# Podcast RSS Episode Delta Monitor (`tom_the_builder/podcast-rss-episode-delta-monitor`) Actor Monitor podcast RSS or Atom feeds and return new or changed episode records in normalized JSON. - **URL**: https://apify.com/tom\_the\_builder/podcast-rss-episode-delta-monitor.md - **Developed by:** [Danil Iarmolchik](https://apify.com/tom_the_builder) (community) - **Categories:** Social media, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 episode alerts This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 RSS Episode Delta Monitor Monitor podcast RSS or Atom feeds and receive clean JSON alerts for new or changed episodes. This Actor is useful for: - media monitoring and creator watchlists; - competitor podcast tracking; - AI transcription or summarization pipelines that need fresh audio URLs; - newsletters, social media workflows, and content research systems. ### Output Dataset items include: - `change_type` - `podcast_title` - `episode_title` - `published_at` - `episode_url` - `audio_url` - `duration` - `author` - `feed_url` - `state_key` The Actor also writes `RUN_SUMMARY`, `WEBHOOK_PAYLOAD`, and `OUTPUT` to the default key-value store. ### Delta behavior Use `snapshot` for a full current view. Use `delta` with a stable `stateKey` to receive only new or changed episodes after the first run. MethodLab applied: active_defaults=[MLEVB_011_TRACE_EVIDENCE_HASH_POINTER_TO_RAW_WITNESS, RETEST60A_METHOD_ATTEMPT_LEDGER_NEFF_V1, MLEVB_006_TRACE_PARTIAL_WRITE_PUBLISH_FENCE_UPGRADE]; task_defaults=[RETEST60B_001_prospective_trace_reconciliation, MLD2_109_ATTACK_PARSE_REPAIR_MASKING_ROOT_CAUSE_ATTACK]; dissent_preserved=n/a; evidence=ACTOR.md maps customer-facing claims to output records and delta behavior. # Actor input Schema ## `mode` (type: `string`): Snapshot returns current episodes. Delta returns new or changed episodes compared with previous state. ## `changeMode` (type: `string`): Choose whether delta runs return only new episodes or both new and changed episode records. ## `stateKey` (type: `string`): Namespace for saved comparison state. Use different keys for independent podcast watchlists. ## `feedUrls` (type: `array`): Podcast RSS or Atom feed URLs to monitor. ## `maxEpisodesPerFeed` (type: `integer`): Maximum number of recent episodes to read from each feed. ## `maxItems` (type: `integer`): Maximum number of dataset items written by one run. ## `includeUnchanged` (type: `boolean`): Write unchanged episode records to the dataset together with new or changed alerts. ## `includeRaw` (type: `boolean`): Include the parsed raw feed item in each dataset record for audit use. ## `webhookMode` (type: `string`): Choose whether key-value output contains a compact webhook summary or full alert records. ## `userAgent` (type: `string`): HTTP User-Agent sent when fetching podcast feeds. ## Actor input object example ```json { "mode": "snapshot", "changeMode": "new_and_changed", "stateKey": "podcast-rss-default", "feedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ], "maxEpisodesPerFeed": 25, "maxItems": 100, "includeUnchanged": false, "includeRaw": false, "webhookMode": "full", "userAgent": "podcast-rss-episode-delta-monitor/0.1 (+https://apify.com)" } ```` # Actor output Schema ## `episodeAlerts` (type: `string`): Default dataset items containing snapshot, new, or changed podcast episode records. ## `runSummary` (type: `string`): No description ## `webhookPayload` (type: `string`): No description ## `fullOutput` (type: `string`): No description # 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 = { "feedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ] }; // Run the Actor and wait for it to finish const run = await client.actor("tom_the_builder/podcast-rss-episode-delta-monitor").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 = { "feedUrls": ["https://feeds.npr.org/510289/podcast.xml"] } # Run the Actor and wait for it to finish run = client.actor("tom_the_builder/podcast-rss-episode-delta-monitor").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 '{ "feedUrls": [ "https://feeds.npr.org/510289/podcast.xml" ] }' | apify call tom_the_builder/podcast-rss-episode-delta-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tom_the_builder/podcast-rss-episode-delta-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Podcast RSS Episode Delta Monitor", "description": "Monitor podcast RSS or Atom feeds and return new or changed episode records in normalized JSON.", "version": "0.1", "x-build-id": "GffOTCjD1Qvf5qqSH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tom_the_builder~podcast-rss-episode-delta-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tom_the_builder-podcast-rss-episode-delta-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tom_the_builder~podcast-rss-episode-delta-monitor/runs": { "post": { "operationId": "runs-sync-tom_the_builder-podcast-rss-episode-delta-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tom_the_builder~podcast-rss-episode-delta-monitor/run-sync": { "post": { "operationId": "run-sync-tom_the_builder-podcast-rss-episode-delta-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Run mode", "enum": [ "snapshot", "delta" ], "type": "string", "description": "Snapshot returns current episodes. Delta returns new or changed episodes compared with previous state.", "default": "snapshot" }, "changeMode": { "title": "Delta mode", "enum": [ "new_only", "new_and_changed" ], "type": "string", "description": "Choose whether delta runs return only new episodes or both new and changed episode records.", "default": "new_and_changed" }, "stateKey": { "title": "State key", "type": "string", "description": "Namespace for saved comparison state. Use different keys for independent podcast watchlists.", "default": "podcast-rss-default" }, "feedUrls": { "title": "Podcast feed URLs", "type": "array", "description": "Podcast RSS or Atom feed URLs to monitor.", "items": { "type": "string" } }, "maxEpisodesPerFeed": { "title": "Max episodes per feed", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of recent episodes to read from each feed.", "default": 25 }, "maxItems": { "title": "Max output items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of dataset items written by one run.", "default": 100 }, "includeUnchanged": { "title": "Include unchanged", "type": "boolean", "description": "Write unchanged episode records to the dataset together with new or changed alerts.", "default": false }, "includeRaw": { "title": "Include raw XML item", "type": "boolean", "description": "Include the parsed raw feed item in each dataset record for audit use.", "default": false }, "webhookMode": { "title": "Webhook payload", "enum": [ "summary", "full" ], "type": "string", "description": "Choose whether key-value output contains a compact webhook summary or full alert records.", "default": "full" }, "userAgent": { "title": "User-Agent", "type": "string", "description": "HTTP User-Agent sent when fetching podcast feeds.", "default": "podcast-rss-episode-delta-monitor/0.1 (+https://apify.com)" } } }, "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 } } } } } } } } } } ```