# Podcast Guest Discovery – Contact Enrichment & Booking (`conceivable_extension/podcast-guest-discovery`) Actor Finds podcast episodes by topic or guest name, extracts host contact details and booking links, scores episode reach, and exports structured leads for outreach — ideal for PR teams, authors, and speakers building a media presence. - **URL**: https://apify.com/conceivable\_extension/podcast-guest-discovery.md - **Developed by:** [joseph fadero](https://apify.com/conceivable_extension) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 host contact enricheds 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 ## Podcast Guest Discovery – Contact Enrichment & Booking Find podcasts that cover your topic, extract host contact details and booking links, and export structured leads ready for outreach — built for PR teams, authors, speakers, and founders. ### Features - **iTunes + Apple Podcasts search** — searches millions of podcasts by topic, keyword, or guest name - **Website enrichment** — visits each podcast website to extract host email addresses and booking/pitch links - **Booking link detection** — finds Calendly, Typeform, Airtable, and text-based guest application links - **Reach scoring** — scores each podcast on a 0–100 scale (major / established / growing / niche) - **Deduplication** — cross-run KV Store tracks seen podcast IDs to avoid duplicate outreach data ### Inputs | Field | Default | Description | |-------|---------|-------------| | `topics` | required | Topics or keywords to search (e.g. "SaaS", "AI", "productivity") | | `guestNames` | [] | Specific guest names to look up across podcast databases | | `language` | `en` | ISO 639-1 language code filter | | `minReviewCount` | 10 | Minimum review count to include a podcast | | `maxResults` | 50 | Max results per topic | | `enrichContactDetails` | true | Scrape podcast website for host email | | `detectGuestBookingLinks` | true | Detect guest application and booking links | ### Output fields Each lead includes: `podcastTitle`, `hostName`, `feedUrl`, `websiteUrl`, `hostEmail`, `bookingUrl`, `socialLinks`, `reachScore`, `reachTier`, `reviewCount`, `averageRating`, `episodeCount`, `lastEpisodeDate`, `matchedTopic`, `scrapedAt`. ### Pricing (PPE) - `podcast-scanned` — charged per podcast examined - `new-lead` — charged per new podcast lead exported ### Related actors - [Newsletter Intelligence](https://apify.com/conceivable_extension/newsletter-intelligence) — find Substack and Beehiiv newsletters covering the same topics as the podcasts you discover - [Reddit Keyword Monitor](https://apify.com/conceivable_extension/reddit-keyword-monitor) — find the Reddit communities the podcast audiences are active in - [LinkedIn Contact Enricher](https://apify.com/conceivable_extension/linkedin-contact-enricher) — enrich podcast host contact details for outreach # Actor input Schema ## `topics` (type: `array`): List of topics or keywords to search for in podcast directories (e.g. 'SaaS', 'productivity', 'AI'). ## `guestNames` (type: `array`): Optional list of specific guest names to search for across podcast databases. ## `language` (type: `string`): Only return podcasts in this language. Use ISO 639-1 codes (e.g. 'en' for English, 'de' for German). ## `minReviewCount` (type: `integer`): Only include podcasts with at least this many reviews. Higher values filter to well-established shows. ## `maxResults` (type: `integer`): Maximum number of podcast results to return per topic or guest name search. ## `enrichContactDetails` (type: `boolean`): If enabled, visits each podcast website to extract host email addresses and booking/pitch links. ## `detectGuestBookingLinks` (type: `boolean`): If enabled, scans podcast websites for guest application forms, Calendly links, or pitch submission pages. ## Actor input object example ```json { "topics": [ "SaaS", "entrepreneurship" ], "guestNames": [], "language": "en", "minReviewCount": 10, "maxResults": 50, "enrichContactDetails": true, "detectGuestBookingLinks": true } ```` # 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 = { "topics": [ "SaaS", "entrepreneurship" ], "guestNames": [] }; // Run the Actor and wait for it to finish const run = await client.actor("conceivable_extension/podcast-guest-discovery").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 = { "topics": [ "SaaS", "entrepreneurship", ], "guestNames": [], } # Run the Actor and wait for it to finish run = client.actor("conceivable_extension/podcast-guest-discovery").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 '{ "topics": [ "SaaS", "entrepreneurship" ], "guestNames": [] }' | apify call conceivable_extension/podcast-guest-discovery --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=conceivable_extension/podcast-guest-discovery", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Guest Discovery – Contact Enrichment & Booking", "description": "Finds podcast episodes by topic or guest name, extracts host contact details and booking links, scores episode reach, and exports structured leads for outreach — ideal for PR teams, authors, and speakers building a media presence.", "version": "1.0", "x-build-id": "sPCinZqx38qx9XkvZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/conceivable_extension~podcast-guest-discovery/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-conceivable_extension-podcast-guest-discovery", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/conceivable_extension~podcast-guest-discovery/runs": { "post": { "operationId": "runs-sync-conceivable_extension-podcast-guest-discovery", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/conceivable_extension~podcast-guest-discovery/run-sync": { "post": { "operationId": "run-sync-conceivable_extension-podcast-guest-discovery", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "topics" ], "properties": { "topics": { "title": "Topics / Keywords", "type": "array", "description": "List of topics or keywords to search for in podcast directories (e.g. 'SaaS', 'productivity', 'AI').", "items": { "type": "string" } }, "guestNames": { "title": "Guest Names", "type": "array", "description": "Optional list of specific guest names to search for across podcast databases.", "items": { "type": "string" } }, "language": { "title": "Language Filter", "type": "string", "description": "Only return podcasts in this language. Use ISO 639-1 codes (e.g. 'en' for English, 'de' for German).", "default": "en" }, "minReviewCount": { "title": "Minimum Review Count", "minimum": 0, "type": "integer", "description": "Only include podcasts with at least this many reviews. Higher values filter to well-established shows.", "default": 10 }, "maxResults": { "title": "Max Results Per Topic", "minimum": 5, "maximum": 200, "type": "integer", "description": "Maximum number of podcast results to return per topic or guest name search.", "default": 50 }, "enrichContactDetails": { "title": "Enrich Contact Details", "type": "boolean", "description": "If enabled, visits each podcast website to extract host email addresses and booking/pitch links.", "default": true }, "detectGuestBookingLinks": { "title": "Detect Guest Booking Links", "type": "boolean", "description": "If enabled, scans podcast websites for guest application forms, Calendly links, or pitch submission pages.", "default": true } } }, "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 } } } } } } } } } } ```