# Substack Email Scraper Fast Advanced And Cheapest (`scraperoka/substack-email-scraper-fast-advanced-and-cheapest`) Actor

🚀 Substack Email Scraper Fast Advanced & Cheapest extracts verified emails from Substack pages quickly and accurately. 💡 Perfect for B2B lead gen, outreach, and market research—fast results at an affordable price. 📩

- **URL**: https://apify.com/scraperoka/substack-email-scraper-fast-advanced-and-cheapest.md
- **Developed by:** [Scraperoka](https://apify.com/scraperoka) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Email Scraper - Fast, Advanced and Cheapest 🎯

Manually hunting down Substack creator contact emails wastes hours you don’t have. **Substack Email Scraper - Fast, Advanced and Cheapest** pulls publicly available emails from Substack using the keywords and email-domain filters you choose. It’s the Substack email scraper (and fast substack email scraper variant) built for marketers, recruiters, and growth teams, so you can turn searches into usable lead lists with thousands of records in a single run.

***

### What You Get: Sample Output

Here's a sample record from a single run:

```json
{
  "network": "Substack.com",
  "keyword": "manager",
  "title": "No title",
  "description": "No data",
  "url": "No URL",
  "email": "alex@gmail.com"
}
```

| Field | Type | What It Tells You |
|---|---|---|
| `network` | string | Confirms the source network for your leads (Substack.com) |
| `keyword` | string | Which keyword/query produced this email result, helping you organize outreach |
| `title` | string | The result title associated with the email finding (useful for context) |
| `description` | string | The extracted text around the finding, helpful when you need extra context |
| `url` | string | The link tied to the result so you can verify or revisit the source |
| `email` | string | The email address extracted from publicly available Substack-related content |

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.

***

### Why Substack Email Scraper - Fast, Advanced and Cheapest?

There are a lot of ways to pull contact data from Substack — here’s what sets **Substack Email Scraper - Fast, Advanced and Cheapest** apart when you need a substack email scraper that stays practical at scale.

#### Fast lead collection with keyword and domain targeting

You control what gets searched by providing `keywords` plus `customDomains` (like `@gmail.com` and `@yahoo.com`). This is how a bulk substack email scraping workflow becomes focused instead of random.

#### Built for deduplicated, usable results

The actor keeps track of already-seen emails so you don’t repeatedly collect the same address in your substack email list builder output.

#### Resilient scraping with progress resume

If a run stops, it can resume using persisted progress (so you keep building your lead set). This makes automated substack email scraping much easier to manage across multiple runs.

#### Output is structured for downstream workflows

Each result is pushed with consistent fields (`network`, `keyword`, `title`, `description`, `url`, `email`), making the output easy to import into your pipeline for a substack contact email scraper tool use case.

***

### Configuring Your Run

Drop this into your `input.json` to get started:

```json
{
  "keywords": ["manager", "founder"],
  "location": "United States",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 50
}
```

| Parameter | Required | What It Does |
|---|---:|---|
| `keywords` | ✅ | A list of keywords or queries used to find relevant Substack results to extract emails from |
| `location` | ⬜ | Optional location filter to narrow the results the actor looks for |
| `customDomains` | ⬜ | List of email domains (examples: `@gmail.com`, `@yahoo.com`) used to filter which emails get collected |
| `maxEmails` | ⬜ | Maximum number of emails to collect; the run stops once the limit is reached (helps control time and cost) |

***

### Core Capabilities

#### Keyword-driven email extraction

Use the `keywords` array to steer what the actor looks for, making this substack subscriber email extractor workflow align with your exact outreach intent. Pair it with domain filters for better precision and fewer irrelevant contacts.

#### Domain filtering for cleaner lead lists

`customDomains` lets you decide which email types you want (for example, common consumer domains or specific patterns). This is especially useful for a substack creator email finder or substack author email extraction workflow where you want relevant inboxes, not generic noise.

