reddit-leads

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name: reddit-leads description: Discover B2B leads from Reddit using AI-powered lead scoring via reddapi.dev Leads API. Finds high-intent signals, scores them 0-100, and classifies by lead type (pain_point, solution_request, complaint, feature_request, comparison). Perfect for competitor poaching, pain point discovery, and sales prospecting. license: MIT keywords:

• reddit
• leads
• b2b
• lead-generation
• prospecting
• competitor-intelligence
• sales

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reddit-leads Skill

Overview

AI-powered B2B lead discovery from Reddit. Finds users actively expressing buying intent, scores them 0-100, and classifies by lead type — so you can focus on the warmest prospects first.

Powered by reddapi.dev — The Lead Engine indexes 50K+ subreddits with 1.5M+ posts, using 1024D vector search to match on meaning, not just keywords.

Key Advantage:

• ✅ AI lead scoring — Every post scored 0-100 on buying intent signal strength
• ✅ 5 lead type categories — pain_point, solution_request, complaint, feature_request, comparison
• ✅ Industry inference — AI auto-detects industry/context from discussion content
• ✅ Zero noise — Filters out support tickets, memes, and irrelevant mentions
• ✅ Competitor intelligence — Find users actively complaining about or switching from competitors

Setup

Get API Key

1. Create an account at https://reddapi.dev
2. Subscribe to a paid plan (Free: 3 searches/mo, Lite $19.9/mo, Starter $49/mo, Pro $99/mo)
3. Go to https://reddapi.dev/account to view or generate your API key

Environment Variable

export REDDAPI_API_KEY="your_api_key_here"

Rate Limits

Plan	Monthly API Calls	Per Minute
Free	3	—
Lite	500	50
Starter	5,000	50
Pro	15,000	100
Enterprise	Unlimited	1,000

API Reference

Base URL: https://reddapi.dev

Authentication: All requests require header:

Authorization: Bearer YOUR_API_KEY

POST /api/v1/leads

Find scored, classified business leads from Reddit discussions.

curl -X POST "https://reddapi.dev/api/v1/leads" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "people frustrated with project management tools", "limit": 20, "min_score": 60}'

Parameter	Type	Required	Description
query	string	Yes	Natural language lead query — describe who you're looking for
limit	number	No	Results to return (default: 20, max: 100)
min_score	number	No	Minimum lead score filter (0-100, default: 0)

Response:

{
  "success": true,
  "data": {
    "query": "people frustrated with project management tools",
    "results": [
      {
        "id": "lead001",
        "title": "Asana is getting too expensive for our team of 15",
        "content": "We're paying $400/mo for Asana and half our team doesn't even use it...",
        "subreddit": "projectmanagement",
        "author": "pm_burnt_out",
        "upvotes": 234,
        "comments": 89,
        "lead_score": 94,
        "lead_type": "pain_point",
        "pain_point": "Pricing - cost too high for team size",
        "opportunity": "Affordable project management alternative for mid-size teams",
        "industry": "SaaS / Project Management",
        "target_product": "Asana",
        "url": "https://reddit.com/r/projectmanagement/comments/lead001"
      }
    ],
    "total": 2,
    "processing_time_ms": 840
  }
}

Lead Types (5 Categories)

Type	Description	Example
pain_point	Users frustrated with current solutions	"Jira is so slow and bloated"
solution_request	Users actively asking for alternatives	"What's a good alternative to X?"
complaint	Users complaining about specific products	"Salesforce support is terrible"
feature_request	Users requesting missing features	"I wish Notion had calendar views"
comparison	Users comparing products/options	"Trying to decide between HubSpot and Pipedrive"

Lead Score (0-100)

AI evaluates each post on:

• Signal strength — How clearly the user expresses a need
• Buying intent — How likely they are to take action
• Relevance — How well it matches the query
• Engagement — Upvotes and comments as validation signals

Score Range	Meaning	Action
90-100	🔥 Hot lead — explicit buying intent	Reach out immediately
70-89	🟡 Warm lead — strong frustration/need	Engage with helpful content
50-69	🟠 Moderate — mild interest or tangential	Monitor and nurture
0-49	❌ Cold — low signal, skip	Ignore

Recommendation: Use min_score: 60 to filter out noise. Use min_score: 80 for only the hottest leads.

