# Podcast Sponsor Public Signal Report (`taroyamada/podcast-sponsor-public-signal-report`) Actor Create no-contact sponsor signal and sponsorship-fit reports from public podcast RSS feeds, Apple Podcast URLs, and official show pages. - **URL**: https://apify.com/taroyamada/podcast-sponsor-public-signal-report.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Social media, Business - **Stats:** 2 total users, 1 monthly users, 75.0% 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 ## Podcast Sponsor Public Signal Report Create no-contact sponsor signal reports from public podcast RSS feeds, Apple Podcast URLs, and official show or advertise pages. The output is a research/audit report: public sponsor mentions, advertise-page signals, sponsorship-fit reasons, confidence, warnings, and next actions. This actor deliberately does not collect personal emails, personal phone numbers, host contact details, inferred emails, outreach lists, or private dashboard data. ### First Run ```json { "rssFeedUrls": ["https://example.com/podcast/feed.xml"], "reportTier": "sponsor_snapshot", "maxEpisodesPerFeed": 5, "maxChargeUsd": 9, "dryRun": false } ```` ### Report Tiers - `sponsor_snapshot` emits `sponsor_signal_snapshot` when public sponsor signals are found. - `sponsor_fit` emits `show_sponsor_fit_report` when there is enough evidence for a richer fit report. The recurring watch summary is planned and proof-gated. It is not selectable in the public input schema and is not promoted until the 50-sample benchmark and paid proof gates pass. ### Output Fields - `decisionSummary` - `sponsorSignalScore` - `publicSponsorSignals` - `advertisingPageSignals` - `sponsorshipFitReasons` - `actionList` and `previewReport.nextRunInput` - `status`, `chargedEvent`, `chargedUsd`, `reason` - `sourceUrls`, `warnings`, `errors` ### No-Charge Rules Demo runs, dry runs, source failures, no-signal reports, low-confidence reports, prohibited contact-only findings, hidden watch tier, and maxChargeUsd limit rows are no-charge. ### Source Rules Allowed: public RSS feeds, public Apple Podcast lookup metadata, official public show pages, official public advertise/sponsor/media kit pages. Disallowed: login-only sources, paywalled/private dashboards, inferred personal contact data, host personal emails, personal phone numbers, private social profiles, consent-free outreach lists, and claims that sponsorship or revenue will improve. # Actor input Schema ## `reportTier` (type: `string`): Select the report level. Watch summaries are proof-gated and are not selectable during private validation. ## `rssFeedUrls` (type: `array`): Public podcast RSS feed URLs. ## `applePodcastUrls` (type: `array`): Public Apple Podcast URLs or collection IDs. The actor uses the public iTunes Lookup API to resolve feed URLs when possible. ## `showUrls` (type: `array`): Official public show pages, advertise pages, media kit pages, or sponsor pages. ## `maxEpisodesPerFeed` (type: `integer`): Maximum RSS episodes to inspect per feed. ## `maxChargeUsd` (type: `number`): Safety cap. If the selected tier would exceed this cap, the run returns limit\_reached with no charge. ## `maxReports` (type: `integer`): V1 emits one report per run. ## `demoMode` (type: `boolean`): Return a no-charge sample report without external requests. ## `delivery` (type: `string`): Choose where to deliver the generated sponsor signal report. Dataset delivery is recommended for first runs. ## `webhookUrl` (type: `string`): HTTPS endpoint used when delivery includes webhook. ## `dryRun` (type: `boolean`): Set true to validate input and emit a no-charge sample report without fetching sources or writing dataset rows. ## Actor input object example ```json { "reportTier": "sponsor_snapshot", "rssFeedUrls": [], "applePodcastUrls": [], "showUrls": [], "maxEpisodesPerFeed": 5, "maxChargeUsd": 9, "maxReports": 1, "demoMode": false, "delivery": "dataset", "webhookUrl": "", "dryRun": false } ``` # 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-public-signal-report").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-public-signal-report").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-public-signal-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/podcast-sponsor-public-signal-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast Sponsor Public Signal Report", "description": "Create no-contact sponsor signal and sponsorship-fit reports from public podcast RSS feeds, Apple Podcast URLs, and official show pages.", "version": "0.1", "x-build-id": "vStJn2oI5rgfxB0F5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~podcast-sponsor-public-signal-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-podcast-sponsor-public-signal-report", "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-public-signal-report/runs": { "post": { "operationId": "runs-sync-taroyamada-podcast-sponsor-public-signal-report", "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-public-signal-report/run-sync": { "post": { "operationId": "run-sync-taroyamada-podcast-sponsor-public-signal-report", "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": { "reportTier": { "title": "Report Tier", "enum": [ "sponsor_snapshot", "sponsor_fit" ], "type": "string", "description": "Select the report level. Watch summaries are proof-gated and are not selectable during private validation.", "default": "sponsor_snapshot" }, "rssFeedUrls": { "title": "RSS Feed URLs", "type": "array", "description": "Public podcast RSS feed URLs.", "default": [], "items": { "type": "string" } }, "applePodcastUrls": { "title": "Apple Podcast URLs or IDs", "type": "array", "description": "Public Apple Podcast URLs or collection IDs. The actor uses the public iTunes Lookup API to resolve feed URLs when possible.", "default": [], "items": { "type": "string" } }, "showUrls": { "title": "Official Show / Advertise URLs", "type": "array", "description": "Official public show pages, advertise pages, media kit pages, or sponsor pages.", "default": [], "items": { "type": "string" } }, "maxEpisodesPerFeed": { "title": "Max Episodes Per Feed", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum RSS episodes to inspect per feed.", "default": 5 }, "maxChargeUsd": { "title": "Max Charge USD", "minimum": 0, "maximum": 500, "type": "number", "description": "Safety cap. If the selected tier would exceed this cap, the run returns limit_reached with no charge.", "default": 9 }, "maxReports": { "title": "Max Reports", "minimum": 1, "maximum": 10, "type": "integer", "description": "V1 emits one report per run.", "default": 1 }, "demoMode": { "title": "Demo Mode", "type": "boolean", "description": "Return a no-charge sample report without external requests.", "default": false }, "delivery": { "title": "Delivery Mode", "enum": [ "dataset", "webhook", "dataset_and_webhook" ], "type": "string", "description": "Choose where to deliver the generated sponsor signal report. Dataset delivery is recommended for first runs.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "HTTPS endpoint used when delivery includes webhook.", "default": "" }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Set true to validate input and emit a no-charge sample report without fetching sources or writing dataset rows.", "default": false } } }, "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 } } } } } } } } } } ```