Horoscope API 2026: Build Daily, Weekly & Monthly Horoscope Features

Horoscope features are among the most-requested additions to astrology apps, media platforms, and wellness products. A horoscope API handles the prediction generation so your team does not need to hire astrologers or maintain prediction content. This guide covers everything you need to ship a production-ready horoscope feature: which endpoints to use, how to handle caching, how to serve 12 signs from a single integration, and why the distinction between sign-based and birth-chart-based predictions matters more than most developers realize.

Types of Horoscope APIs: What the Market Offers

Before writing a single line of integration code, you need to understand that "horoscope API" means different things depending on the provider. There are two fundamentally different architectures:

Sign-Based Horoscope APIs

The simplest form. You send a zodiac sign name and receive a prediction. There are 12 signs, so a provider pre-generates 12 predictions per day (or week, or month). Every Aries user on your platform gets the same text. This is cheap to serve — the provider can cache heavily — but the output is generic by definition. All template-based and most legacy providers work this way.

Birth-Chart-Based Horoscope APIs

The more capable form. You send a user's birth date, time, and location. The API computes the individual's full birth chart — ascendant, moon sign, planetary positions, current dasha period, transits — and generates a prediction that accounts for their specific configuration. Two people born under Aries but at different times and locations receive meaningfully different predictions. This is what professional astrologers actually do.

Period Variants: Daily, Weekly, Monthly

Most APIs that support horoscopes offer at least one of these three time windows. The underlying difference is the transit window the prediction engine examines. Daily horoscopes focus on fast-moving planets (Moon, Mercury, Venus, Sun). Weekly horoscopes incorporate Sun, Venus, and Mars transits. Monthly horoscopes look at slower outer planets (Jupiter, Saturn) and broader thematic patterns. The caching implications are significant: monthly content does not need to be refreshed more than once per month.

Vedic vs Western Horoscope APIs

Western horoscopes use the tropical zodiac and sun signs. Vedic horoscopes (rashifal) use the sidereal zodiac and moon signs. For Indian markets, rashifal is the dominant format. A user born under Aries in Western astrology may be a Pisces by Vedic calculation (roughly 24 degrees of difference due to the ayanamsa). If your platform targets Indian users, you need an API that handles the Vedic system correctly — including the moon sign calculation and Vimshottari Dasha period.

Why AI-Generated Horoscopes Outperform Template-Based Content

Most horoscope content on the internet is template-based. A writer produces a set of prediction templates, an editor assigns them to signs and dates, and a CMS publishes them on a schedule. The API is just a delivery mechanism for that pre-written content. This works for volume but has hard limits.

Vedika's approach is different from both template delivery and unconstrained AI generation. The prediction engine computes a mathematically verified birth chart using Swiss Ephemeris, extracts planetary positions, house lordships, nakshatra placements, active yogas, and the current Dasha period — then feeds that structured data as ground truth to the AI layer. The AI cannot fabricate planetary positions because the positions are injected as hard facts. This matters because unconstrained AI horoscopes sound plausible but are astrologically meaningless — the AI has no idea where Mars actually sits in a person's chart on a given day.

Vedika Endpoints for Horoscope Features

Vedika exposes two primary endpoints for horoscope use cases. Which one you use depends on whether you want sign-based or birth-chart-based predictions.

Sign-Based: GET /v2/western/horoscope/:sign

Returns a Western sun-sign horoscope. Accepts daily, weekly, or monthly period. Suitable for anonymous users where you do not have birth data. Also useful for content platforms that display horoscopes alongside articles or as sidebar widgets.

// Fetch a daily horoscope for Aries (JavaScript)
const sign = 'aries'; // lowercase: aries, taurus, gemini, cancer, leo, virgo,
                      //            libra, scorpio, sagittarius, capricorn, aquarius, pisces

const response = await fetch(`https://api.vedika.io/v2/western/horoscope/${sign}?period=daily`, {
  headers: {
    'x-api-key': 'vk_live_your_key_here'
  }
});

const data = await response.json();
console.log(data.prediction);
// "Today Venus moves into a favorable aspect with your natal Sun,
//  bringing opportunities in creative and social domains..."

The period query parameter accepts daily, weekly, or monthly. No request body is needed for this endpoint. The response includes the prediction text, the sign, the period, and metadata about the current transit picture that drove the prediction.

