Top SerpApi Competitors: Cheaper Search APIs for Developers

SerpApi has been the default SERP API for years — clean free JSON formatter from Google, Bing, YouTube, and others. But at $25/month for 1,000 searches and $725/month for 100K, the pricing punishes teams that need volume. If you're building SEO tools, AI agents, or market research platforms, there are better options.

This guide covers the 7 best SerpApi alternatives, ranked by value for developers. All include real pricing (verified April 2026) and working code examples.

Key Takeaways

• SerpApi charges $25/mo minimum with only 1K searches — the highest entry price of any SERP API
• SearchHive's SwiftSearch starts at $9/mo for 5K searches — half the cost, 5x the volume
• Tavily gives you 1K free searches/month and optimized AI-agent results
• Brave Search API offers flat $5/1K pricing — the most transparent per-query cost
• Exa delivers semantic search that finds pages by meaning, not just keywords
• Serpstat bundles SERP data with full SEO tools but requires $169/mo minimum for API access
• Google Custom Search API gives 100 free queries/day — good for prototyping, not production

1. SearchHive SwiftSearch — Best Overall Value

SearchHive's SwiftSearch API delivers search results from multiple engines with structured JSON output. It's part of a unified platform that includes scraping (ScrapeForge) and deep research (DeepDive).

Pricing: Free (500 credits) → Starter $9/month (5K credits) → Builder $49/month (100K credits) → Unicorn $199/month (500K credits)

At the Builder tier, you get 100K searches for $49/month — that's $0.49/1K searches compared to SerpApi's $7.25/1K at equivalent volume (Production + volume add-ons). The savings are 93%.

import requests

API_KEY = "your_searchhive_key"

# SwiftSearch — multi-engine search results
resp = requests.get("https://api.searchhive.dev/v1/search", params={
    "api_key": API_KEY,
    "query": "best programming languages 2026",
    "num_results": 10,
    "engine": "google"
})

for result in resp.json()["results"]:
    print(result["title"])
    print("  " + result["url"])
    print("  " + result["snippet"][:100] + "...")
    print()

The differentiator: when you need to follow up a search with page scraping, you don't switch tools. ScrapeForge runs on the same credits.

# Scrape a result page — same API key, same credits
scrape = requests.get("https://api.searchhive.dev/v1/scrape", params={
    "api_key": API_KEY,
    "url": result["url"],
    "format": "markdown"
})
print(scrape.json()["content"])

2. Tavily — Best for AI Agents

Tavily is purpose-built for LLM-powered applications. Results come pre-filtered for relevance, with optional direct answer generation.

Pricing: Free (1K credits/month) → Pay-as-you-go ($0.008/credit) → Enterprise (custom)

For AI agents that consume search results as context, Tavily's $0.008/credit works out to $8/1K searches — more expensive than SearchHive but with cleaner output that can reduce downstream token costs.

import requests

response = requests.post("https://api.tavily.com/search", json={
    "api_key": "your_tavily_key",
    "query": "python async web scraping best practices",
    "max_results": 5,
    "search_depth": "advanced",
    "include_answer": True,
    "include_raw_content": False
})

data = response.json()
# Direct answer — ready for LLM context
print(data["answer"])
for r in data["results"]:
    print(f"- [{r['score']}] {r['title']}: {r['url']}")

No scraping, no SERP-specific features (no local results, no knowledge panels). Pure web search optimized for AI.

3. Brave Search API — Most Transparent Pricing

Brave Search API uses flat per-query pricing with no monthly subscription required.

Pricing: Free ($5/month in search credits) → $5 per 1K searches → $4 per 1K answer engine queries

At $5/1K, Brave sits between SearchHive ($0.49/1K at Builder) and SerpApi ($7.25/1K at equivalent volume). The simplicity is appealing — no monthly commitment, no plan tiers, just pay per query.

import requests

headers = {"Accept": "application/json", "Accept-Encoding": "gzip"}
headers["X-Subscription-Token"] = "your_brave_key"

resp = requests.get("https://api.search.brave.com/res/v1/web/search",
    params={"q": "fastapi web scraping tutorial", "count": 10},
    headers=headers)

for r in resp.json().get("web", {}).get("results", []):
    print(r["title"] + ": " + r["url"])

Good basic search API. Limited result formatting, no scraping, and smaller index than Google/Bing at this point.

