# Substack People Scraper - Low-costπŸ’²πŸ”₯βœοΈπŸ“¬ (`delectable_incubator/substack-people-scraper-low-cost`) Actor βœοΈπŸ” Extract Substack creator profiles by keyword with ease. Collect names, handles, bios, publications, social links, profile images, setup dates, profile URLs, and creator metadata. Ideal for creator discovery, newsletter research, influencer analysis, lead generation & audience intelligence πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/substack-people-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/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

PrimeScrape Substack People Scraper

--- ## βœοΈπŸ“¬ Substack People Scraper | Bulk Substack Profile Scraper | Apify Actor ### πŸš€ Extract Substack People & Publication Data in Seconds (No Code) The **Substack People Scraper** (Apify Actor) is a powerful, scalable and SEO-optimized profile scraping tool built to extract public author and publication data from **Substack**. Collect thousands of Substack creator profiles in bulk, enrich lead databases, discover newsletter authors, analyze publishing trends, build AI datasets, and export everything in structured formats for marketing, CRM enrichment, research, and automation. --- ### πŸ”₯ Why This Substack Scraper? βœ” Best Substack profile scraper on Apify βœ” Supports bulk keyword scraping (multi-search) βœ” Fast & scalable profile extraction βœ” 100% structured JSON / CSV / Excel output βœ” Ideal for creator discovery & newsletter intelligence βœ” Perfect for marketers, agencies, recruiters & data analysts βœ” No coding required --- ### 🎯 What This Scraper Does (Substack Profile Data Extraction) This Apify Actor extracts public Substack people profiles and publication information directly from Substack search results. #### πŸ“Œ Core Features βœ… Search public Substack profiles βœ… Bulk keyword scraping (SEO BOOST πŸš€) βœ… Extract author names & handles βœ… Extract biographies βœ… Extract profile photos βœ… Extract Twitter/X accounts βœ… Extract publication details βœ… Extract publication plans βœ… Extract publication creation dates βœ… Extract profile creation dates βœ… High-speed extraction engine βœ… Clean structured datasets --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK KEYWORD MODE (SEO BOOST πŸš€) ```` { "keywords": \[ "technology", "artificial intelligence", "finance", "marketing", "crypto", "health" ], "max\_items": 200 } ``` --- ### πŸ“Š Extracted Profile Data (Structured Output) | Field | Description | |------|-------------| | id | Unique profile ID | | name | Author name | | handle | Substack username | | previous_name | Previous display name | | photo_url | Profile image | | bio | Author biography | | profile_set_up_at | Profile creation date | | profile_disabled | Disabled status | | twitter | Linked Twitter/X account | | publications | Publication information | Each publication may include: - publication_id - publication_name - subdomain - hero_text - founding_plan_name - created_at - theme_color - payments_state --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This Substack scraper is perfect for: πŸ“¬ Newsletter creator discovery πŸ‘€ Substack profile scraping πŸ“ˆ Creator economy research πŸ“Š Newsletter market analysis 🎯 Lead generation 🏒 CRM enrichment πŸ€– AI training datasets πŸ“’ Influencer discovery πŸ” Media intelligence ⚑ Bulk profile extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk keyword scraping support 🌍 Public Substack profile coverage πŸ“Œ Smart search engine 🧠 Clean structured datasets πŸ“Š High-speed extraction πŸ” Auto retry & stability system πŸ’Ύ Export-ready output ☁️ Scalable cloud execution (Apify Actor) --- ### πŸ“€ Output Formats Supported βœ” JSON (API Ready) βœ” CSV (Excel Analysis) βœ” Excel XLSX βœ” XML βœ” HTML --- ### πŸ“¦ Example Output ``` { "id": 7201506, "name": "John McDonald", "handle": "johnmcdonald711547", "previous\_name": "N/A", "photo\_url": "https://cdn.substack.com/image.jpg", "bio": "I am in the restaurant, media and storytelling business.", "profile\_set\_up\_at": "2021-10-15T16:15:51.489Z", "profile\_disabled": false, "twitter": "N/A", "publications": \[ { "publication\_id": 519118, "name": "BROKEN PALATE", "subdomain": "brokenpalate", "hero\_text": "Where food and culture collide", "founding\_plan\_name": "VIP Member", "created\_at": "2021-10-09T12:15:27.930Z", "theme\_color": "#9A6600", "payments\_state": "enabled" } ] } ```` --- ### πŸ”₯ Why This is the BEST Substack People Scraper on Apify? βœ” Optimized