# Podcast Host Lead Scraper (`scrapemint/podcast-host-leads`) Actor Search the podcast directory by keyword and turn shows into B2B leads: the host's public email, show name, author, website, category, episode count, and last-episode date. One lead per podcast. Keyless, no API key. - **URL**: https://apify.com/scrapemint/podcast-host-leads.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Business, Lead generation - **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 Host Lead Scraper Turn the podcast directory into a B2B lead list. Search by keyword and get, for every show, the host's **public email**, show name, author, website, category, **episode count**, and **last-episode date**. One lead per podcast. Podcast hosts are a captive, high-value market for ad networks, hosting platforms, and PR agencies. The host contact email is published in the show's RSS feed, so leads are reachable with no guessing and no API key. ### Who buys this - **Podcast ad networks and sponsors** finding shows to advertise on. - **Podcast hosting platforms** prospecting hosts to switch. - **Guest-booking and podcast-PR agencies** pitching clients as guests. - **Podcast tool SaaS** (transcription, editing, analytics). ### How it works 1. For each keyword it searches the podcast directory (keyless iTunes Search API), returning the feed URL, episode count, genres, and last release date. 2. For each show it reads the RSS feed header for the host's public owner email, website, and language. 3. Each show is scored and tiered, then pushed as one lead. ### Output One row per podcast: ```json { "name": "Marketing Happy Hour", "author": "Marketing Happy Hour", "ownerName": "Cassie", "ownerEmail": "cassie@cammmedia.com", "website": "https://www.marketinghappyhr.com/", "primaryGenre": "Marketing", "genres": ["Marketing", "Business"], "episodes": 274, "lastEpisodeDate": "2026-06-25T09:00:00Z", "active": true, "language": "en", "country": "USA", "applePodcastUrl": "https://podcasts.apple.com/us/podcast/...", "tier": "qualified_lead", "leadScore": 91 } ```` ### Tiers and pricing Pay per lead. The first 10 `qualified_lead` per run are free so you can validate output. | Tier | Meaning | Price | | --- | --- | --- | | `listing` | Show data, no public email or website | $0.01 | | `lead` | A public host email or a website | $0.02 | | `qualified_lead` | An active show with a public email and 10+ episodes | $0.05 | The directory search is keyless and the RSS is fetched header-only, so runs are fast and cheap, and a single run can return thousands of leads. ### Input | Field | Default | Notes | | --- | --- | --- | | `keywords` | `[]` | Topics or niches, one search each. | | `country` | `US` | Directory store country. | | `maxLeads` | `200` | Cap total leads per run. | | `maxPerKeyword` | `100` | Shows per keyword (up to 200). | | `minEpisodes` | `0` | Drop shows below this episode count. | | `activeSinceDays` | `0` | Only keep shows with a recent episode. | | `requireEmail` | `false` | Only keep shows with a host email. | ### Notes - Some shows on large hosts route the owner email to a generic platform address; the website is always surfaced as a second contact path, and noreply addresses are filtered out. - Respect the directory's terms and applicable outreach laws when contacting hosts. # Actor input Schema ## `keywords` (type: `array`): Topics or niches to find podcasts for (e.g. marketing, true crime, startup, fitness). ## `country` (type: `string`): Two-letter store country code for the directory. Default US. ## `maxLeads` (type: `integer`): Cap total leads scored per run. ## `maxPerKeyword` (type: `integer`): Cap shows taken from each keyword (iTunes returns up to 200). ## `minEpisodes` (type: `integer`): Drop shows with fewer episodes than this. Zero keeps everything. ## `activeSinceDays` (type: `integer`): Only keep shows with a new episode in this many days. Zero keeps all, active or dormant. ## `requireEmail` (type: `boolean`): Skip shows whose RSS feed has no public owner email. ## `concurrency` (type: `integer`): Feeds fetched in parallel. ## Actor input object example ```json { "keywords": [ "marketing", "startup", "real estate" ], "country": "US", "maxLeads": 200, "maxPerKeyword": 100, "minEpisodes": 0, "activeSinceDays": 0, "requireEmail": false, "concurrency": 8 } ``` # 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 = { "keywords": [ "marketing", "startup", "real estate" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/podcast-host-leads").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 = { "keywords": [ "marketing", "startup", "real estate", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/podcast-host-leads").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 '{ "keywords": [ "marketing", "startup", "real estate" ] }' | apify call scrapemint/podcast-host-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/podcast-host-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Host Lead Scraper", "description": "Search the podcast directory by keyword and turn shows into B2B leads: the host's public email, show name, author, website, category, episode count, and last-episode date. One lead per podcast. Keyless, no API key.", "version": "0.1", "x-build-id": "CsbjSJdyRPRrsWw6y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~podcast-host-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-podcast-host-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~podcast-host-leads/runs": { "post": { "operationId": "runs-sync-scrapemint-podcast-host-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~podcast-host-leads/run-sync": { "post": { "operationId": "run-sync-scrapemint-podcast-host-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search keywords", "type": "array", "description": "Topics or niches to find podcasts for (e.g. marketing, true crime, startup, fitness).", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter store country code for the directory. Default US.", "default": "US" }, "maxLeads": { "title": "Max leads", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap total leads scored per run.", "default": 200 }, "maxPerKeyword": { "title": "Max per keyword", "minimum": 1, "maximum": 200, "type": "integer", "description": "Cap shows taken from each keyword (iTunes returns up to 200).", "default": 100 }, "minEpisodes": { "title": "Minimum episodes", "minimum": 0, "type": "integer", "description": "Drop shows with fewer episodes than this. Zero keeps everything.", "default": 0 }, "activeSinceDays": { "title": "Active in last N days", "minimum": 0, "type": "integer", "description": "Only keep shows with a new episode in this many days. Zero keeps all, active or dormant.", "default": 0 }, "requireEmail": { "title": "Only shows with a host email", "type": "boolean", "description": "Skip shows whose RSS feed has no public owner email.", "default": false }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Feeds fetched in parallel.", "default": 8 } } }, "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 } } } } } } } } } } ```