Dating Trends Aggregator

Ethical Dating Market Research Tool by John Rippy | johnrippy.link

Research Dating Trends Using Public Data Only

The Dating Trends Aggregator is an ethical research tool that aggregates publicly available data to help researchers, journalists, and market analysts understand dating trends and sentiment.

No private data. No scraping personal profiles. Just public trend data.

Data Sources

Source	What We Collect	Use Case
Google Trends	Search interest over time, related queries	Understand what people are searching for
Reddit Public API	Topic frequency, sentiment, engagement	Gauge public discussion and sentiment
US Census Bureau	Demographics (single %, median age, urbanization)	Correlate trends with population data

Who This Is For

Academic Researchers

• Study relationship trends and dating behavior patterns
• Correlate search interest with demographic data
• Analyze public sentiment around dating topics
• Cite ethical data sources in peer-reviewed papers

Journalists & Content Creators

• Find trending dating topics for articles
• Understand public sentiment on relationship issues
• Identify emerging dating trends before they peak
• Create data-driven content

Dating App Market Analysts

• Monitor competitor brand interest (Tinder, Bumble, Hinge)
• Track feature-related searches ("video dating", "profile tips")
• Analyze demographic patterns by region
• Benchmark sentiment across platforms

Quick Start

Basic Analysis (Default Settings)

{
  "timeRange": "past_year",
  "regions": ["US"],
  "includeGoogleTrends": true,
  "includeRedditAnalysis": true,
  "includeDemographics": true
}

Returns: Google Trends data for 10 dating keywords, sentiment analysis from 9 subreddits, US demographic correlations.

Custom Keywords Analysis

{
  "keywords": ["hinge prompts", "bumble opening lines", "dating app fatigue"],
  "timeRange": "past_month",
  "regions": ["US"],
  "includeGoogleTrends": true,
  "includeRedditAnalysis": true
}

Returns: Search interest for your specific keywords, plus Reddit discussion analysis.

Multi-Region Comparison

{
  "keywords": ["online dating", "dating apps"],
  "regions": ["US", "UK", "US-CA", "US-NY"],
  "timeRange": "past_year",
  "includeDemographics": true
}

Returns: Trend data across multiple regions with demographic correlations.

Reddit-Only Sentiment Analysis

{
  "subreddits": ["dating", "OnlineDating", "Tinder", "hingeapp", "Bumble"],
  "includeGoogleTrends": false,
  "includeRedditAnalysis": true,
  "includeDemographics": false
}

Returns: Detailed sentiment and topic frequency from specific subreddits.

What You Get

Google Trends Data

For each keyword, you receive:

{
  "keyword": "online dating",
  "timelineData": [
    { "date": "Jan 2025", "value": 75 },
    { "date": "Feb 2025", "value": 82 }
  ],
  "relatedQueries": ["best dating apps", "online dating tips", "free dating sites"]
}

Reddit Insights

For each subreddit, you receive:

{
  "subreddit": "dating",
  "topicFrequency": {
    "first date": 7,
    "ghosting": 5,
    "relationship": 14,
    "red flag": 5
  },
  "sentimentScore": 0.03,
  "avgEngagement": 216,
  "trendingTopics": ["relationship", "match", "single", "first date"]
}

Sentiment Scale:

• > 0.1 = Positive sentiment (optimistic discussions)
• -0.1 to 0.1 = Neutral sentiment (mixed experiences)
• < -0.1 = Negative sentiment (frustration, complaints)

Demographics

For each region, you receive:

{
  "region": "United States",
  "singlePopulation": 31.2,
  "medianAge": 38.8,
  "urbanizationRate": 83.1
}

Summary & Key Findings

{
  "summary": {
    "topTrendingKeywords": ["situationship", "hinge", "dating apps"],
    "overallSentiment": 0.03,
    "keyFindings": [
      "Fastest growing search terms: \"situationship\" (+45%), \"hinge prompts\" (+32%)",
      "Most discussed dating topics on Reddit: relationship, profile, match, apps, message",
      "Reddit sentiment is neutral, showing mixed experiences in dating discussions"
    ]
  }
}

Tracked Topics

The Reddit analyzer automatically tracks these dating-related topics:

Category	Topics
Dating Basics	first date, match, profile, photo, bio, swipe
Communication	message, ghosting, communication, meeting
Relationships	relationship, exclusive, situationship, chemistry, connection
Red Flags	red flag, green flag, standards, anxiety
Life Events	breakup, divorce, marriage, single
Platforms	apps, online dating, dating pool

Default Configuration

Default Keywords (Google Trends)

1. online dating
2. dating apps
3. tinder
4. bumble
5. hinge
6. relationship advice
7. first date tips
8. dating after divorce
9. long distance relationship
10. situationship

Default Subreddits

1. r/dating
2. r/OnlineDating
3. r/Tinder
4. r/hingeapp
5. r/Bumble
6. r/datingoverthirty
7. r/datingoverforty
8. r/relationships
9. r/relationship_advice

Supported Regions

Code	Region
US	United States
US-CA	California
US-NY	New York
US-TX	Texas
US-FL	Florida
UK	United Kingdom

Pay-Per-Event Pricing

$0.10 per analysis

Each run includes:

• Google Trends data for all keywords
• Reddit analysis for all subreddits
• Demographic correlations
• Summary and key findings

Example costs:

• Quick sentiment check (Reddit only): $0.10
• Full trend analysis: $0.10
• Multi-region comparison: $0.10

No monthly fees. No minimums.

Demo Mode

Enable demoMode: true for free testing with limited data (3 keywords, 2 subreddits). No billing charge in demo mode.

Ethical Guidelines

This tool is designed for ethical research only:

1. Public Data Only - We only collect publicly available data
2. No Personal Information - We never scrape individual profiles or personal details
3. Aggregate Analysis - Results are aggregated trends, not individual data points
4. Rate Limited - Built-in delays respect API guidelines
5. Transparent Sources - All data sources are clearly documented

Appropriate Use Cases

• Academic research on dating trends
• Journalism and data-driven reporting
• Market analysis for dating industry
• Content strategy development
• Social trend research

Not Appropriate For

• Tracking individuals
• Building profiles of specific users
• Stalking or harassment
• Discriminatory targeting
• Any activity that violates privacy

API Integration

Using the Apify API

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('localhowl/dating-trends-aggregator').call({
  keywords: ['online dating', 'dating apps', 'tinder'],
  timeRange: 'past_year',
  regions: ['US'],
  includeGoogleTrends: true,
  includeRedditAnalysis: true,
  includeDemographics: true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Using cURL

curl -X POST "https://api.apify.com/v2/acts/localhowl~dating-trends-aggregator/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "keywords": ["online dating", "dating apps"],
    "timeRange": "past_year",
    "regions": ["US"]
  }'

Limitations

• Google Trends: The unofficial Google Trends API may occasionally return rate-limited responses. The actor handles this gracefully and continues with available data.
• Reddit: Only analyzes the 50 most recent "hot" posts per subreddit. For deeper historical analysis, consider multiple runs over time.
• Demographics: Currently US-focused with estimates based on Census data. International demographic data is limited.
• Real-time: This tool provides trend snapshots, not real-time monitoring. For ongoing monitoring, schedule regular runs.

Support

Questions or issues? Contact John Rippy or visit johnrippy.link

Built by John Rippy | johnrippy.link

Keywords

dating trends, dating app research, relationship research, google trends dating, reddit sentiment analysis, dating market analysis, online dating trends, tinder trends, bumble trends, hinge trends, dating demographics, relationship sentiment, dating app analytics, ethical dating research, academic dating research