SearXNG Keeps Getting Blocked: Why API Search Wins
SearXNG scrapes search engines that actively block automated queries. API search with authorized access delivers consistent results without IP bans or CAPTCHAs.
SearXNG is free and private but gets blocked by Google, Bing, and DuckDuckGo after sustained use in production. The core problem: SearXNG scrapes search engines that actively detect and block automated queries. For production agents, structured search APIs with authorized access deliver consistent results without the IP bans and CAPTCHA walls.
Why SearXNG gets blocked
- Scrapes Google/Bing/DDG directly -- violates their ToS
- No API key means no rate limit negotiation
- Google fingerprints SearXNG request patterns within hours
- Rotating proxies helps temporarily but adds cost and complexity
- Public SearXNG instances are even worse -- shared IP, shared ban
SearXNG vs API: real comparison
Factor | SearXNG | Structured API
Cost | Free (hosting) | $0.005/query
Reliability | Degrades daily | 99.9% uptime
Setup | Docker + config | API key
Google blocks | Yes, frequently | No (authorized)
Multi-platform | Config per engine| One endpoint
JSON structure | Inconsistent | Typed schema
Maintenance | Ongoing patches | ZeroMigrate from SearXNG to API search
# Before: SearXNG (breaks after a few hours)
# import requests
# resp = requests.get("http://localhost:8888/search", params={
# "q": query, "format": "json"
# })
# After: Scavio API (consistent, structured)
import requests
def search(query, num_results=5):
resp = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "YOUR_KEY"},
json={
"query": query,
"num_results": num_results
}
)
return resp.json()
results = search("python web scraping alternatives 2026")
for r in results.get("organic_results", []):
print(f"{r['title']}: {r['url']}")
When SearXNG still makes sense
SearXNG works for personal use, low-volume hobby projects, and situations where privacy matters more than reliability. If you are making fewer than 50 searches per day and can tolerate occasional failures, SearXNG is genuinely useful. The problems start at production scale.
// MCP config: swap SearXNG for Scavio in Claude/Cursor
// Before (SearXNG):
// "searxng": { "url": "http://localhost:8888/search" }
// After (Scavio MCP):
const mcpConfig = {
mcpServers: {
scavio: {
url: "https://mcp.scavio.dev/mcp",
headers: {
"x-api-key": process.env.SCAVIO_KEY
}
}
}
};
// Same tools available: web_search, youtube_search,
// amazon_search, reddit_search, etc.
console.log(JSON.stringify(mcpConfig, null, 2));
The hybrid approach
Some developers keep SearXNG as a fallback and use a paid API as the primary search backend. This gives you privacy for low-priority queries and reliability for production-critical ones. But honestly, maintaining SearXNG just for fallback is rarely worth the ops burden.
Bottom line
SearXNG is a great tool for personal privacy. It is not a production search backend. If your agents need reliable search at scale, use an API with authorized access to search data.