#### Deduplication across the full run

The actor tracks `seen_emails` so repeated discoveries don’t create duplicates. That keeps your exported substack email harvesting software results consistent and easier to clean further downstream.

#### Progress saving for repeatable runs

Progress is persisted during the run, allowing the actor to resume without losing the work already done. This makes running a bulk substack email scraping job much more reliable for longer sessions.

#### Dataset-ready output for automation

Results are pushed incrementally to the dataset as structured records containing the fields you need for outreach and verification. It’s built to feed directly into your CRM and email list workflows.

***

### Who Gets the Most Out of This

Here’s how different teams put **Substack Email Scraper - Fast, Advanced and Cheapest** to work:

**Marketing teams** — They run targeted keyword + domain combinations to build a substack email list builder fast, then segment outreach by keyword (so campaigns match intent).

**Recruiters and talent sourcers** — They use the scraped `email` field to contact relevant Substack creators and newsletter authors without manually searching across profiles, saving hours each week.

**Growth teams** — They collect emails for A/B outreach testing and quickly expand their creator pipeline using automated substack email scraping workflows.

**Data analysts and researchers** — They use the structured dataset fields (`keyword`, `url`, `description`, `email`) to quantify which keywords/domains produce higher-yield contacts and refine targeting over time.

**Developers and automation specialists (technical workflow)** — They pull results via the Apify API and connect them to internal systems, turning this substack email scraping API into a reliable, repeatable data source.

***

### Step-by-Step: How to Use It

No coding needed. Here's how to run Substack Email Scraper - Fast, Advanced and Cheapest from start to finish:

1. **Open the actor on Apify** — go to [console.apify.com](https://console.apify.com) and find the actor page.
2. **Enter your inputs** — add your `keywords` (required), and optionally set `location`, `customDomains`, and `maxEmails`.
3. **Configure proxy settings** — choose your preferred proxy option for better reliability on larger runs.
4. **Hit Run and watch the live log** — monitor progress as emails are discovered and pushed into the dataset.
5. **View results in the dataset tab** — each collected lead record appears with `email` and supporting fields.
6. **Export as JSON, CSV, or Excel** — download or move the dataset into your workflow.

The whole process takes under 5 minutes to set up.

***

### Integrations & Export Options

Once your data is collected, **Substack Email Scraper - Fast, Advanced and Cheapest** plugs directly into your existing workflow.

You can export from the Apify dataset tab in common formats like **JSON**, **CSV**, and **Excel**. From there, you can load results into spreadsheets, CRMs, or lead-management tools.

For deeper automation, you can pull results programmatically using the **Apify API** and connect downstream steps via **webhooks**. If you prefer no-code automation, use **Zapier or Make** to push new results wherever your team works (for example, into a spreadsheet, CRM, or email workflow). You can also schedule runs so your substack email scraper operates automatically on a recurring basis—ideal for continuous substack newsletter email scraper lead generation.

API reference: https://apify.com/docs/api

***

### Pricing & Free Trial

Substack Email Scraper - Fast, Advanced and Cheapest runs on the Apify platform, which offers a **free tier** — no credit card required to get started.

Free tier usage is subject to platform credits and may include a limit on collected results for free users. For production workloads, Apify plans and pay-as-you-go billing let you scale by adjusting how much compute you use, while keeping costs predictable through Apify’s pricing model.

Start for free at [apify.com](https://apify.com) and scale when you're ready.

***

### Reliability & Performance

| What We Handle | How |
|---|---|
| Resuming after interruptions | Progress is saved so you can continue from where you left off |
| Result deduplication | Tracks `seen_emails` so duplicates are avoided across the run |
| Controlled output volume | `maxEmails` lets you cap results to manage time and scraping duration |
| Incremental dataset writing | Records are pushed as they are found, so work isn’t lost at the end |
| Higher-yield targeting | Keyword + domain filters help reduce irrelevant email results |

Limitations: The actor only extracts emails that appear in publicly available sources. If the public data contains few matching emails for your chosen `keywords` and `customDomains`, the total collected emails may be lower than `maxEmails`.

