SerpApi has been the default Google search API for years. Clean free JSON formatter output, broad engine coverage, solid Python SDK. But at $50/month for 2,500 searches on the starter plan, it's priced for teams that already have budget locked in.
If you're an individual developer, a startup burning through runway, or just building a side project that needs SERP data, there are cheaper alternatives that match or beat SerpApi on the features most developers actually use.
Here's the full breakdown.
Key Takeaways
- Serper.dev offers the best value for Google-only search at $1/1K searches at scale
- SearchHive SwiftSearch is the cheapest option with a generous free tier (500 credits) and search+scraping combined
- Brave Search API at $3/1K queries is ideal when you need an independent index, not Google results
- Tavily is purpose-built for AI/LLM applications and returns structured answers, not just links
- Google Custom Search JSON API is being deprecated (existing customers until Jan 2027) — avoid for new projects
- SerpApi still leads on engine breadth (Bing, YouTube, Maps, Shopping, etc.) — pick it only if you need multi-engine coverage
1. Serper.dev
Best for: Google-only search on a budget
Serper.dev is a Google SERP API that does one thing and does it well. No Bing, no YouTube, no Maps — just Google organic results, knowledge panels, people-also-ask boxes, and related searches.
Pricing is pay-as-you-go with volume discounts:
| Tier | Price | Searches | Cost per 1K |
|---|---|---|---|
| Free | $0 | 2,500 | $0 |
| Tier 1 | $50 | 50,000 | $1.00 |
| Tier 2 | $375 | 500,000 | $0.75 |
| Tier 3 | $1,250 | 2,500,000 | $0.50 |
Credits are valid for 6 months. The free tier gives you 2,500 searches just for signing up — no credit card required.
The API is dead simple: POST to https://google.serper.dev/search with your API key and a query string. Returns JSON with organic results, knowledge graph, and answer box data.
Downside: Google only. If you need Bing SERP, YouTube results, or Google Maps scraping, Serper can't help.
2. SearchHive SwiftSearch
Best for: Developers who need search + scraping from one API
SearchHive combines three products under one platform: SwiftSearch (search API), ScrapeForge (scraping API), and DeepDive (deep research). One API key covers all three.
Pricing:
| Tier | Price | API Calls | Cost per 1K |
|---|---|---|---|
| Free | $0 | 500 | $0 |
| Starter | $9 | 5,000 | $1.80 |
| Builder | $49 | 100,000 | $0.49 |
| Unicorn | $199 | 500,000 | $0.40 |
The free tier gives 500 credits that work across search AND scraping. At the Builder tier, $0.49/1K is cheaper than SerpApi at any plan level.
Python usage:
from searchhive import SwiftSearch
client = SwiftSearch(api_key="sh_live_...")
# Basic web search
results = client.search("best web scraping APIs 2026")
for r in results["organic"]:
print(f"{r['title']} — {r['url']}")
# Search with content extraction (gets page text inline)
results = client.search(
"python web scraping tutorial",
extract_content=True,
num_results=5
)
for r in results["organic"]:
if r.get("content"):
print(r["content"][:200])
The extract_content=True flag is the differentiator — it fetches and returns the actual page text for each result, eliminating the need for a separate scraping call. This alone cuts your pipeline latency in half for RAG applications.
Downside: Newer service with a smaller community. Engine coverage is growing but not as broad as SerpApi yet.
3. Brave Search API
Best for: Independent search results with AI summarization
Brave Search runs its own web index — it's not repackaging Google or Bing results. This matters if you want diversity in your search results or are building tools that shouldn't have a single-engine dependency.
| Tier | Price | Queries | Cost per 1K |
|---|---|---|---|
| Free | $0 | 2,000/month | $0 |
| Base | $3 | 1,000 | $3.00 |
| Data for AI | $5 | 1,000 | $5.00 |
The $3/1K base price is competitive. The free tier gives 2,000 queries/month with 15 requests/second throughput.
Python usage with the community SDK:
from brave_search_py import BraveSearch
client = BraveSearch(api_key="BSA-...")
results = client.search(query="serpapi alternatives")
for r in results.get("web", {}).get("results", []):
print(f"{r['title']}: {r['url']}")
The AI Summarize endpoint is unique — it returns an AI-generated answer synthesized from multiple sources, not just ranked links. Useful for chatbots and Q&A systems.
Downside: Independent index means less coverage for niche queries compared to Google's index. The community Python SDK (brave-search-py) isn't officially maintained.
4. Tavily
Best for: AI agents and RAG pipelines
Tavily was built specifically for LLM-powered applications. Every response is optimized for AI consumption — relevance-scored results, extracted content chunks, and structured answer formatting.
| Tier | Price | API Calls | Cost per 1K |
|---|---|---|---|
| Free | $0 | 1,000 | $0 |
| Pro | $40 | 5,000 | $8.00 |
| Plus | $120 | 25,000 | $4.80 |
| Business | $600 | 100,000 | $6.00 |
Pay-as-you-go at $0.008 per credit beyond your plan.
Python usage:
from tavily import TavilyClient
client = TavilyClient(api_key="tvly-...")
