# ðŸ“Ą RSS Feed Aggregator (`taroyamada/rss-feed-aggregator`) Actor Aggregate multiple RSS 2.0 and Atom feeds with keyword filtering and deduplication. Supports up to 50 feeds per run. Perfect for content monitoring, news aggregation, competitor tracking. - **URL**: https://apify.com/taroyamada/rss-feed-aggregator.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** News, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## ðŸ“Ą RSS Feed Aggregator Aggregate multiple RSS and Atom feeds with keyword filtering and deduplication. Perfect for content monitoring, news aggregation, competitor tracking. ### Store Quickstart Start with the **Quickstart** template (3 tech blog RSS feeds). For news monitoring, use **Multi-Source** with keyword filter. ### Key Features - ðŸ“Ą **RSS 2.0 + Atom support** — Both major feed formats - 🔍 **Keyword filtering** — Include-list filtering across all feeds - 🔄 **Deduplication** — Unique items across feeds - 📊 **Per-source stats** — Items count per feed - ðŸ“Ķ **Up to 50 feeds** — Bulk aggregate from diverse sources - 🔑 **No API key needed** — Any public RSS/Atom URL ### Use Cases | Who | Why | |-----|-----| | **Content marketers** | Aggregate industry news for weekly newsletters | | **Competitor monitoring** | Track competitor blog publishing | | **Research teams** | Multi-source academic/publication feeds | | **News readers** | Personal content aggregation | | **PR agencies** | Brand monitoring across syndicated sources | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | feedUrls | string[] | (required) | RSS/Atom URLs (max 50) | | keywords | string[] | [] | Include filter keywords | | maxItemsPerFeed | integer | 20 | Max items per feed | | dedup | boolean | true | Deduplicate across feeds | ### Input Example ```json { "feedUrls": ["https://blog.example.com/feed", "https://news.example.com/rss"], "keywords": ["AI", "startup"], "maxItemsPerFeed": 20, "dedup": true } ```` ### Output Example ```json { "source": "Example Blog", "title": "Announcing our new AI product", "link": "https://blog.example.com/ai-product", "pubDate": "2026-04-05T08:00:00Z", "description": "Today we're excited to launch...", "content": "Full content..." } ``` ### FAQ **What feed formats are supported?** RSS 2.0 and Atom 1.0. RDF (RSS 1.0) may work but isn't primary focus. **How does dedup work?** By item link (URL). Items with same URL across feeds are kept once. **Keyword filter: AND or OR?** OR — an item matches if any keyword appears in title or description. **Feed authentication?** No — public feeds only. Authenticated RSS (e.g., Feedly Pro) not supported. ### Related Actors News & Content cluster — explore related Apify tools: - [📰 Google News Scraper](https://apify.com/taroyamada/google-news-scraper) — Scrape Google News articles for any search query via official RSS feed. - [📰 Article Extractor](https://apify.com/taroyamada/article-content-extractor) — Extract clean article content with title, author, publish date, images from news and blog pages. - [📄 Website Content Extractor](https://apify.com/taroyamada/website-content-extractor) — Extract clean main content from any webpage as text, markdown, or HTML. - [📰 Hacker News Scraper](https://apify.com/taroyamada/hacker-news-intelligence) — Fetch Hacker News top, new, best, ask, show, job stories via official Firebase API. ### Cost **Pay Per Event**: - `actor-start`: $0.01 (flat fee per run) - `dataset-item`: $0.002 per output item **Example**: 1,000 items = $0.01 + (1,000 × $0.002) = **$2.01** No subscription required — you only pay for what you use. # Actor input Schema ## `feedUrls` (type: `array`): RSS/Atom feed URLs (max 50). ## `keywords` (type: `array`): Filter items by keywords (optional). ## `maxItemsPerFeed` (type: `integer`): Maximum items per feed ## `deduplicate` (type: `boolean`): Deduplicate ## `timeoutMs` (type: `integer`): Request timeout in milliseconds ## `delivery` (type: `string`): Where to send results: dataset or webhook ## `webhookUrl` (type: `string`): Webhook URL to POST results to (if delivery=webhook) ## `dryRun` (type: `boolean`): Run without saving results (for testing) ## Actor input object example ```json { "feedUrls": [ "https://hnrss.org/frontpage" ], "maxItemsPerFeed": 50, "deduplicate": true, "timeoutMs": 15000, "delivery": "dataset", "dryRun": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "feedUrls": [ "https://hnrss.org/frontpage" ] }; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/rss-feed-aggregator").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū Check your data here: https://console.apify.com/storage/datasets/${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 = { "feedUrls": ["https://hnrss.org/frontpage"] } # Run the Actor and wait for it to finish run = client.actor("taroyamada/rss-feed-aggregator").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 '{ "feedUrls": [ "https://hnrss.org/frontpage" ] }' | apify call taroyamada/rss-feed-aggregator --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/rss-feed-aggregator", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ðŸ“Ą RSS Feed Aggregator", "description": "Aggregate multiple RSS 2.0 and Atom feeds with keyword filtering and deduplication. Supports up to 50 feeds per run. Perfect for content monitoring, news aggregation, competitor tracking.", "version": "0.1", "x-build-id": "LtFD9XbNeJ6okmJwK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~rss-feed-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-rss-feed-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~rss-feed-aggregator/runs": { "post": { "operationId": "runs-sync-taroyamada-rss-feed-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~rss-feed-aggregator/run-sync": { "post": { "operationId": "run-sync-taroyamada-rss-feed-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "feedUrls" ], "properties": { "feedUrls": { "title": "Feed URLs", "type": "array", "description": "RSS/Atom feed URLs (max 50).", "items": { "type": "string" } }, "keywords": { "title": "Keywords", "type": "array", "description": "Filter items by keywords (optional).", "items": { "type": "string" } }, "maxItemsPerFeed": { "title": "Max Items per Feed", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum items per feed", "default": 50 }, "deduplicate": { "title": "Deduplicate", "type": "boolean", "description": "Deduplicate", "default": true }, "timeoutMs": { "title": "Timeout (ms)", "minimum": 1000, "maximum": 30000, "type": "integer", "description": "Request timeout in milliseconds", "default": 15000 }, "delivery": { "title": "Delivery", "enum": [ "dataset", "webhook" ], "type": "string", "description": "Where to send results: dataset or webhook", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Webhook URL to POST results to (if delivery=webhook)" }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Run without saving results (for testing)", "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 } } } } } } } } } } ```