# Reddit Lead Finder & Sentiment Monitor - No Login (`groupoject/reddit-lead-finder-sentiment-monitor`) Actor

Find buying-intent Reddit posts and comments by keyword, subreddit, or post URL. Classify pain points, alternatives, pricing complaints, competitor mentions, sentiment, urgency, and lead score. No API key or login.

- **URL**: https://apify.com/groupoject/reddit-lead-finder-sentiment-monitor.md
- **Developed by:** [Group Oject](https://apify.com/groupoject) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 reddit lead signals

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?

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

## Reddit Lead Finder & Sentiment Monitor - No Login

Find Reddit posts and comments where people are actively asking for recommendations, comparing products, complaining about competitors, discussing pricing, or looking for alternatives.

This Actor is built for sales teams, founders, marketers, agencies, product teams, and AI agents that need Reddit buyer signals without setting up the Reddit API.

### What You Get

- Reddit posts from keyword searches, subreddits, and direct post URLs
- Optional top comments from each thread
- `leadScore` from 0 to 100 for each post or comment
- Buying-intent labels such as `buying_intent`, `pricing_pain`, `competitor_alternative`, `pain_point`, `urgent`, and `vendor_research`
- Matched intent keywords, pain keywords, brands, and competitors
- Simple sentiment label and score
- Source links back to Reddit
- Clean JSON for CRM enrichment, prospecting workflows, dashboards, alerts, and AI agents

### Why This Is Different From a Generic Reddit Scraper

Most Reddit scrapers give you raw posts. This Actor turns public Reddit discussions into a lead and market-research feed.

Use it to find:

- People asking for the best tool in your category
- Users complaining that a competitor is too expensive
- Threads comparing your product with alternatives
- Pain points your sales team can respond to
- Product feedback from communities
- Market research for startup ideas, SaaS categories, AI tools, local services, and agencies

### Quick Start

```json
{
  "searchQueries": [
    "best CRM alternative",
    "HubSpot too expensive",
    "recommend project management tool"
  ],
  "subreddits": ["SaaS", "smallbusiness", "Entrepreneur"],
  "targetBrands": ["HubSpot", "Notion"],
  "competitors": ["Salesforce", "Pipedrive", "Monday"],
  "analysisMode": "all",
  "minLeadScore": 25,
  "sort": "new",
  "maxItemsPerSource": 10,
  "maxTotalItems": 40,
  "includeComments": true,
  "maxComments": 3
}
```

### High-Value Search Examples

```json
{
  "searchQueries": [
    "Salesforce alternative",
    "Pipedrive alternative",
    "HubSpot vs Salesforce",
    "switching from HubSpot"
  ],
  "subreddits": ["sales", "CRM", "smallbusiness", "SaaS"],
  "targetBrands": ["HubSpot"],
  "competitors": ["Salesforce", "Pipedrive", "Zoho", "Monday"],
  "analysisMode": "competitor_alternatives",
  "minLeadScore": 30,
  "maxTotalItems": 100,
  "includeComments": true
}
```

```json
{
  "searchQueries": [
    "best AI tool for marketing",
    "ChatGPT alternative for business",
    "recommend AI writing tool",
    "AI customer support tool"
  ],
  "subreddits": ["ArtificialInteligence", "SaaS", "marketing", "smallbusiness"],
  "targetBrands": ["OpenAI", "ChatGPT", "Claude"],
  "competitors": ["Jasper", "Copy.ai", "Intercom", "Zendesk"],
  "analysisMode": "buying_intent",
  "minLeadScore": 35,
  "maxTotalItems": 100,
  "includeComments": true
}
```

