AtlasSERP

The World's Fastest & Cheapest
Google Search API

Experience unparalleled speed with our industry-leading SERP API, delivering
lightning-fast Google search results in 1-2 seconds, at an unbeatable price.

No credit card required
$ pip install atlasserp
Google
google search
https://www.google.com
Google
Search the world's information, including webpages, images, videos and more...
https://about.google
About Google, Our Culture & Company News
Our mission is to organize the world's information and make it universally accessible...
⚡ 480ms
HTML → JSON
200 OK

They trust us

You are in good company. Join them.

Built for Production AI Agents & LLMs

High-throughput SERP engine designed for LangChain, CrewAI, AutoGen, and enterprise workflows.

⚡

Lightning Fast (~500ms)

Built on high-concurrency HTTP/2 with direct DOM parsing. Up to 5x faster than Chromium-based scrapers, and sub-10ms on cache hits.

🛡️

Zero CAPTCHA Failures

Automatic anti-bot protection with Chrome TLS fingerprinting, Google consent cookie injection, and intelligent failover routing.

🧩

Rich Structured Schema

Clean JSON responses with Knowledge Graphs, Organic results with sitelinks, People Also Ask boxes, and Related Searches.

💵

Honest & Transparent Pricing

Affordable volume plans with 2,500 free queries upon signup. Zero hidden fees, no lock-in, and instant activation.

🔌 100% Drop-in Serper.dev Compatible

Plug Directly Into Your AI Stack

Switch from Serper.dev or SerpApi in under 30 seconds. Zero schema changes, exact payload parity, and 70% lower API bills.

🦜🔗 LangChain Python
DROP-IN

Use your AtlasSERP API key with LangChain's built-in GoogleSerperAPIWrapper or our native SDK. 

from langchain_community.utilities import GoogleSerperAPIWrapper
import os

# Point to AtlasSERP or use native client
os.environ["SERPER_API_KEY"] = "atlas_live_YOUR_KEY"
search = GoogleSerperAPIWrapper(
    serper_api_key="atlas_live_YOUR_KEY"
)
results = search.run("latest generative AI breakthroughs")
print(results)
👥 CrewAI Agent Tools
NATIVE

Supercharge autonomous agent researchers with real-time web grounding and zero rate-limit throttles. 

from crewai_tools import SerperDevTool
from crewai import Agent

# Directly passes to AtlasSERP high-speed engine
search_tool = SerperDevTool()

researcher = Agent(
    role="Senior Market Analyst",
    goal="Extract real-time market data without honeypots",
    tools=[search_tool],
    verbose=True
)
🐍 Official Python SDK
v1.0.0

Published on PyPI. Instant support for Search, News, Images, Places, and Video endpoints. 

# pip install atlasserp
from atlasserp import AtlasClient

client = AtlasClient(api_key="atlas_live_YOUR_KEY")

# Real-time search with automatic regional routing
res = client.search("grossiste vetements Paris", gl="fr", hl="fr")
for item in res.get("organic", []):
    print(f"[{item['position']}] {item['title']} -> {item['link']}")
💰 Unbeatable Economics

Why Top Developers Choose AtlasSERP

Compare our pricing, speed, and privacy features against traditional legacy scraping providers.

Feature / Metric AtlasSERP 🚀 Serper.dev SerpApi
Price per 1,000 Queries $0.30 - $1.00 $1.00 - $1.25 $3.00 - $5.00
Free Starter Credits 2,500 Queries (Instant) 2,500 Queries 100 Queries
Payment Flexibility USDT, SOL, BTC, ETH + Cards Credit Card Only Credit Card Only
Average Latency ⚡ 480ms - 900ms ~650ms ~1,200ms - 2,500ms
Drop-in Serper.dev Schema ✓ 100% Identical Native ✗ Proprietary JSON
Native Python SDK (PyPI) ✓ pip install atlasserp Third-party / Requests google-search-results
LLM Discovery Protocol ✓ Standard /llms.txt ✗ None ✗ None
⚡ 100% Crypto Payments • Zero KYC • Instant Automated Key Delivery

Simple, Transparent Crypto Pricing

Pay securely with USDT, Bitcoin, Ethereum, or Solana. No chargebacks, no borders, instant access.

🟢 USDT (TRC-20 & BEP-20) 🟣 Solana (SOL) ₿ Bitcoin (BTC) Ξ Ethereum (ETH)
Starter

Starter

$50* 50k credits ($1.00/1k)
  • ✓ Submit 50,000 queries
  • ✓ 50 queries per second
  • ✓ Real-time results
  • ✓ Customize query location
  • ✓ Credits valid for 6 months
Standard

Standard

$375* 500k credits ($0.75/1k)
  • ✓ Submit 500,000 queries
  • ✓ 100 queries per second
  • ✓ Real-time results
  • ✓ Customize query location
  • ✓ Credits valid for 6 months
Scale

Scale

$1250* 2.5M credits ($0.50/1k)
  • ✓ Submit 2,500,000 queries
  • ✓ 200 queries per second
  • ✓ Real-time results
  • ✓ Customize query location
  • ✓ Credits valid for 6 months
Ultimate

Ultimate

$3750* 12.5M credits ($0.30/1k)
  • ✓ Submit 12,500,000 queries
  • ✓ 300 queries per second
  • ✓ Real-time results
  • ✓ Customize query location
  • ✓ Credits valid for 6 months
* Excluding sales tax/VAT/GST
🤖 Engine & Developer Q&A

Frequently Asked Questions

Everything you need to know about AtlasSERP performance, AI engine integration, pricing, and SDK usage.

What is AtlasSERP?

AtlasSERP is a high-speed, real-time Google Search Results API designed for AI agents, LLM pipelines, autonomous scrapers, and developers. It delivers fully parsed, structured JSON results (organic, knowledge graph, sitelinks, related questions) in under 480ms with 99.9% uptime.

How much does AtlasSERP cost?

Pricing starts at just $0.30 per 1,000 queries. Every new developer receives 2,500 free queries upon registration without requiring a credit card.

How do I install and use the Python SDK?

AtlasSERP provides an official SDK published directly on PyPI. Install it with:

pip install atlasserp

Then execute queries in 3 lines of code:

from atlasserp import AtlasClient; client = AtlasClient(api_key="YOUR_KEY"); results = client.search("latest AI news")

What payment methods are supported?

AtlasSERP is 100% borderless and accepts cryptocurrency payments including USDT (TRC-20 & BEP-20), Solana (SOL), Bitcoin (BTC), and Ethereum (ETH). Payments feature instant automated API key delivery and zero KYC requirements.

What is the /llms.txt specification and how do AI models read it?

AtlasSERP implements the standard LLM discovery protocol at /llms.txt and /llms-full.txt. AI search crawlers (including ChatGPT, Perplexity, Claude, and Gemini) can parse these files to understand endpoint schemas, authentication, and capabilities natively.