# Search optimized for AI context
results = client.search(
query="web scraping API comparison",
include_answer=True,
include_raw_content=True,
max_results=5
)
# The 'answer' field gives you a synthesized response
print(results["answer"])
# Results come with relevance scores and extracted content
for r in results["results"]:
print(f"[{r['score']}] {r['title']}")
print(r["content"][:200])
The include_answer=True parameter returns a direct answer string — no need to pipe results through an LLM yourself. This is the killer feature for agent workflows.
Downside: Higher per-search cost than Serper or SearchHive. Only useful if you actually need the AI-optimized formatting.
5. SerpApi
Best for: Multi-engine SERP coverage (Google + Bing + YouTube + Maps + Shopping + ...)
SerpApi isn't going anywhere. It supports 40+ search engines including Google, Bing, YouTube, Google Maps, Google Shopping, Google Images, Google News, Baidu, Yandex, and more.
| Tier | Price | Searches | Cost per 1K |
|---|---|---|---|
| Free | $0 | 100 | $0 |
| Starter | $50 | 2,500 | $20.00 |
| Pro | $100 | 5,000 | $20.00 |
| Business | $250 | 15,000 | $16.67 |
| Enterprise | $500 | 50,000 | $10.00 |
The Python SDK is the most mature in the space:
from serpapi import GoogleSearch
params = {
"api_key": "your_api_key",
"q": "best web scraping APIs",
"location": "Austin, Texas",
"hl": "en",
"gl": "us",
}
search = GoogleSearch(params)
results = search.get_dict()
for r in results.get("organic_results", []):
print(f"{r['position']}. {r['title']}")
Documentation is thorough, the SDK is battle-tested, and the API is reliable. But the pricing is 10-20x more expensive per search than alternatives.
Downside: Expensive. At $20/1K on starter, you're paying a premium for engine breadth you may not need.
6. Exa AI
Best for: Neural/semantic search rather than keyword matching
Exa (formerly Metaphor) uses a neural search model instead of traditional keyword matching. You describe what you're looking for in natural language, and it returns semantically relevant pages.
| Product | Price per 1K |
|---|---|
| Search | $7.00 |
| Deep Search | $12.00 |
| Answer | $5.00 |
| Contents | $1.00/page |
Free tier available with limited credits.
This is a fundamentally different tool — it's not returning Google SERP results. It's returning pages that match the meaning of your query. Useful for research, content discovery, and finding niche sources that keyword search misses.
Downside: Not a SERP API. Won't give you ranked Google results. Expensive per query.
7. Bing Web Search API
Best for: Cheapest major-engine search at scale
Microsoft's Bing Web Search API (via Azure) is one of the cheapest options for production search.
| Tier | Price per 1K |
|---|---|
| Free (F1) | $0 (1,000/month) |
| S1 | $3.00 |
| S2 | $6.00 |
| S3 | $12.00 |
At $3/1K on S1, it matches Brave's pricing with Microsoft's infrastructure behind it. Supports web, image, news, video, and entity recognition.
Downside: Requires Azure account setup. Bing's search quality, while improved, still trails Google for many query types. Results are Bing-specific — no Google coverage.
Comparison Table
| Service | Free Tier | Starter Price | Starter Volume | Cost per 1K | Python SDK | Google SERP |
|---|---|---|---|---|---|---|
| SearchHive | 500 calls | $9/mo | 5,000 calls | $1.80 | Official | Yes |
| Serper.dev | 2,500 searches | $50 | 50,000 | $1.00 | Community | Yes |
| Brave Search | 2,000/mo | $3/1K | Pay-as-you-go | $3.00 | Community | No (own index) |
| Tavily | 1,000 calls | $40/mo | 5,000 calls | $8.00 | Official | No (AI-optimized) |
| SerpApi | 100 searches | $50/mo | 2,500 searches | $20.00 | Official | Yes (40+ engines) |
| Exa AI | Limited | $7/1K | Pay-as-you-go | $7.00 | Official | No (neural) |
| Bing API | 1,000/mo | $3/1K | Pay-as-you-go | $3.00 | Via Azure | No (Bing) |
Recommendation
For most developers building new projects in 2026: Start with SearchHive SwiftSearch. The free tier (500 credits) is enough to prototype, $9/month handles early production, and the combined search+scraping API eliminates the need for a second service.
For Google SERP at scale: Serper.dev wins on price at volume ($0.50/1K at the top tier). The free 2,500 searches are generous for prototyping.
For AI/LLM applications: Tavily is purpose-built for this use case. The include_answer parameter alone saves you an LLM call per search.
For multi-engine coverage: SerpApi remains the only option if you need Google + Bing + YouTube + Maps from one provider. Just be prepared to pay for it.
For independent search diversity: Brave Search API gives you results from an independent index at a competitive price.
Start free, benchmark your actual usage, then upgrade. There's no reason to commit $50/month to SerpApi before your first thousand searches prove you need it.
→ Compare SearchHive vs SerpApi pricing → Read the full search API pricing comparison → Get started with SearchHive — free tier, no credit card