# Reddit Scraper Lite - $0.5/1k results (`microworlds/reddit-scraper-lite`) Actor

Pay Per Result, unlimited Reddit web scraper to crawl posts, comments, communities, and users without login. Limit web scraping by number of posts or items and extract all data in a dataset in multiple formats.

- **URL**: https://apify.com/microworlds/reddit-scraper-lite.md
- **Developed by:** [Caleb David](https://apify.com/microworlds) (community)
- **Categories:** Lead generation, Automation, AI
- **Stats:** 502 total users, 1 monthly users, 100.0% runs succeeded, 15 bookmarks
- **User rating**: 4.94 out of 5 stars

## Pricing

from $0.50 / 1,000 ads scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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 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

## 🚀 Apollo Lead Scraper

Extract verified business leads from Apollo.io with precision and ease.

### ✨ Features

- Pull upto 2,500 leads per URL.
- Paying users have 20 daily run limit.
- Free users have 5 daily run limit.
- Professional details (name, title, LinkedIn profile)
- Contact information (work email, work phone number)
- Company information
- Employment history
- Social media profiles

### 🎯 Use Cases

- **Sales Prospecting**: Find qualified leads with verified contact information
- **Market Research**: Gather insights about companies and their employees
- **Lead Generation**: Build targeted contact lists for your business
- **Competitor Analysis**: Monitor industry professionals and their movements

### ⚙️ Configuration

#### Input Parameters

| Parameter | Description | Default |
|-----------|-------------|---------|
| `url` | Apollo.io search URL to scrape | - |
| `max_result` | Maximum number of leads to scrape | 1000 |
| `contact_email_status_v2` | Filter for verified emails only | true |
| `contact_email_exclude_catch_all` | Exclude catch-all email domains | true |

#### Sample Input

```json
{
  "url": "https://app.apollo.io/#/people?sortByField=recommendations_score&sortAscending=false&page=1&contactEmailStatusV2[]=verified&personTitles[]=sales&contactEmailExcludeCatchAll=true",
  "max_result": 1000,
  "contact_email_status_v2": true,
  "contact_email_exclude_catch_all": true
}
```

### 📊 Output Format

The actor returns detailed lead information in JSON format, including:

- Personal information (name, title, location)
- Contact details (email, phone)
- Professional profiles (LinkedIn, Twitter, GitHub)
- Company information
- Employment history
- Department and function details

#### Sample Output

```json
{
  "id": "65d508bf7e20cd000130236b",
  "first_name": "Roman",
  "last_name": "Bedia",
  "name": "Roman Bedia",
  "linkedin_url": "http://www.linkedin.com/in/roman-bedia-aa5286ba",
  "title": "Sales & Operations",
  "email_status": "verified",
  "email": "<redacted>",
  "photo_url": "https://media.licdn.com/dms/image/...",
  "organization": {
    "name": "AFRICAN SKY CARGO",
    "website_url": "http://www.africanskycargo.com",
    "linkedin_url": "http://www.linkedin.com/company/african-sky-cargo"
  },
  "employment_history": [
    {
      "company_name": "AFRICAN SKY CARGO",
      "title": "Sales & Operations",
      "start_date": "2018-01-01",
      "end_date": "2020-01-01"
    }
  ]
}
```

### 🚀 Getting Started

1. **Configure Input**: Set up your Apollo.io search URL and desired parameters
2. **Run the Actor**: Execute the scraper with your configuration
3. **Download Results**: Get your leads in JSON, Excel, CSV or HTML table formats
4. **Integrate**: Use the data in your CRM or sales automation tools

### 📈 Performance

- **Reliability**: Built-in error handling and retry mechanisms
- **Scalability**: Handle large datasets efficiently

### ⚠️ Disclaimer

The actor pulls emails at 'best-efforts'. Not all leads may include emails. Currently, the it can pull upto ~80% of emails (can be less).

### 🤝 Support

Need help? Open an issue on the "Issues" tab.

***

*Built with ❤️ for sales and marketing professionals*

# Actor input Schema

## `url` (type: `string`):

Enter the Apollo URL you want to scrape.

## `max_result` (type: `integer`):

This value lets you set the maximum number of results to retrieve.

## `contact_email_status_v2` (type: `boolean`):

This filters Apollo results to only include verified emails. That will help you to get better results.

## `contact_email_exclude_catch_all` (type: `boolean`):

This filters Apollo results to exclude catch-all domains. That will help you to get better results.

## Actor input object example

```json
{
  "url": "https://app.apollo.io/#/people?sortByField=recommendations_score&sortAscending=false&page=1&contactEmailStatusV2[]=verified&personTitles[]=sales&contactEmailExcludeCatchAll=true",
  "max_result": 100,
  "contact_email_status_v2": true,
  "contact_email_exclude_catch_all": 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://app.apollo.io/#/people?sortByField=recommendations_score&sortAscending=false&page=1&contactEmailStatusV2[]=verified&personTitles[]=sales&contactEmailExcludeCatchAll=true",
    "max_result": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("microworlds/reddit-scraper-lite").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 = {
    "url": "https://app.apollo.io/#/people?sortByField=recommendations_score&sortAscending=false&page=1&contactEmailStatusV2[]=verified&personTitles[]=sales&contactEmailExcludeCatchAll=true",
    "max_result": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("microworlds/reddit-scraper-lite").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 '{
  "url": "https://app.apollo.io/#/people?sortByField=recommendations_score&sortAscending=false&page=1&contactEmailStatusV2[]=verified&personTitles[]=sales&contactEmailExcludeCatchAll=true",
  "max_result": 100
}' |
apify call microworlds/reddit-scraper-lite --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=microworlds/reddit-scraper-lite",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/JRFihFEj5Z5QBxaSt/builds/kFZZlcnP9eKARRWBv/openapi.json