Bing SERP API Complete Guide 2025
While Google dominates search with over 90% market share, Bing holds a strategic 6-7% of the US market and is the default search engine for millions of Windows users and Microsoft 365 subscribers. For developers and businesses building SEO tools, market research platforms, or AI agents, Bing SERP API access is no longer optional—it’s essential.
This comprehensive guide covers everything you need to know about Bing SERP APIs in 2025, including implementation, pricing, best practices, and why dual Google+Bing support gives you a competitive edge.
What is Bing SERP API?
A Bing SERP API (Search Engine Results Page API) allows you to programmatically retrieve Bing search results in structured JSON format. Instead of manually searching on Bing.com and scraping HTML, you make API calls and receive clean, parsed data including:
- Organic search results (titles, URLs, descriptions, rankings)
- Paid advertisements (ad copy, landing pages)
- Related searches and suggestions
- Knowledge panels and rich results
- Local pack results (maps, business listings)
- Image and video results
Why Bing SERP API Matters
1. Enterprise Market Dominance
Bing powers search for:
- Windows 10/11 default search (500M+ devices)
- Microsoft Edge browser
- Microsoft 365 suite (Outlook, Teams)
- Xbox and Windows Store
- Amazon Alexa voice search
2. Different Algorithm, Different Insights
Bing’s ranking algorithm differs from Google’s, providing:
- Alternative keyword opportunities
- Different SERP features
- Unique local search results
- Distinct ad auction dynamics
3. Cost-Effective Data Diversification
Most SERP API providers charge extra for Bing access. SERPpost includes both Google and Bing in one unified API at no additional cost.
Bing SERP API vs Google SERP API: Key Differences
| Feature | Google SERP API | Bing SERP API | Winner |
|---|---|---|---|
| Market Share | ~92% global | ~6-7% US, 3-4% global | |
| Enterprise Users | Consumer-focused | Windows/Office users | Bing |
| API Availability | Many providers | Limited providers | |
| Data Quality | Excellent | Very Good | Tie |
| Pricing | Standard | Often extra cost | Varies |
| SERP Features | More diverse | Growing rapidly | |
| Local Results | Strong | Strong in US | Tie |
When to Use Bing SERP API
�?Use Bing API when:
- Building comprehensive SEO tools (need multi-engine data)
- Targeting enterprise/B2B markets
- Analyzing Windows ecosystem traffic
- Training AI models (need diverse data sources)
- Conducting market research (avoid single-engine bias)
�?Skip Bing API if:
- Only targeting mobile users (Google dominates)
- Budget is extremely limited (though SERPpost includes it free)
- Only need quick keyword checks
How to Use Bing SERP API: Step-by-Step Guide
Option 1: SERPpost Unified API (Recommended)
SERPpost provides the simplest way to access both Google and Bing with one API key and consistent interface.
Quick Start
// Install SDK
npm install @serppost/sdk
// Initialize
const SERPpost = require('@serppost/sdk');
const client = new SERPpost('your_api_key');
// Search Bing (just change one parameter!)
const bingResults = await client.search({
q: 'best project management software',
engine: 'bing', // �?Simply specify 'bing'
location: 'United States',
page: 1
});
console.log(bingResults.organic_results);Response Structure
{
"search_metadata": {
"id": "search_abc123",
"status": "success",
"created_at": "2025-12-09T10:30:00Z",
"processed_at": "2025-12-09T10:30:01Z",
"engine": "bing",
"query": "best project management software"
},
"search_parameters": {
"q": "best project management software",
"engine": "bing",
"location": "United States",
"page": 1
},
"organic_results": [
{
"position": 1,
"title": "Top 10 Project Management Tools in 2025",
"link": "https://example.com/pm-tools",
"displayed_link": "example.com �?pm-tools",
"snippet": "Discover the best project management software...",
"date": "2025-12-01"
}
],
"ads": [
{
"position": 1,
"title": "Asana - Project Management",
"link": "https://asana.com",
"description": "Manage projects efficiently with Asana..."
}
],
"related_searches": [
"free project management software",
"project management tools comparison"
]
}Option 2: Microsoft Bing Search API (Official)
Microsoft offers official Bing Search APIs, but they’re more complex and expensive.
Limitations:
- Requires Azure account
- Complex pricing ($7/1000 queries for Web Search API)
- Separate APIs for different result types
- More setup complexity
When to use: If you need Microsoft’s official support or have existing Azure infrastructure.