### Input Fields

| Field | Type | Default | Description |
|---|---|---:|---|
| `searchQueries` | string\[] | sample list | Reddit search phrases |
| `subreddits` | string\[] | sample list | Subreddit names or URLs |
| `targetBrands` | string\[] | optional | Brands/products to detect |
| `competitors` | string\[] | optional | Competitors to flag |
| `analysisMode` | string | `all` | `all`, `buying_intent`, `complaints`, or `competitor_alternatives` |
| `minLeadScore` | integer | `25` | Only output rows with this score or higher |
| `intentKeywords` | string\[] | built in | Buying-intent phrases |
| `painKeywords` | string\[] | built in | Complaint and pain-point phrases |
| `postUrls` | string\[] | - | Direct Reddit post URLs |
| `sort` | string | `new` | `hot`, `new`, `top`, or `rising` |
| `time` | string | `month` | Time window for `top` sorting |
| `maxItemsPerSource` | integer | `50` | Max posts per subreddit/search |
| `maxTotalItems` | integer | `100` | Hard cap across posts and comments |
| `includeComments` | boolean | `true` | Analyze top comments as separate rows |
| `maxComments` | integer | `5` | Top comments per post |
| `dedupe` | boolean | `true` | Deduplicate records across sources |
| `requestDelayMs` | integer | `700` | Delay between Reddit requests |
| `proxyConfiguration` | object | Apify Proxy | Proxy settings for larger runs |

### Output

Each dataset item is a Reddit post or comment enriched with lead fields.

```json
{
  "recordType": "post",
  "leadScore": 72,
  "leadLabels": ["buying_intent", "competitor_alternative", "pricing_pain"],
  "sentimentLabel": "negative",
  "sentimentScore": -0.5,
  "matchedIntentKeywords": ["alternative", "anyone use"],
  "matchedPainKeywords": ["too expensive"],
  "matchedBrands": ["HubSpot"],
  "matchedCompetitors": ["Salesforce"],
  "summarySnippet": "Looking for a HubSpot alternative because pricing is getting too expensive...",
  "subreddit": "SaaS",
  "title": "HubSpot alternative for a small SaaS team?",
  "author": "example_user",
  "score": 41,
  "numComments": 18,
  "createdAt": "2026-08-31T14:22:00+00:00",
  "permalink": "https://www.reddit.com/r/SaaS/comments/..."
}
```

### Use Cases

- Reddit lead generation
- SaaS competitor monitoring
- Social listening for buying intent
- Reddit sentiment monitoring
- Pain-point discovery
- Startup idea validation
- Product positioning research
- CRM, Slack, webhook, and AI-agent workflows

### Pricing

Launch pricing: **$1.00 / 500 Reddit lead signals**.

This is priced higher than a raw scraper because every result includes lead scoring, labels, sentiment, and match fields. The Actor is still lightweight because it uses public Reddit JSON pages instead of browser automation.

### Notes

This Actor reads publicly available Reddit pages. Large or repeated runs may be rate-limited by Reddit, so keep request delays moderate and use Apify Proxy when needed. You are responsible for following Reddit's terms and applicable laws.

# Actor input Schema

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

High-intent Reddit search phrases. Use product categories, competitor alternatives, pricing pain, and recommendation terms.

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

Subreddit names or URLs, with or without the r/ prefix.

## `targetBrands` (type: `array`):

Optional brands/products to detect in posts and comments.

## `competitors` (type: `array`):

Competitor names to flag when users compare, complain, or ask for alternatives.

## `analysisMode` (type: `string`):

Choose the lead signal style you care about most.

## `minLeadScore` (type: `integer`):

Only output rows with this score or higher. Use 0 for research datasets, 35+ for cleaner lead feeds.

## `intentKeywords` (type: `array`):

Phrases that suggest the user is researching, comparing, switching, or ready to buy.

## `painKeywords` (type: `array`):

Phrases that suggest frustration, pricing pain, product gaps, or active problems.

## `postUrls` (type: `array`):

Optional direct Reddit post URLs. Use this to analyze one thread and its top comments.

## `sort` (type: `string`):

How to sort subreddit listings and search results.

## `time` (type: `string`):

Time window used when sort is Top.

## `maxItemsPerSource` (type: `integer`):

Maximum posts to fetch for each subreddit or search query.

## `maxTotalItems` (type: `integer`):

Hard cap across posts and comments. Default is 100 so test runs stay small.