Birth-Chart-Based: POST /v2/astrology/prediction/daily

Returns a personalized Vedic prediction based on the user's birth data. Suitable for registered users who have saved their birth details. This endpoint computes the full birth chart, identifies the current Dasha period, evaluates transit effects on the natal chart, and generates a prediction that is unique to that individual.

// Fetch a personalized daily prediction (JavaScript)
const response = await fetch('https://api.vedika.io/v2/astrology/prediction/daily', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'x-api-key': 'vk_live_your_key_here'
  },
  body: JSON.stringify({
    birthDetails: {
      datetime: '1992-08-22T07:15:00',
      latitude: 28.6139,
      longitude: 77.2090,
      timezone: '+05:30'
    },
    predictionDate: '2026-03-06', // YYYY-MM-DD, defaults to today
    language: 'en'                // optional: 'hi', 'ta', 'te', 'kn', etc.
  })
});

const data = await response.json();
console.log(data.prediction);
// "You are currently in Saturn Mahadasha, Moon Antardasha.
//  Transit Jupiter in your 9th house activates your natal Raja Yoga —
//  expect recognition in professional settings this week..."

Python: Fetch a Weekly Horoscope

import requests

API_KEY = "vk_live_your_key_here"
BASE_URL = "https://api.vedika.io"

def get_weekly_horoscope(sign: str) -> dict:
    """Fetch a weekly Western horoscope for a sun sign."""
    url = f"{BASE_URL}/v2/western/horoscope/{sign.lower()}"
    headers = {"x-api-key": API_KEY}
    params = {"period": "weekly"}

    response = requests.get(url, headers=headers, params=params, timeout=10)
    response.raise_for_status()
    return response.json()

# Fetch for all 12 signs
signs = [
    "aries", "taurus", "gemini", "cancer", "leo", "virgo",
    "libra", "scorpio", "sagittarius", "capricorn", "aquarius", "pisces"
]

for sign in signs:
    data = get_weekly_horoscope(sign)
    print(f"{sign.capitalize()}: {data['prediction'][:120]}...")

Python: Personalized Monthly Prediction

import requests
from datetime import date

API_KEY = "vk_live_your_key_here"
BASE_URL = "https://api.vedika.io"

def get_monthly_prediction(birth_datetime: str, lat: float, lon: float,
                            timezone: str, language: str = "en") -> dict:
    """Fetch a personalized monthly Vedic prediction."""
    url = f"{BASE_URL}/v2/astrology/prediction/monthly"
    headers = {
        "Content-Type": "application/json",
        "x-api-key": API_KEY
    }
    payload = {
        "birthDetails": {
            "datetime": birth_datetime,
            "latitude": lat,
            "longitude": lon,
            "timezone": timezone
        },
        "predictionDate": date.today().strftime("%Y-%m-01"),  # first of current month
        "language": language
    }

    response = requests.post(url, json=payload, headers=headers, timeout=15)
    response.raise_for_status()
    return response.json()

# Example: user born in Chennai
result = get_monthly_prediction(
    birth_datetime="1988-11-04T22:45:00",
    lat=13.0827,
    lon=80.2707,
    timezone="+05:30",
    language="ta"  # Tamil output
)
print(result["prediction"])

Building a Horoscope Widget: Complete Example

The following example builds a self-contained horoscope widget that fetches a daily prediction for all 12 signs and renders them with a sign selector. It includes error handling and a loading state.

// horoscope-widget.js — Drop into any page
class HoroscopeWidget {
  constructor(containerSelector, apiKey) {
    this.container = document.querySelector(containerSelector);
    this.apiKey = apiKey;
    this.cache = new Map();
    this.signs = [
      'aries', 'taurus', 'gemini', 'cancer', 'leo', 'virgo',
      'libra', 'scorpio', 'sagittarius', 'capricorn', 'aquarius', 'pisces'
    ];
    this.render();
  }

  async fetchHoroscope(sign, period = 'daily') {
    const cacheKey = `${sign}-${period}-${new Date().toDateString()}`;
    if (this.cache.has(cacheKey)) {
      return this.cache.get(cacheKey);
    }

    const response = await fetch(
      `https://api.vedika.io/v2/western/horoscope/${sign}?period=${period}`,
      { headers: { 'x-api-key': this.apiKey } }
    );

    if (!response.ok) {
      throw new Error(`API error: ${response.status}`);
    }

    const data = await response.json();
    this.cache.set(cacheKey, data);
    return data;
  }

  render() {
    this.container.innerHTML = `
      

        

          ${this.signs.map(s => `${s.charAt(0).toUpperCase() + s.slice(1)}`).join('')}
        
        

          Daily
          Weekly
          Monthly
        
        

          
Select a sign to see your horoscope.
        