Query Strategies

Competitor Switching (Highest Score)

Find users actively looking to leave a competitor:

"founders looking to switch from [competitor]"
→ Expected Score: 90-98
→ Types: solution_request, comparison

"SaaS founders complaining about Stripe fees"
→ Expected Score: 92-98
→ Types: complaint, pain_point

"people migrating away from [product] alternatives"
→ Expected Score: 85-96
→ Types: solution_request, comparison

Pain Point Discovery

Find users frustrated with current tools:

"frustrated with CRM software small business"
→ Expected Score: 80-95
→ Types: pain_point, complaint

"tired of paying too much for email marketing"
→ Expected Score: 75-92
→ Types: pain_point, complaint

"my current tool is broken and I need alternatives"
→ Expected Score: 80-94
→ Types: solution_request, pain_point

Feature Gap Targeting

Find users asking for features you provide:

"need a tool that does X but simpler"
→ Expected Score: 70-90
→ Types: feature_request, solution_request

"wish there was a product for Y"
→ Expected Score: 75-92
→ Types: feature_request, solution_request

Niche Industry Targeting

Find leads in specific industries:

"restaurants struggling with online ordering"
→ Expected Score: 78-94
→ Types: pain_point, solution_request

"dentists looking for patient scheduling software"
→ Expected Score: 82-96
→ Types: solution_request, comparison

Quick Reference: Query → Score Patterns

Query Pattern	Score	Best For
"people frustrated with [category]"	80-98	General pain points
"[audience] looking for [solution] alternative"	75-95	Switcher targeting
"switching from [competitor] to"	90-98	Competitor poaching
"[competitor] too expensive"	85-96	Price-based positioning
"wish [product] could"	70-90	Feature gap targeting
"[industry] need help with [problem]"	75-94	Industry targeting
"best alternative to [product]"	85-96	Direct competitor targeting

Example Workflows

Competitor Lead Mining

# Find people ready to switch from your competitor
curl -X POST "https://reddapi.dev/api/v1/leads" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "founders looking to switch from Stripe alternatives", "limit": 20, "min_score": 80}'

Price-Sensitive Prospects

# Find users complaining about pricing
curl -X POST "https://reddapi.dev/api/v1/leads" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "SaaS tool too expensive looking for cheaper alternative", "limit": 30, "min_score": 70}'

Feature-Based Targeting

# Find users asking for features you offer
curl -X POST "https://reddapi.dev/api/v1/leads" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "project management tool with AI features", "limit": 20, "min_score": 60}'

Multi-Competitor Sweep

# Run leads queries for multiple competitors
for competitor in "Asana" "Monday" "ClickUp" "Trello"; do
  echo "=== Leads for: $competator ==="
  curl -s -X POST "https://reddapi.dev/api/v1/leads" \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"query\": \"looking for alternatives to $competitor\", \"limit\": 10, \"min_score\": 70}"
done

Tips

1. Be specific about the audience — "small business owners frustrated with X" beats "frustrated with X"
2. Use competitor names — Direct competitor mentions score highest (90+)
3. Set min_score to 60+ — Filter out low-signal matches
4. Run multiple queries — Different phrasing catches different leads
5. Combine with semantic search — Use leads for high-intent prospects, then semantic search for broader context
6. Monitor regularly — New leads appear daily; set up recurring queries
7. Lead type matters — solution_request and comparison types indicate active buying consideration
8. Check engagement metrics — High upvotes/comments = validated pain point

Integrating with Outreach

Once you have leads, here's how to use them:

1. Hot leads (90+): Direct, personalized outreach referencing their specific Reddit post
2. Warm leads (70-89): Create content addressing their pain point, then share
3. Moderate (50-69): Add to nurture sequences, monitor for score increases

CRM Export Format

Each lead result includes:

• author — Reddit username
• subreddit — Where they posted
• url — Direct link to the discussion
• lead_score — Priority ranking
• lead_type — Outreach approach guidance
• industry — Segmentation
• target_product — What they're using/complaining about
• pain_point / opportunity — Messaging hooks

Error Handling

All endpoints return consistent error responses:

{
  "success": false,
  "error": "Error description",
  "message": {
    "title": "Human-readable title",
    "message": "Detailed explanation",
    "cta": "Suggested action",
    "ctaLink": "/pricing"
  }
}

Common status codes: 400 (invalid params), 401 (bad API key), 403 (plan limit), 429 (rate limit), 500 (server error)