## `includeComments` (type: `boolean`):

Analyze top-level comments too. Comments often contain the best purchase intent and pain-point signals.

## `maxComments` (type: `integer`):

Maximum top-level comments per post when comments are enabled.

## `dedupe` (type: `boolean`):

Remove duplicate posts/comments across sources.

## `requestDelayMs` (type: `integer`):

Delay between Reddit requests. Keep moderate for reliable public scraping.

## `proxyConfiguration` (type: `object`):

Optional. Use Apify Proxy or residential proxy for larger repeated runs.

## Actor input object example

```json
{
  "searchQueries": [
    "HubSpot alternative",
    "recommend project management tool"
  ],
  "subreddits": [
    "SaaS",
    "smallbusiness"
  ],
  "targetBrands": [
    "HubSpot",
    "Notion",
    "Salesforce"
  ],
  "competitors": [
    "Salesforce",
    "Pipedrive",
    "Monday"
  ],
  "analysisMode": "all",
  "minLeadScore": 25,
  "intentKeywords": [
    "recommend",
    "looking for",
    "need a tool",
    "alternative",
    "vs",
    "anyone use",
    "switching from"
  ],
  "painKeywords": [
    "too expensive",
    "pricing",
    "problem",
    "issue",
    "frustrated",
    "hate",
    "broken",
    "slow",
    "bad support"
  ],
  "sort": "new",
  "time": "month",
  "maxItemsPerSource": 50,
  "maxTotalItems": 100,
  "includeComments": true,
  "maxComments": 5,
  "dedupe": true,
  "requestDelayMs": 700,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (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 = {
    "searchQueries": [
        "HubSpot alternative",
        "recommend project management tool"
    ],
    "subreddits": [
        "SaaS",
        "smallbusiness"
    ],
    "targetBrands": [
        "HubSpot",
        "Notion",
        "Salesforce"
    ],
    "competitors": [
        "Salesforce",
        "Pipedrive",
        "Monday"
    ],
    "intentKeywords": [
        "recommend",
        "looking for",
        "need a tool",
        "alternative",
        "vs",
        "anyone use",
        "switching from"
    ],
    "painKeywords": [
        "too expensive",
        "pricing",
        "problem",
        "issue",
        "frustrated",
        "hate",
        "broken",
        "slow",
        "bad support"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("groupoject/reddit-lead-finder-sentiment-monitor").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 = {
    "searchQueries": [
        "HubSpot alternative",
        "recommend project management tool",
    ],
    "subreddits": [
        "SaaS",
        "smallbusiness",
    ],
    "targetBrands": [
        "HubSpot",
        "Notion",
        "Salesforce",
    ],
    "competitors": [
        "Salesforce",
        "Pipedrive",
        "Monday",
    ],
    "intentKeywords": [
        "recommend",
        "looking for",
        "need a tool",
        "alternative",
        "vs",
        "anyone use",
        "switching from",
    ],
    "painKeywords": [
        "too expensive",
        "pricing",
        "problem",
        "issue",
        "frustrated",
        "hate",
        "broken",
        "slow",
        "bad support",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("groupoject/reddit-lead-finder-sentiment-monitor").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 '{
  "searchQueries": [
    "HubSpot alternative",
    "recommend project management tool"
  ],
  "subreddits": [
    "SaaS",
    "smallbusiness"
  ],
  "targetBrands": [
    "HubSpot",
    "Notion",
    "Salesforce"
  ],
  "competitors": [
    "Salesforce",
    "Pipedrive",
    "Monday"
  ],
  "intentKeywords": [
    "recommend",
    "looking for",
    "need a tool",
    "alternative",
    "vs",
    "anyone use",
    "switching from"
  ],
  "painKeywords": [
    "too expensive",
    "pricing",
    "problem",
    "issue",
    "frustrated",
    "hate",
    "broken",
    "slow",
    "bad support"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call groupoject/reddit-lead-finder-sentiment-monitor --silent --output-dataset

```

## MCP server setup

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

```

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/SXZNFETkW5ONN6hSr/builds/Pl5Pnq5OSXPM1JxGl/openapi.json