4. Exa — Best for Semantic Search

Exa uses neural embeddings to match queries to pages by meaning, not just keyword overlap. It's particularly effective for technical content discovery.

Pricing: Free (1K requests) → Search $7/1K → Deep Search $12/1K → Contents $1/1K pages

import requests

resp = requests.post("https://api.exa.ai/search", headers={
    "x-api-key": "your_exa_key"
}, json={
    "query": "production-ready web scraping architecture patterns",
    "num_results": 10,
    "type": "neural",
    "contents": {"text": {"maxCharacters": 500}}
})

for r in resp.json()["results"]:
    print(f"[{r['score']:.2f}] {r['title']}")

Best when you need to find specific types of content (docs, repos, research) rather than general web results. The neural matching surfaces pages that keyword search misses — but at $7/1K, it costs more than SwiftSearch for similar volumes.

5. Serpstat — Best for SEO Workflows

Serpstat is an all-in-one SEO platform that happens to include a SERP API. If you need rank tracking, keyword research, and site auditing alongside raw search results, it's a one-stop shop.

Pricing: Individual $50/month (no API) → Team $169/month (400K API credits) → Agency $410/month (2M API credits)

The catch: API access requires the Team plan at $169/month minimum. That's steep if you only need search results.

import requests

resp = requests.get("https://api.serpstat.com/v3/srp/keywords", params={
    "token": "your_serpstat_token",
    "query": "web scraping tools",
    "se": "g_us"
})

data = resp.json()
for keyword in data.get("result", {}).get("keywords", [])[:10]:
    print(f"{keyword['keyword']} - volume: {keyword['volume']}")

Best fit: teams already doing SEO work that need SERP data integrated. Poor fit: developers who just want search results.

6. Google Custom Search API — Best for Prototyping

Google's own JSON API for Custom Search. Not a true SERP scraper — it searches a configurable corpus (the entire web, or specific sites you define).

Pricing: Free (100 queries/day) → $5 per 1K queries beyond that

At 100 queries/day, you get ~3K queries/month for free. Beyond that, $5/1K is competitive.

import requests

resp = requests.get("https://www.googleapis.com/customsearch/v1", params={
    "key": "your_google_api_key",
    "cx": "your_custom_search_engine_id",
    "q": "best python web scraping frameworks",
    "num": 10
})

for item in resp.json().get("items", []):
    print(item["title"] + ": " + item["link"])

Major limitations: requires a Google Cloud project and Custom Search Engine setup, 10 results max per query, no structured SERP features (no local pack, no featured snippets), and quota is shared across all Google APIs on your project.

7. Bing Web Search API — Enterprise Backup

Microsoft's Bing Search API via Azure. Solid infrastructure, global availability, and familiar enterprise compliance.

Pricing: Free (1K transactions/month S1) → S1 $3/1K → S2 $6/1K → S3 $12/1K

At S1 pricing ($3/1K), Bing is cheaper than SerpApi and competitive with Brave. The Azure integration is a plus for enterprise teams already in that ecosystem.

import requests

resp = requests.get(
    "https://api.bing.microsoft.com/v7.0/search",
    headers={"Ocp-Apim-Subscription-Key": "your_bing_key"},
    params={"q": "web scraping python 2026", "count": 10}
)

for r in resp.json().get("webPages", {}).get("value", []):
    print(r["name"] + ": " + r["url"])

Decent search quality, enterprise SLAs available, but the Azure setup friction is real and pricing escalates quickly at S3.

Comparison Table

The Verdict

SerpApi's data quality is hard to beat, but you're paying a premium for it. At production scale (50K+ searches/month), the cost difference between SerpApi and SearchHive is thousands of dollars per year.

For most developers building AI tools, SearchHive's SwiftSearch hits the sweet spot: multi-engine results, clean JSON, and pricing that doesn't punish growth. Pair it with ScrapeForge for follow-up page extraction and you've replaced both SerpApi and a scraping API with one subscription.

Start free at searchhive.dev — 500 credits, no credit card, full API access.