# Reddit Posts, Comments & Buying-Intent Lead Scraper (`hoanle0126/reddit-lead-monitor-scraper`) Actor

Extract Reddit posts, comments, subreddit discussions, user histories, and high-intent B2B leads with built-in buying-intent scoring, URL extraction, and keyword filtering — zero Reddit API keys or proxies needed.

- **URL**: https://apify.com/hoanle0126/reddit-lead-monitor-scraper.md
- **Developed by:** [Hoan Le](https://apify.com/hoanle0126) (community)
- **Categories:** Lead generation, Social media, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 dataset items

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Reddit Posts, Comments & Buying-Intent Lead Scraper

Extract Reddit posts, comments, subreddit discussions, author activity, and **high-intent B2B leads** across any subreddit or search query — with **zero Reddit API keys** and **zero expensive proxies required**.

***

### Key Features

- **Posts, Comments, or Both**:
  - Scrape subreddit submissions (`posts`), comment threads (`comments`), or both in a single run.
- **Built-In Buying-Intent Lead Scoring (`buyingIntentScore` & `buyingIntentSignals`)**:
  - Automatically detects high-intent B2B signals such as `alternative_search` (*"alternative to"*, *"switching from"*), `tool_recommendation` (*"looking for a tool"*, *"what do you use for"*), `pain_point` (*"frustrated with"*, *"too expensive"*), and `budget_intent` (*"willing to pay"*, *"looking to hire"*).
  - Enable `buyingIntentOnly: true` to filter the dataset down exclusively to actionable leads.
- **Automatic URL & Email Extraction**:
  - Parses every post and comment body to extract mentioned external URLs (`extractedUrls`) and email addresses (`extractedEmails`).
- **Zero Reddit 403 Blocks**:
  - Powered by indexed Reddit API endpoints that work cleanly from standard cloud compute without requiring Residential Proxies or Reddit OAuth keys.

***

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `subreddits` | `string[]` | `["SaaS"]` | Subreddit names (`SaaS`, `entrepreneur`), `r/subreddit` paths, or Reddit URLs. |
| `searchQueries` | `string[]` | `[]` | Optional keywords/phrases to search in post titles, bodies, or comments. |
| `contentType` | `string` | `"posts"` | `"posts"`, `"comments"`, or `"both"`. |
| `maxItemsPerTarget` | `integer` | `50` | Maximum items to return per subreddit/query combination. |
| `buyingIntentOnly` | `boolean` | `false` | Only output items that match B2B buying-intent lead signals. |
| `minScore` | `integer` | `0` | Minimum upvote score filter. |
| `author` | `string` | `""` | Optional Reddit username filter. |
| `afterDate` | `string` | `""` | Optional start date filter (`YYYY-MM-DD`). |

***

### Output Example

```json
{
  "id": "1xlmb42",
  "itemType": "post",
  "subreddit": "SaaS",
  "subredditSubscribers": 215400,
  "author": "ronam3445",
  "authorUrl": "https://www.reddit.com/user/ronam3445",
  "title": "Would a $4/month Loom alternative make sense?",
  "text": "Looking for feedback from teams frustrated with Loom's per-seat pricing...",
  "url": "https://www.reddit.com/r/SaaS/comments/1xlmb42/...",
  "score": 14,
  "upvoteRatio": 0.92,
  "numComments": 23,
  "isBuyingIntentLead": true,
  "buyingIntentScore": 60,
  "buyingIntentSignals": ["alternative_search", "pain_point", "question_intent"],
  "extractedUrls": [],
  "extractedEmails": [],
  "searchQuery": "alternative",
  "createdAt": "2026-11-02T01:48:59.000Z"
}
```

# Actor input Schema

## `subreddits` (type: `array`):

List of subreddits or Reddit URLs to scrape. Leave empty to search across all of Reddit using Search Queries.

## `searchQueries` (type: `array`):

Optional keywords or phrases to search for in post titles, post bodies, or comments (e.g. 'alternative', 'looking for', 'crm'). Leave empty to fetch all recent posts/comments in the target subreddits.

## `contentType` (type: `string`):

Choose whether to extract Reddit posts (submissions), comments, or both.

## `maxItemsPerTarget` (type: `integer`):

Maximum number of items to return per subreddit/query combination.

## `buyingIntentOnly` (type: `boolean`):

When enabled, only returns posts/comments that match buying-intent signals (e.g. 'looking for', 'alternative to', 'recommend', 'switching from', 'best tool for').

## `minScore` (type: `integer`):

Only return posts/comments with an upvote score greater than or equal to this value.

## `author` (type: `string`):

Optional Reddit username (without u/) to extract posts/comments from a specific user.

## `afterDate` (type: `string`):

Optional start date filter (e.g. 2026-10-01).

## Actor input object example

```json
{
  "subreddits": [
    "SaaS",
    "entrepreneur"
  ],
  "searchQueries": [
    "alternative"
  ],
  "contentType": "posts",
  "maxItemsPerTarget": 25,
  "buyingIntentOnly": false,
  "minScore": 0
}
```

# Actor output Schema

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

// Prepare Actor input
const input = {
    "subreddits": [
        "SaaS",
        "entrepreneur"
    ],
    "searchQueries": [
        "alternative"
    ],
    "maxItemsPerTarget": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("hoanle0126/reddit-lead-monitor-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "subreddits": [
        "SaaS",
        "entrepreneur",
    ],
    "searchQueries": ["alternative"],
    "maxItemsPerTarget": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("hoanle0126/reddit-lead-monitor-scraper").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 '{
  "subreddits": [
    "SaaS",
    "entrepreneur"
  ],
  "searchQueries": [
    "alternative"
  ],
  "maxItemsPerTarget": 25
}' |
apify call hoanle0126/reddit-lead-monitor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hoanle0126/reddit-lead-monitor-scraper"
        }
    }
}
```

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/JCAd73hBhiKnBA3Re/builds/FCYufioBhpf81A8cG/openapi.json