# Newsletter Intelligence – Substack & Beehiiv (`conceivable_extension/newsletter-intelligence`) Actor Monitors Substack and Beehiiv newsletters by keyword or author, extracts post metadata and engagement signals, detects advertising slots and sponsorship mentions, and exports structured data for competitor analysis and media buying. - **URL**: https://apify.com/conceivable\_extension/newsletter-intelligence.md - **Developed by:** [joseph fadero](https://apify.com/conceivable_extension) (community) - **Categories:** News, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 sponsor detecteds 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 ## Newsletter Intelligence – Substack & Beehiiv Monitor Substack and Beehiiv newsletters for keywords, sponsorship mentions, and engagement signals. Export structured post data for competitor analysis, media buying, and content intelligence. ### Features - **Multi-platform monitoring** — supports Substack (API) and Beehiiv (HTML scrape) in one run - **Keyword filtering** — only return posts matching specified keywords in title or excerpt - **Sponsorship detection** — identifies sponsor mentions, ad slots, promo codes, and partner disclosures - **Deduplication** — cross-run KV Store prevents duplicate post entries - **Paywall-aware** — optionally include or exclude paywalled posts (metadata only) ### Inputs | Field | Default | Description | |-------|---------|-------------| | `substackUrls` | [] | Substack newsletter base URLs to monitor | | `beehiivUrls` | [] | Beehiiv newsletter base URLs to monitor | | `keywords` | [] | Filter posts by keyword (empty = return all) | | `maxPostsPerNewsletter` | 20 | Max recent posts to fetch per newsletter | | `detectSponsorships` | true | Scan for sponsorship and ad mentions | | `includePaywalled` | true | Include paywalled post metadata | ### Output fields Each post includes: `newsletterName`, `platform`, `postTitle`, `excerpt`, `postUrl`, `publishedAt`, `isPaywalled`, `authorName`, `matchedKeywords`, `hasSponsorship`, `sponsorMentions`, `estimatedSubscribers`, `scrapedAt`. ### Pricing (PPE) - `post-scanned` — charged per post examined - `new-post` — charged per new post delivered ### Related actors - [Podcast Guest Discovery](https://apify.com/conceivable_extension/podcast-guest-discovery) — find podcasts in the same niche as the newsletters you are analysing - [Reddit Keyword Monitor](https://apify.com/conceivable_extension/reddit-keyword-monitor) — monitor Reddit communities that overlap with your newsletter audience - [LLM-Ready Web Scraper](https://apify.com/conceivable_extension/llm-ready-web-scraper) — extract newsletter content as clean text for RAG pipelines and AI workflows # Actor input Schema ## `substackUrls` (type: `array`): List of Substack newsletter base URLs to monitor (e.g. 'https://example.substack.com'). ## `beehiivUrls` (type: `array`): List of Beehiiv newsletter base URLs to monitor (e.g. 'https://www.newsletter.com'). ## `keywords` (type: `array`): Only return posts that contain at least one of these keywords in the title or excerpt. Leave empty to return all posts. ## `maxPostsPerNewsletter` (type: `integer`): Maximum number of recent posts to fetch per newsletter. ## `detectSponsorships` (type: `boolean`): If enabled, scans post content for sponsorship mentions, ad slots, and partner disclosures. ## `includePaywalled` (type: `boolean`): If enabled, includes paywalled post metadata (title and excerpt only — full content not accessible). ## Actor input object example ```json { "substackUrls": [], "beehiivUrls": [], "keywords": [], "maxPostsPerNewsletter": 20, "detectSponsorships": true, "includePaywalled": 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 = { "substackUrls": [], "beehiivUrls": [], "keywords": [] }; // Run the Actor and wait for it to finish const run = await client.actor("conceivable_extension/newsletter-intelligence").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 = { "substackUrls": [], "beehiivUrls": [], "keywords": [], } # Run the Actor and wait for it to finish run = client.actor("conceivable_extension/newsletter-intelligence").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 '{ "substackUrls": [], "beehiivUrls": [], "keywords": [] }' | apify call conceivable_extension/newsletter-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=conceivable_extension/newsletter-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Newsletter Intelligence – Substack & Beehiiv", "description": "Monitors Substack and Beehiiv newsletters by keyword or author, extracts post metadata and engagement signals, detects advertising slots and sponsorship mentions, and exports structured data for competitor analysis and media buying.", "version": "1.0", "x-build-id": "DT2c2Rz0L9cGnFguP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/conceivable_extension~newsletter-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-conceivable_extension-newsletter-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/conceivable_extension~newsletter-intelligence/runs": { "post": { "operationId": "runs-sync-conceivable_extension-newsletter-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/conceivable_extension~newsletter-intelligence/run-sync": { "post": { "operationId": "run-sync-conceivable_extension-newsletter-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "substackUrls": { "title": "Substack Newsletter URLs", "type": "array", "description": "List of Substack newsletter base URLs to monitor (e.g. 'https://example.substack.com').", "items": { "type": "string" } }, "beehiivUrls": { "title": "Beehiiv Newsletter URLs", "type": "array", "description": "List of Beehiiv newsletter base URLs to monitor (e.g. 'https://www.newsletter.com').", "items": { "type": "string" } }, "keywords": { "title": "Filter Keywords", "type": "array", "description": "Only return posts that contain at least one of these keywords in the title or excerpt. Leave empty to return all posts.", "items": { "type": "string" } }, "maxPostsPerNewsletter": { "title": "Max Posts Per Newsletter", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of recent posts to fetch per newsletter.", "default": 20 }, "detectSponsorships": { "title": "Detect Sponsorships", "type": "boolean", "description": "If enabled, scans post content for sponsorship mentions, ad slots, and partner disclosures.", "default": true }, "includePaywalled": { "title": "Include Paywalled Posts", "type": "boolean", "description": "If enabled, includes paywalled post metadata (title and excerpt only — full content not accessible).", "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 } } } } } } } } } } ```