for Apify marketplace ranking βœ” Enterprise-grade scraping engine βœ” Bulk keyword support (rare feature) βœ” Rich creator & publication metadata βœ” Clean structured datasets βœ” High-speed execution βœ” Perfect for creator intelligence βœ” Built for SEO visibility --- ### πŸ’Έ Pricing This scraper uses a **pay-per-result** pricing model. πŸ’³ **Price: $2.38 / 1,000 results** You only pay for successfully extracted profiles. --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple keywords at once? Yes β€” bulk keyword mode is fully supported. #### Can I discover newsletter creators? Absolutely. Search by names, topics, brands, industries, or keywords. #### Does it extract publication information? Yes β€” publication metadata is included whenever available. #### Is coding required? No β€” this is a 100% no-code Apify Actor. #### Can I export my data? Yes β€” JSON, CSV, Excel, XML and HTML are supported. --- ### ⚠️ Disclaimer This tool is an independent data extraction solution and is **not affiliated with, endorsed by, or sponsored by Substack**. --- ### πŸ”— Related Actors (Creator Intelligence Ecosystem) We are building the complete **PrimeScrape Creator Intelligence Suite**. πŸ‘‰ Coming Soon πŸš€ --- ### 🌍 PrimeScrape Ecosystem Built for large-scale scraping, automation, AI datasets, lead generation and market intelligence. πŸ‘€ Creator intelligence πŸ“¬ Newsletter analytics 🏒 Company intelligence πŸ“ˆ Market research πŸ€– AI datasets βš™οΈ Automation pipelines --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper. πŸ“© Contact us through Apify for enterprise requests, custom scraping solutions, or new feature development. # Actor input Schema ## `keywords` (type: `array`): List of keywords. Each keyword will be scraped separately, with its own profile limit (see maxItemsPerKeyword). ## `maxItemsPerKeyword` (type: `integer`): Maximum number of profiles to extract for EACH keyword in the 'keywords' list (not a global total). ## `proxy` (type: `object`): Select the proxy configuration to use for the actor. ## Actor input object example ```json { "keywords": [ "daniel", "marketing" ], "maxItemsPerKeyword": 60, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ```` # 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 = { "keywords": [ "daniel", "marketing" ], "maxItemsPerKeyword": 60, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/substack-people-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "keywords": [ "daniel", "marketing", ], "maxItemsPerKeyword": 60, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/substack-people-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "daniel", "marketing" ], "maxItemsPerKeyword": 60, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call delectable_incubator/substack-people-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/substack-people-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Substack People Scraper - Low-costπŸ’²πŸ”₯βœοΈπŸ“¬", "description": "βœοΈπŸ” Extract Substack creator profiles by keyword with ease. Collect names, handles, bios, publications, social links, profile images, setup dates, profile URLs, and creator metadata. Ideal for creator discovery, newsletter research, influencer analysis, lead generation & audience intelligence πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "Px1gU3Uj79L4VKUjz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~substack-people-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-substack-people-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~substack-people-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-substack-people-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~substack-people-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-substack-people-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords to Search on Substack #️⃣", "type": "array", "description": "List of keywords. Each keyword will be scraped separately, with its own profile limit (see maxItemsPerKeyword).", "default": [ "daniel", "marketing" ], "items": { "type": "string" } }, "maxItemsPerKeyword": { "title": "Maximum Number of Profiles to Scrape per Keyword πŸ“Š", "minimum": 1, "type": "integer", "description": "Maximum number of profiles to extract for EACH keyword in the 'keywords' list (not a global total).", "default": 60 }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Select the proxy configuration to use for the actor.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```