# Podcast Sponsor Evidence Research (`taroyamada/podcast-sponsor-contact-intelligence`) Actor Find public podcast sponsor evidence, advertiser mentions, publisher pages, RSS feeds, and source-linked sponsorship research rows. - **URL**: https://apify.com/taroyamada/podcast-sponsor-contact-intelligence.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Business, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 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 ## Podcast Sponsor Evidence Research Find public podcast sponsor evidence, advertiser mentions, publisher pages, RSS feeds, and source-linked sponsorship research rows. Podcast advertising teams use this actor to research public sponsor evidence and show-level publisher links without bulk-messaging positioning. ### Store Quickstart 1. Start with the example input in `store-input.example.json`. 2. Keep `dryRun=true` for a sample row, then set `dryRun=false` only when the required source access is ready. 3. Review the output rows and `billingEventName` values before scheduling recurring runs. ### Input Examples ```json { "rssFeedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ], "showUrls": [], "searchTerms": [ "marketing podcast" ], "maxEpisodesPerFeed": 8, "emitResearchExport": true, "emitUnchanged": false, "dryRun": true } ```` ```json { "rssFeedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ], "showUrls": [], "searchTerms": [ "ecommerce podcast" ], "maxEpisodesPerFeed": 8, "emitResearchExport": true, "emitUnchanged": false, "dryRun": true } ``` ```json { "rssFeedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ], "showUrls": [], "searchTerms": [ "marketing podcast" ], "maxEpisodesPerFeed": 8, "emitResearchExport": false, "emitUnchanged": false, "dryRun": false } ``` ### Sample Output See `docs/sample-output.json` for a complete sample. ### Output Fields Every row includes: - `billingEventName` for PAY\_PER\_EVENT charging - `sourceName`, `sourceUrl`, `retrievedAt`, and `sourceMethod` - `authorizationBasis` - `limitations` and `prohibitedInterpretations` ### Pricing PAY\_PER\_EVENT is planned with a very small actor-start event and outcome-priced rows: - `podcast-enriched-show`: $0.06 - `podcast-sponsor-evidence`: $0.35 - `podcast-research-export`: $6 No-change runs must emit zero default dataset rows and zero billable events by default. ### Compliance Guardrails - Use public RSS, public show pages, and public podcast search surfaces. - Do not position sponsor evidence or publisher links for bulk messaging or non-compliant messaging practices. - Keep sponsor evidence source-linked and reviewable. ### See Also - `apple-podcast-scraper` for the current proven media-data winner. - `reports/revenue-summary.md` for the April 2026 revenue baseline. - `reports/phase87-high-ev-implementation-latest.json` for this Phase 8.7 launch gate summary. # Actor input Schema ## `rssFeedUrls` (type: `array`): Public podcast RSS feed URLs to inspect. ## `showUrls` (type: `array`): Public podcast show or publisher pages to inspect. ## `searchTerms` (type: `array`): Optional Apple iTunes Search API terms for feed discovery. ## `maxEpisodesPerFeed` (type: `integer`): Maximum RSS episode items to inspect per feed. ## `emitResearchExport` (type: `boolean`): Emit one sponsorship research export row when evidence rows are found. ## `emitUnchanged` (type: `boolean`): When false, previously seen evidence is suppressed. ## `dryRun` (type: `boolean`): When true, emit sample rows locally without external live calls or billing. ## Actor input object example ```json { "rssFeedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ], "showUrls": [], "searchTerms": [ "marketing podcast" ], "maxEpisodesPerFeed": 8, "emitResearchExport": true, "emitUnchanged": false, "dryRun": 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/podcast-sponsor-contact-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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("taroyamada/podcast-sponsor-contact-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 taroyamada/podcast-sponsor-contact-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/podcast-sponsor-contact-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Sponsor Evidence Research", "description": "Find public podcast sponsor evidence, advertiser mentions, publisher pages, RSS feeds, and source-linked sponsorship research rows.", "version": "0.1", "x-build-id": "WUkgcHIyGEfDvQ265" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~podcast-sponsor-contact-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-podcast-sponsor-contact-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~podcast-sponsor-contact-intelligence/runs": { "post": { "operationId": "runs-sync-taroyamada-podcast-sponsor-contact-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~podcast-sponsor-contact-intelligence/run-sync": { "post": { "operationId": "run-sync-taroyamada-podcast-sponsor-contact-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "rssFeedUrls": { "title": "RSS feed URLs", "type": "array", "description": "Public podcast RSS feed URLs to inspect.", "items": { "type": "string" }, "default": [ "https://feeds.npr.org/510289/podcast.xml" ] }, "showUrls": { "title": "Show URLs", "type": "array", "description": "Public podcast show or publisher pages to inspect.", "items": { "type": "string" }, "default": [] }, "searchTerms": { "title": "Apple Podcast search terms", "type": "array", "description": "Optional Apple iTunes Search API terms for feed discovery.", "items": { "type": "string" }, "default": [ "marketing podcast" ] }, "maxEpisodesPerFeed": { "title": "Max episodes per feed", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum RSS episode items to inspect per feed.", "default": 8 }, "emitResearchExport": { "title": "Emit research export", "type": "boolean", "description": "Emit one sponsorship research export row when evidence rows are found.", "default": true }, "emitUnchanged": { "title": "Emit unchanged rows", "type": "boolean", "description": "When false, previously seen evidence is suppressed.", "default": false }, "dryRun": { "title": "Dry run", "type": "boolean", "description": "When true, emit sample rows locally without external live calls or billing.", "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 } } } } } } } } } } ```