# Substack Scraper — Posts, Engagement & Newsletter Analytics (`samwise.agency/substack-scraper`) Actor Scrape any Substack publication: full post archives with likes, comments, restacks, paywall status, and optional full text. Works with custom domains. Clean JSON/CSV for newsletter research, competitive analysis, and content strategy. - **URL**: https://apify.com/samwise.agency/substack-scraper.md - **Developed by:** [samwise.agency](https://apify.com/samwise.agency) (community) - **Categories:** News, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Substack Scraper — Posts, Engagement & Newsletter Analytics Competitive intelligence for the newsletter economy. Point this Actor at any **Substack publication** — including custom domains — and get the full post archive with engagement metrics and optional full text. **What you can extract:** - 📰 **Full archives** — every post, newest first, with title, subtitle, date, URL - ❤️ **Engagement** — likes, comments, restacks per post - 🔒 **Paywall intelligence** — free vs paid post mix (`audience`, `paywalled`) - 📄 **Full text** (optional) — for free posts, ready for LLM analysis - 🎙️ **Podcast posts** — duration included ### Quick start 1. Click **Run** — default pulls the latest 25 posts from a major tech newsletter 2. Swap in the publications you track (yours, competitors', your niche) 3. Schedule weekly → engagement time series for the whole niche ### Sample output ```json { "type": "post", "publication": "https://newsletter.pragmaticengineer.com", "title": "The Pulse: Big Tech hiring is back", "slug": "the-pulse-big-tech-hiring", "url": "https://newsletter.pragmaticengineer.com/p/the-pulse-big-tech-hiring", "postDate": "2026-07-16T16:48:53.106Z", "audience": "everyone", "paywalled": false, "likes": 412, "comments": 38, "restacks": 51, "wordCount": 2450 } ```` ### Use cases - **Newsletter operators** — benchmark cadence, length, and engagement vs competitors - **Sponsorship buyers** — verify a newsletter's real activity before paying for ads - **Content strategists** — what topics and formats earn likes in your niche - **Ghostwriters & agencies** — research a client's niche in minutes - **LLM pipelines** — full text of free posts for summarization/analysis ### Pricing Pay per post row delivered. ### FAQ **Custom domains?** Yes — enter the domain (e.g. `newsletter.pragmaticengineer.com`) and it just works. **Paywalled content?** Metadata only. This Actor does not bypass paywalls. # Actor input Schema ## `publications` (type: `array`): Substack URLs (https://name.substack.com), custom domains (newsletter.pragmaticengineer.com), or bare names. ## `includeBody` (type: `boolean`): Fetch the full text of each free post (paywalled posts return metadata only). Slower and one extra request per post. ## `maxPostsPerPublication` (type: `integer`): Newest first. ## `proxyConfiguration` (type: `object`): Apify Proxy keeps requests reliable at scale. ## Actor input object example ```json { "publications": [ "newsletter.pragmaticengineer.com" ], "includeBody": false, "maxPostsPerPublication": 25, "proxyConfiguration": { "useApifyProxy": 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 = { "publications": [ "newsletter.pragmaticengineer.com" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("samwise.agency/substack-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 = { "publications": ["newsletter.pragmaticengineer.com"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("samwise.agency/substack-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 '{ "publications": [ "newsletter.pragmaticengineer.com" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call samwise.agency/substack-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=samwise.agency/substack-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Substack Scraper — Posts, Engagement & Newsletter Analytics", "description": "Scrape any Substack publication: full post archives with likes, comments, restacks, paywall status, and optional full text. Works with custom domains. Clean JSON/CSV for newsletter research, competitive analysis, and content strategy.", "version": "0.1", "x-build-id": "m86vKlo7a8bxglLrq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/samwise.agency~substack-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-samwise.agency-substack-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/samwise.agency~substack-scraper/runs": { "post": { "operationId": "runs-sync-samwise.agency-substack-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/samwise.agency~substack-scraper/run-sync": { "post": { "operationId": "run-sync-samwise.agency-substack-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "publications": { "title": "Publications", "type": "array", "description": "Substack URLs (https://name.substack.com), custom domains (newsletter.pragmaticengineer.com), or bare names.", "default": [ "newsletter.pragmaticengineer.com" ], "items": { "type": "string" } }, "includeBody": { "title": "Include full post text", "type": "boolean", "description": "Fetch the full text of each free post (paywalled posts return metadata only). Slower and one extra request per post.", "default": false }, "maxPostsPerPublication": { "title": "Max posts per publication", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Newest first.", "default": 25 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy keeps requests reliable at scale.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```