Bing SERP API Pricing Comparison 2025
| Provider | Bing Support | Pricing | Notes |
|---|---|---|---|
| SERPpost | �?Included | $3/1K searches | Both Google & Bing included |
| SerpAPI | ⚠️ Extra cost | $50/mo + Bing addon | Bing requires separate plan |
| ScraperAPI | �?Not available | N/A | Google only |
| Microsoft Bing API | �?Official | $7/1K queries | Direct from Microsoft |
| Bright Data | �?Available | Custom pricing | Enterprise-focused |
Cost Savings Example
Scenario: You need 100,000 searches/month across Google and Bing.
Traditional Approach:
- Google API: $150/month
- Bing API (separate): $100/month
- Total: $250/month
SERPpost Approach:
- Google + Bing unified: $150/month
- Savings: $100/month (40%)
Advanced Bing SERP API Use Cases
1. Multi-Engine SEO Rank Tracking
Track keyword rankings across both Google and Bing to get complete market visibility.
import serppost
client = serppost.Client('your_api_key')
def track_rankings(keyword, domain):
"""Track rankings across Google and Bing"""
results = {}
for engine in ['google', 'bing']:
response = client.search(
q=keyword,
engine=engine,
location='United States'
)
# Find domain position
position = None
for idx, result in enumerate(response['organic_results']):
if domain in result['link']:
position = idx + 1
break
results[engine] = {
'position': position,
'total_results': len(response['organic_results'])
}
return results
# Example usage
rankings = track_rankings('project management software', 'asana.com')
print(f"Google: #{rankings['google']['position']}")
print(f"Bing: #{rankings['bing']['position']}")2. Enterprise Search Intelligence
Analyze how your brand appears in enterprise-focused Bing results.
async function analyzeEnterpriseVisibility(brand) {
const queries = [
`${brand} enterprise solution`,
`${brand} for business`,
`${brand} microsoft integration`
];
const results = [];
for (const query of queries) {
const bingData = await client.search({
q: query,
engine: 'bing',
location: 'United States'
});
results.push({
query,
position: findBrandPosition(bingData, brand),
competitors: extractCompetitors(bingData, brand)
});
}
return results;
}3. AI Training Data Collection
Collect diverse search data from multiple engines for AI model training.
def collect_training_data(keywords, num_pages=3):
"""Collect search data from both engines for AI training"""
dataset = []
for keyword in keywords:
for engine in ['google', 'bing']:
for page in range(1, num_pages + 1):
response = client.search(
q=keyword,
engine=engine,
page=page
)
for result in response['organic_results']:
dataset.append({
'query': keyword,
'engine': engine,
'title': result['title'],
'snippet': result['snippet'],
'url': result['link'],
'position': result['position']
})
return datasetBest Practices for Bing SERP API Integration
1. Implement Caching
Bing results change less frequently than Google. Cache results for 1-6 hours depending on your use case.
const cache = new Map();
const CACHE_TTL = 3600000; // 1 hour
async function getCachedBingResults(query) {
const cacheKey = `bing:${query}`;
const cached = cache.get(cacheKey);
if (cached && Date.now() - cached.timestamp < CACHE_TTL) {
return cached.data;
}
const results = await client.search({ q: query, engine: 'bing' });
cache.set(cacheKey, { data: results, timestamp: Date.now() });
return results;
}2. Handle Rate Limits
Respect API rate limits to avoid throttling.
import time
from functools import wraps
def rate_limit(calls_per_second=10):
min_interval = 1.0 / calls_per_second
last_called = [0.0]
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
elapsed = time.time() - last_called[0]
left_to_wait = min_interval - elapsed
if left_to_wait > 0:
time.sleep(left_to_wait)
result = func(*args, **kwargs)
last_called[0] = time.time()
return result
return wrapper
return decorator
@rate_limit(calls_per_second=5)
def search_bing(query):
return client.search(q=query, engine='bing')3. Compare Results Across Engines
Leverage both engines to identify ranking discrepancies.
async function compareEngines(keyword) {
const [googleResults, bingResults] = await Promise.all([
client.search({ q: keyword, engine: 'google' }),
client.search({ q: keyword, engine: 'bing' })
]);
const googleUrls = new Set(
googleResults.organic_results.map(r => r.link)
);
const bingUrls = new Set(
bingResults.organic_results.map(r => r.link)
);
return {
commonResults: [...googleUrls].filter(url => bingUrls.has(url)),
googleOnly: [...googleUrls].filter(url => !bingUrls.has(url)),
bingOnly: [...bingUrls].filter(url => !googleUrls.has(url))
};
}Common Bing SERP API Challenges & Solutions
Challenge 1: Different Result Structures
Problem: Bing and Google return slightly different data structures.
