, and the results land in your Apify dataset as structured JSON. **How much does this actor cost to run?** Podcast Host Directory Scraper charges $0.10 per start and $0.001 per record scraped. A 500-record run costs about $0.60. **What data can I get from ListenNotes?** Podcast Host Directory Scraper returns show name, publisher, host names, description, categories, language, country, episode count, Spotify URL, and boolean signals for email availability, sponsor history, and guest interviews. RSS URLs and email addresses require a ListenNotes login and are not available via scraping. **Can I filter by category?** Podcast Host Directory Scraper supports 16 categories: arts, business, comedy, education, government, history, kids-and-family, society-and-culture, science, sports, technology, true-crime, news, religion-and-spirituality, self-improvement, and health-and-fitness. Specify any combination in the `categories` input array. **Does this actor need proxies?** Podcast Host Directory Scraper requires US residential proxies. ListenNotes blocks datacenter IPs at the IP level — the default proxy configuration handles this automatically. ### Need More Features? Need custom fields, additional categories, or RSS feed parsing? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use Podcast Host Directory Scraper? - **Contact signals** — Returns `has_email`, `has_sponsors`, and `has_guest_interviews` flags, which is more than competitors that only surface show discovery metadata - **Host name extraction** — Pulls actual host names from the structured data layer, not just the show title or publisher field, so you know who you're pitching before you look them up - **Affordable** — ~$0.001/record means 10,000 shows costs about $10 # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `categories` (type: `array`): Select podcast categories to scrape. Leave empty to scrape all categories. ## `maxPagesPerCategory` (type: `integer`): Maximum number of listing pages to crawl per category (10 podcasts per page). Default is 5 (50 podcasts per category). ## `maxItems` (type: `integer`): Maximum total number of podcast profiles to scrape across all categories. Set to 0 for unlimited. ## `proxyConfiguration` (type: `object`): Select proxies. US residential proxies required — ListenNotes blocks datacenter IPs. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "business", "technology" ], "maxPagesPerCategory": 5, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "business", "technology" ], "maxPagesPerCategory": 5, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/podcast-host-directory-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "business", "technology", ], "maxPagesPerCategory": 5, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/podcast-host-directory-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "business", "technology" ], "maxPagesPerCategory": 5, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call jungle_synthesizer/podcast-host-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/podcast-host-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Host Directory Scraper - Shows, Hosts & Contact Data", "description": "Scrape podcast show data from ListenNotes including show name, host names, description, episode count, categories, language, country, Spotify URL, and contact/sponsor signals. Filter by category and limit results.", "version": "0.1", "x-build-id": "9rgZ75czTpcj1YE78" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~podcast-host-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-podcast-host-directory-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~podcast-host-directory-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-podcast-host-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~podcast-host-directory-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-podcast-host-directory-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "categories": { "title": "Podcast Categories", "type": "array", "description": "Select podcast categories to scrape. Leave empty to scrape all categories.", "items": { "type": "string", "enum": [ "arts", "business", "comedy", "education", "government", "history", "kids-and-family", "society-and-culture", "science", "sports", "technology", "true-crime", "news", "religion-and-spirituality", "self-improvement", "health-and-fitness" ], "enumTitles": [ "Arts", "Business", "Comedy", "Education", "Government", "History", "Kids & Family", "Society & Culture", "Science", "Sports", "Technology", "True Crime", "News", "Religion & Spirituality", "Self-Improvement", "Health & Fitness" ] } }, "maxPagesPerCategory": { "title": "Max Pages Per Category", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of listing pages to crawl per category (10 podcasts per page). Default is 5 (50 podcasts per category).", "default": 5 }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum total number of podcast profiles to scrape across all categories. Set to 0 for unlimited.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies. US residential proxies required — ListenNotes blocks datacenter IPs." } } }, "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 } } } } } } } } } } ```