# Podcast Finder & Host Email Extractor (`piposlab/podcast-leads-extractor`) Actor Find podcasts by keyword and extract host contact email, website, cadence and metadata from Apple Podcasts + RSS. For sponsorships, guest booking and lead gen. - **URL**: https://apify.com/piposlab/podcast-leads-extractor.md - **Developed by:** [Alejandro Bufarini](https://apify.com/piposlab) (community) - **Categories:** Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Podcast Finder & Host Email Extractor Find podcasts by topic and get the **host's published contact email** plus website, category, episode count and whether the show is still active. Built for podcast sponsorship outreach, guest booking, and lead generation. ### What it does - **Search** Apple Podcasts by keyword/topic and return the matching shows. - For each show, read its RSS feed and pull the **host contact email** (`itunes:owner` email, which podcasters publish for contact), host name, website, episode count and last publish date. - Flags each podcast as **active** (published in the last 120 days) so you skip dead shows. - Or run in **feeds** mode to enrich a list of RSS URLs you already have. ### Output (one row per podcast) ```json { "name": "StartUp Podcast", "feedUrl": "https://feeds.example.com/startup", "website": "https://startup.example.com", "hostName": "Alex Blumberg", "hostEmail": "hello@startup.example.com", "category": "Business", "episodeCount": 142, "lastPublish": "2026-05-20T10:00:00Z", "active": true, "appleUrl": "https://podcasts.apple.com/...", "artworkUrl": "https://..." } ```` ### Notes (honest) - The host email comes from the `itunes:owner` tag the podcaster publishes in their own feed for contact. It is not guessed. Some feeds omit it; that field is then null. - Uses the public iTunes Search API and public RSS feeds. No API key. Respects Apple's rate limits. - Pair it with our Email Verifier & Finder actor to validate the host emails before outreach. # Actor input Schema ## `mode` (type: `string`): Search Apple Podcasts by keyword, or enrich a list of feed URLs you already have. ## `term` (type: `string`): Keyword/topic to search (search mode). ## `country` (type: `string`): 2-letter Apple storefront country code. ## `limit` (type: `integer`): How many podcasts to pull from the search (max 200). ## `feedUrls` (type: `array`): Podcast RSS feed URLs to enrich directly. ## `maxItems` (type: `integer`): Hard cap on number of podcasts processed. ## Actor input object example ```json { "mode": "search", "term": "startup", "country": "US", "limit": 50, "maxItems": 200 } ``` # 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 = { "term": "startup" }; // Run the Actor and wait for it to finish const run = await client.actor("piposlab/podcast-leads-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 = { "term": "startup" } # Run the Actor and wait for it to finish run = client.actor("piposlab/podcast-leads-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 '{ "term": "startup" }' | apify call piposlab/podcast-leads-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piposlab/podcast-leads-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Finder & Host Email Extractor", "description": "Find podcasts by keyword and extract host contact email, website, cadence and metadata from Apple Podcasts + RSS. For sponsorships, guest booking and lead gen.", "version": "0.1", "x-build-id": "GFrLxWS1Vyw5h6Rph" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piposlab~podcast-leads-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piposlab-podcast-leads-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/piposlab~podcast-leads-extractor/runs": { "post": { "operationId": "runs-sync-piposlab-podcast-leads-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/piposlab~podcast-leads-extractor/run-sync": { "post": { "operationId": "run-sync-piposlab-podcast-leads-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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "feeds" ], "type": "string", "description": "Search Apple Podcasts by keyword, or enrich a list of feed URLs you already have.", "default": "search" }, "term": { "title": "Search term", "type": "string", "description": "Keyword/topic to search (search mode)." }, "country": { "title": "Country", "type": "string", "description": "2-letter Apple storefront country code.", "default": "US" }, "limit": { "title": "Search result limit", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many podcasts to pull from the search (max 200).", "default": 50 }, "feedUrls": { "title": "RSS feed URLs (feeds mode)", "type": "array", "description": "Podcast RSS feed URLs to enrich directly.", "items": { "type": "string" } }, "maxItems": { "title": "Max podcasts", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on number of podcasts processed.", "default": 200 } } }, "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 } } } } } } } } } } ```