Solution: Use SERPpost’s unified API which normalizes responses across engines.
Challenge 2: Location Targeting
Problem: Bing’s location targeting works differently than Google’s.
Solution: Use country-level targeting for Bing, city-level for Google.
// Bing: Use country
const bingResults = await client.search({
q: 'restaurants',
engine: 'bing',
location: 'United States'
});
// Google: Can use city
const googleResults = await client.search({
q: 'restaurants',
engine: 'google',
location: 'New York, NY'
});Challenge 3: SERP Feature Differences
Problem: Bing has different SERP features than Google.
Solution: Check for feature availability before parsing.
def extract_features(results, engine):
features = {
'organic_results': results.get('organic_results', []),
'ads': results.get('ads', []),
'related_searches': results.get('related_searches', [])
}
# Bing-specific features
if engine == 'bing':
features['news_results'] = results.get('news_results', [])
features['video_results'] = results.get('video_results', [])
# Google-specific features
if engine == 'google':
features['knowledge_graph'] = results.get('knowledge_graph', {})
features['featured_snippet'] = results.get('featured_snippet', {})
return featuresWhy Choose SERPpost for Bing SERP API?
1. Unified Dual-Engine API
One API key, two search engines. No need to manage multiple integrations.
// Same code, different engine
const results = await client.search({ q: 'keyword', engine: 'bing' });
// vs
const results = await client.search({ q: 'keyword', engine: 'google' });2. Consistent Response Format
Both Google and Bing results use the same JSON structure, making your code simpler.
3. No Extra Cost for Bing
Unlike competitors who charge extra for Bing access, SERPpost includes both engines in every plan.
4. Developer-Friendly
- Clean REST API
- SDKs for Python, JavaScript, PHP, Ruby
- Comprehensive documentation
- Code examples in 8+ languages
5. Reliable Infrastructure
- 99.9% uptime SLA
- Global CDN
- Automatic retries
- Real-time status monitoring
Getting Started with SERPpost Bing API
Step 1: Sign Up
Visit serppost.com/register and create a free account. You’ll get 100 free credits to test both Google and Bing APIs.
Step 2: Get Your API Key
After registration, find your API key in the dashboard.
Step 3: Make Your First Bing Search
curl -X GET "https://serppost.com/api/search" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d "q=best laptops 2025" \
-d "engine=bing" \
-d "location=United States"Step 4: Integrate into Your Application
Choose your preferred language and follow our documentation for detailed integration guides.
Conclusion
Bing SERP API access is essential for comprehensive search data analysis in 2025. Whether you’re building SEO tools, conducting market research, or training AI models, dual Google+Bing support provides better insights and competitive advantages.
SERPpost makes Bing API integration simple:
- �?Unified API for both Google and Bing
- �?No extra cost for Bing access
- �?Consistent response format
- �?Developer-friendly with SDKs
- �?100 free credits to get started
Ready to leverage Bing search data? Start your free trial today and see the difference dual-engine support makes.
Frequently Asked Questions
Q: Is Bing SERP API worth it if Google has 90%+ market share?
A: Yes, especially for enterprise/B2B markets where Bing’s share is higher. Plus, diverse data sources improve SEO insights and AI training.
Q: How much does Bing SERP API cost?
A: With SERPpost, Bing is included at no extra cost. Plans start at $3/1000 searches for both Google and Bing.
Q: Can I switch between Google and Bing easily?
A: Yes! With SERPpost, just change the engine parameter from 'google' to 'bing'. Everything else stays the same.
Q: What’s the difference between Microsoft’s official Bing API and SERPpost?
A: Microsoft’s API requires Azure setup and costs more ($7/1K). SERPpost is simpler, cheaper, and includes Google too.
Q: Do I need separate API keys for Google and Bing?
A: Not with SERPpost! One API key works for both engines.
Related Articles:
- Google vs Bing SERP API: Complete Comparison
- Multi Search Engine API Guide
- SERP API Pricing Comparison 2025
About the Author: David Chen is a Senior API Developer at SERPpost with 8+ years of experience building search and data extraction tools. He has helped hundreds of developers integrate SERP APIs into their applications and specializes in multi-engine search solutions.
Ready to integrate Bing SERP API? Get your free API key and start building with SERPpost today.s. He specializes in API architecture and has helped hundreds of developers integrate SERP APIs into their applications.*