      
    `;

    let activePeriod = 'daily';
    let activeSign = null;

    const output = this.container.querySelector('.prediction-output');

    this.container.querySelectorAll('[data-sign]').forEach(btn => {
      btn.addEventListener('click', async () => {
        activeSign = btn.dataset.sign;
        await this.loadPrediction(activeSign, activePeriod, output);
      });
    });

    this.container.querySelectorAll('[data-period]').forEach(btn => {
      btn.addEventListener('click', async () => {
        activePeriod = btn.dataset.period;
        this.container.querySelectorAll('[data-period]').forEach(b => b.classList.remove('active'));
        btn.classList.add('active');
        if (activeSign) {
          await this.loadPrediction(activeSign, activePeriod, output);
        }
      });
    });
  }

  async loadPrediction(sign, period, output) {
    output.innerHTML = '
Loading...
';
    try {
      const data = await this.fetchHoroscope(sign, period);
      output.innerHTML = `
${data.prediction}
`;
    } catch (err) {
      output.innerHTML = `
Could not load prediction. Please try again.
`;
      console.error(err);
    }
  }
}

// Initialize
const widget = new HoroscopeWidget('#horoscope-container', 'vk_live_your_key_here');

Cache Strategy for Horoscope APIs

Caching is the single most important cost control measure for horoscope features. Sign-based predictions change on a fixed schedule (daily, weekly, monthly) — there is no reason to hit the API more than once per period per sign. Birth-chart-based predictions change daily, but a given user's prediction does not change within a day. A well-designed cache layer can reduce your API spend by 90%+ on a platform with many users.

// Node.js caching layer with Redis (server-side)
const redis = require('redis');
const client = redis.createClient({ url: process.env.REDIS_URL });

async function getHoroscope(sign, period) {
  const today = new Date().toISOString().split('T')[0]; // YYYY-MM-DD
  const cacheKey = `horoscope:${period}:${sign}:${today}`;

  // Try cache first
  const cached = await client.get(cacheKey);
  if (cached) {
    return JSON.parse(cached);
  }

  // Miss — fetch from API
  const response = await fetch(
    `https://api.vedika.io/v2/western/horoscope/${sign}?period=${period}`,
    { headers: { 'x-api-key': process.env.VEDIKA_API_KEY } }
  );
  const data = await response.json();

  // Cache with TTL
  const ttlSeconds = period === 'daily' ? 86400 : period === 'weekly' ? 604800 : 2592000;
  await client.setEx(cacheKey, ttlSeconds, JSON.stringify(data));

  return data;
}

Multi-Language Horoscope Support

Vedika supports 30 languages for prediction output. For Indian markets, this is essential: a Hindi-speaking user in Uttar Pradesh should not receive English horoscope content if your platform supports regional languages. Passing the language parameter routes the prediction through the translation and localization layer.

// Multi-language horoscope fetch
const LANGUAGE_MAP = {
  hindi: 'hi',
  tamil: 'ta',
  telugu: 'te',
  kannada: 'kn',
  malayalam: 'ml',
  bengali: 'bn',
  marathi: 'mr',
  gujarati: 'gu',
  punjabi: 'pa',
  english: 'en'
};

async function getLocalizedHoroscope(sign, period, userLanguage) {
  const langCode = LANGUAGE_MAP[userLanguage] || 'en';

  const response = await fetch(
    `https://api.vedika.io/v2/western/horoscope/${sign}?period=${period}&language=${langCode}`,
    { headers: { 'x-api-key': 'vk_live_your_key_here' } }
  );
  return response.json();
}

// Usage
const hindiHoroscope = await getLocalizedHoroscope('aries', 'daily', 'hindi');
console.log(hindiHoroscope.prediction); // Prediction text in Hindi (Devanagari script)

Real-World Example: Building a 12-Sign Daily Horoscope App

The following shows a complete server-side implementation that prefetches all 12 sign predictions at midnight, stores them in Redis, and serves them via an Express endpoint. This pattern works well for content platforms that display horoscopes alongside articles or as standalone daily digest products.

