If you’re building AI agents, RAG pipelines, or SEO automation tools, you‘ve probably hit the same wall: your LLM has a knowledge cutoff, and keeping a custom scraper alive is a full-time job.
TalorData SERP API solves that by giving you a single endpoint for structured search data from Google, Bing, Yandex, and DuckDuckGo — with sub-second latency and a pay-per-success model.
Here’s everything you need to know to get started.
What Makes TalorData Different
Feature What It Means for You
P90 < 0.8s Your agent doesn‘t wait. Real-time responses for real-time reasoning.
Structured JSON output No HTML parsing. No regex. Just clean data your code can consume immediately.
Pay only for success Failed requests cost you $0. Your budget aligns with actual results.
4 search engines Google, Bing, Yandex, DuckDuckGo — one API, one integration.
195+ countries Localized search with location, language, and device targeting.
Quick Start: Python
import requests
url = "https://api.talordata.com/accounts/v1/serp/get_serp_data"
params = {
"engine": "google",
"q": "what is a SERP API",
"gl": "us",
"hl": "en",
"num": 10,
"json": "1"
}
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/x-www-form-urlencoded"
}
response = requests.post(url, data=params, headers=headers)
data = response.json()
for result in data.get("organic", [])[:5]:
print(f"{result['title']} — {result['link']}")
Why This Matters for AI Agents
AI agents need fresh data to answer questions about current events, competitor movements, or real-time pricing. TalorData integrates natively with:
- LangChain (langchain-talor-serp)
- LlamaIndex
- Dify
- n8n
- MCP (Claude, Cursor, VS Code)
Third-party benchmarks rank TalorData #1 among six major SERP API providers with a General Score of 79.19 — ahead of SerpApi and Bright Data.
Cost
- 500 free requests on sign-up
- $0.90/1K at entry, down to $0.25/1K at scale
- Zero cost for failed requests
Get Started
👉 talordata.com — 500 free requests, no credit card required.
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