For enterprise-scale runs, contact us to discuss custom configurations.

***

### Frequently Asked Questions

#### Is there a free plan or trial?

Yes. Substack Email Scraper - Fast, Advanced and Cheapest runs on Apify, which includes a **free tier** so you can test with smaller jobs.

#### Do I need to log in to Substack to use this?

No. The actor is designed to extract emails from publicly available sources, so you don’t need a Substack login.

#### How accurate is the data?

The extracted `email` values come from publicly available content that matches your keyword and email-domain filters. Accuracy depends on what’s actually present in those public sources.

#### How many results can I get per run?

You control the limit with `maxEmails`. The scraper stops once the number of collected emails reaches your set maximum, and free users may have a capped maximum.

#### How often is the data updated / how fresh is it?

Results are collected during your run, so freshness depends on when you start it. If you need updated data, schedule or re-run the actor based on your cadence.

#### Is this legal? Does it comply with GDPR / CCPA?

You can use the actor to collect **publicly available data**, but compliance requirements like GDPR, CCPA, and platform Terms of Service still fall on you. Always review your local regulations and your internal data-handling policies.

#### Can I export results to Google Sheets or Excel?

Yes. You can export the dataset from the Apify dashboard as JSON, CSV, or Excel, then import into Google Sheets or other tools. You can also automate pipelines with Zapier/Make if needed.

#### Can I run this on a schedule automatically?

Yes. Since the actor runs on Apify, you can schedule recurring executions and keep your substack email list builder updated over time.

#### Can I access this via API?

Yes. You can access results programmatically using the Apify API and integrate them into your own systems.

#### What happens if the actor hits an error?

If something goes wrong, the actor’s progress-saving behavior helps reduce lost work, and results that were already pushed to the dataset remain available. The run output is still written incrementally as data is found.

***

### Need Help or Have a Request?

Got a question about Substack Email Scraper - Fast, Advanced and Cheapest or want a new feature added? Reach out at <dataforleads@gmail.com>. Share what you’re trying to scrape (for example, a specific niche or email-domain mix), and we’ll help you get the best results. We’re actively maintaining and improving this substack email scraper—ideas like webhook notifications on completion or bulk CSV-friendly output enhancements are welcome.

***

### Disclaimer & Responsible Use

*Substack Email Scraper - Fast, Advanced and Cheapest is the fastest, most reliable way to build a targeted Substack email list — start your free run today.*

This actor collects **publicly available data**. It does not access private accounts, login-gated content, or password-protected pages. You’re responsible for complying with GDPR, CCPA, platform Terms of Service, and any applicable local regulations when using and storing the data.

For data removal requests, contact <dataforleads@gmail.com>. Use responsibly, ethically, and only for lawful purposes.

# Actor input Schema

## `keywords` (type: `array`):

A list of keywords or queries to search for.

## `location` (type: `string`):

Location to filter search results.

## `customDomains` (type: `array`):

List of custom email domains

## `maxEmails` (type: `integer`):

Maximum number of emails to collect. The scraper will stop once this limit is reached. Setting a higher limit allows for more potential results but doesn't guarantee reaching that number. This helps save costs by controlling scraping time.

## Actor input object example

```json
{
  "keywords": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "manager",
        "founder"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scraperoka/substack-email-scraper-fast-advanced-and-cheapest").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "manager",
        "founder",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("scraperoka/substack-email-scraper-fast-advanced-and-cheapest").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "manager",
    "founder"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ]
}' |
apify call scraperoka/substack-email-scraper-fast-advanced-and-cheapest --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scraperoka/substack-email-scraper-fast-advanced-and-cheapest"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tLXwIV7DOCwJDRgYo/builds/f9qrEXojT4HTmotLX/openapi.json