# Beehiiv Newsletter Scraper (`jungle_synthesizer/beehiiv-newsletter-scraper`) Actor Scrape posts from any beehiiv-powered newsletter. Input publication domains — the actor discovers post URLs via sitemap and extracts title, author, publish date, excerpt, cover image, tags, and word count. Supports multi-newsletter fan-out in a single run. - **URL**: https://apify.com/jungle\_synthesizer/beehiiv-newsletter-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, For creators - **Stats:** 2 total users, 1 monthly users, 100.0% 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 ## Beehiiv Newsletter Scraper Scrape posts from any beehiiv-powered newsletter. Input a list of publication domains or subdomains — the actor discovers post URLs via sitemap and extracts title, author, publish date, excerpt, cover image, tags, and word count. Supports multi-newsletter fan-out in a single run. ### What it does The actor accepts a list of beehiiv publication domains (e.g. `readthepeak.com`, `discover.beehiiv.com`) and for each domain: 1. Fetches `/sitemap.xml` to discover all public post URLs matching the `/p/` pattern. 2. Crawls each post page and extracts structured data from the embedded JSON-LD Article schema. 3. Yields one record per post with all metadata fields. Publications that sit behind Cloudflare or other anti-bot measures are gracefully skipped with a warning. Free posts are scraped; paywalled posts (where `isAccessibleForFree: false` in JSON-LD) are automatically skipped. ### Input | Parameter | Type | Description | |-----------|------|-------------| | `domains` | array | List of publication domains. Accepts bare domains (`readthepeak.com`), subdomains (`mybrand.beehiiv.com`), or full URLs (`https://readthepeak.com`). | | `maxItems` | integer | Maximum posts to scrape **per publication** (0 = unlimited). Default: 10. | **Example input:** ```json { "domains": ["readthepeak.com", "discover.beehiiv.com"], "maxItems": 50 } ```` ### Output Each record contains: | Field | Description | |-------|-------------| | `publication_domain` | Input domain (e.g. `readthepeak.com`) | | `publication_name` | Newsletter name from JSON-LD publisher | | `post_url` | Canonical post URL | | `post_title` | Post headline | | `post_subtitle` | Post subtitle / description | | `author` | Author name | | `publish_date` | ISO 8601 publish timestamp | | `excerpt` | Short description (up to 300 chars) | | `cover_image_url` | Cover image URL | | `word_count` | Estimated word count of post body | | `tags` | Comma-separated tags | | `full_text` | Full post body text (empty unless `include_full_text` is set) | | `scraped_at` | ISO 8601 scrape timestamp | **Example output record:** ```json { "publication_domain": "readthepeak.com", "publication_name": "The Peak", "post_url": "https://www.readthepeak.com/p/canadian-universities-are-falling-behind", "post_title": "Canadian universities are falling behind", "post_subtitle": "Canada's post-secondary schools are losing their edge.", "author": "Lucas Arender", "publish_date": "2026-06-02T10:00:00.000Z", "excerpt": "Canada's post-secondary schools are losing their edge.", "cover_image_url": "https://beehiiv-images-production.s3.amazonaws.com/...", "word_count": 291, "tags": "Water Cooler, Perspectives", "full_text": "", "scraped_at": "2026-06-02T20:39:48.116Z" } ``` ### Limitations - Publications behind Cloudflare or PerimeterX (e.g. some high-traffic custom domains) will return a warning and be skipped. Use a different domain format if the publication has a `*.beehiiv.com` subdomain that is not CF-walled. - Paywalled posts (subscriber-only) are detected via JSON-LD and automatically skipped. - Publications without a `sitemap.xml` or with no `/p/` posts in their sitemap are skipped. - `full_text` extraction is best-effort — post body selectors may vary slightly across beehiiv themes. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `domains` (type: `array`): List of beehiiv publication domains or subdomains to scrape. Accepts bare domains (readthepeak.com), subdomains (mybrand.beehiiv.com), or full URLs (https://readthepeak.com). ## `maxItems` (type: `integer`): Maximum number of posts to scrape per publication (0 = unlimited) ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "domains": [ "readthepeak.com" ], "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "domains": [ "readthepeak.com" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/beehiiv-newsletter-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "domains": ["readthepeak.com"], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/beehiiv-newsletter-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "domains": [ "readthepeak.com" ], "maxItems": 10 }' | apify call jungle_synthesizer/beehiiv-newsletter-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/beehiiv-newsletter-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Beehiiv Newsletter Scraper", "description": "Scrape posts from any beehiiv-powered newsletter. Input publication domains — the actor discovers post URLs via sitemap and extracts title, author, publish date, excerpt, cover image, tags, and word count. Supports multi-newsletter fan-out in a single run.", "version": "0.1", "x-build-id": "TcFr1cbqz8u4ScEK7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~beehiiv-newsletter-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-beehiiv-newsletter-scraper", "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/jungle_synthesizer~beehiiv-newsletter-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-beehiiv-newsletter-scraper", "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/jungle_synthesizer~beehiiv-newsletter-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-beehiiv-newsletter-scraper", "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": [ "domains", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "domains": { "title": "Publication Domains", "type": "array", "description": "List of beehiiv publication domains or subdomains to scrape. Accepts bare domains (readthepeak.com), subdomains (mybrand.beehiiv.com), or full URLs (https://readthepeak.com).", "items": { "type": "string" } }, "maxItems": { "title": "Max Items Per Publication", "type": "integer", "description": "Maximum number of posts to scrape per publication (0 = unlimited)", "default": 10 } } }, "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 } } } } } } } } } } ```