// horoscope-prefetch-job.js
// Run this with a cron job at midnight UTC (or midnight IST for Indian users)

const redis = require('redis');
const client = redis.createClient({ url: process.env.REDIS_URL });

const SIGNS = [
  'aries', 'taurus', 'gemini', 'cancer', 'leo', 'virgo',
  'libra', 'scorpio', 'sagittarius', 'capricorn', 'aquarius', 'pisces'
];
const PERIODS = ['daily', 'weekly', 'monthly'];
const API_KEY = process.env.VEDIKA_API_KEY;

async function prefetchAllHoroscopes() {
  const today = new Date().toISOString().split('T')[0];
  console.log(`Prefetching horoscopes for ${today}...`);

  const promises = [];

  for (const sign of SIGNS) {
    for (const period of PERIODS) {
      const cacheKey = `horoscope:${period}:${sign}:${today}`;

      const fetchAndCache = async () => {
        try {
          const response = await fetch(
            `https://api.vedika.io/v2/western/horoscope/${sign}?period=${period}`,
            { headers: { 'x-api-key': API_KEY } }
          );
          const data = await response.json();
          const ttl = period === 'daily' ? 86400 : period === 'weekly' ? 604800 : 2592000;
          await client.setEx(cacheKey, ttl, JSON.stringify(data));
          console.log(`Cached: ${cacheKey}`);
        } catch (err) {
          console.error(`Failed: ${cacheKey}`, err.message);
        }
      };

      promises.push(fetchAndCache());
    }
  }

  // Run all fetches in parallel (36 total: 12 signs x 3 periods)
  await Promise.all(promises);
  console.log('Prefetch complete.');
}

// Express endpoint to serve cached predictions
const express = require('express');
const app = express();

app.get('/api/horoscope/:sign/:period', async (req, res) => {
  const { sign, period } = req.params;
  const today = new Date().toISOString().split('T')[0];
  const cacheKey = `horoscope:${period}:${sign}:${today}`;

  const cached = await client.get(cacheKey);
  if (cached) {
    return res.json({ source: 'cache', ...JSON.parse(cached) });
  }

  // Fallback: fetch live if cache miss (e.g., first request of the day before cron runs)
  const response = await fetch(
    `https://api.vedika.io/v2/western/horoscope/${sign}?period=${period}`,
    { headers: { 'x-api-key': API_KEY } }
  );
  const data = await response.json();
  await client.setEx(cacheKey, 86400, JSON.stringify(data));
  res.json({ source: 'live', ...data });
});

module.exports = { prefetchAllHoroscopes };

Pricing for Horoscope-Focused Apps

Horoscope features are well-suited to Vedika's wallet-based pricing because prediction costs scale directly with actual usage. If you cache sign-based predictions (recommended), you pay per prediction per sign per period — not per user request. At scale, the effective cost per user request approaches zero once a cache is warm.

There is no free tier — every request costs. The free sandbox at vedika.io/sandbox provides 65 mock endpoints that return realistic response shapes without authentication or billing. Use the sandbox for all UI development and integration testing before going live.

Streaming Horoscope Responses

Vedika supports Server-Sent Events (SSE) for streaming prediction text as it is generated. This is useful for birth-chart-based predictions where generation takes 2-4 seconds — streaming lets you show text appearing progressively rather than a blank loading state.

// Streaming horoscope prediction (SSE)
function streamDailyPrediction(birthDetails, onChunk, onComplete) {
  const eventSource = new EventSource(
    'https://api.vedika.io/v2/astrology/prediction/daily/stream?' +
    new URLSearchParams({
      datetime: birthDetails.datetime,
      latitude: birthDetails.latitude,
      longitude: birthDetails.longitude,
      timezone: birthDetails.timezone,
      apiKey: 'vk_live_your_key_here'
    })
  );

  let fullText = '';

  eventSource.onmessage = (event) => {
    if (event.data === '[DONE]') {
      eventSource.close();
      onComplete(fullText);
      return;
    }
    const chunk = JSON.parse(event.data);
    fullText += chunk.text;
    onChunk(chunk.text);
  };

  eventSource.onerror = () => {
    eventSource.close();
  };
}

// Usage
const output = document.getElementById('prediction-output');
streamDailyPrediction(
  { datetime: '1992-08-22T07:15:00', latitude: 28.6139, longitude: 77.2090, timezone: '+05:30' },
  (chunk) => { output.textContent += chunk; },  // Progressive display
  (full) => { console.log('Complete prediction:', full); }
);

Frequently Asked Questions