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RawSerp
Now in public beta

Search results as Markdown, built for AI

Query Google and get clean JSON or Markdown you can drop directly into prompts and RAG pipelines. No HTML parsing. No regex. No bloat. Bing and DuckDuckGo coming soon.

Start with a 7-day free trial · cancel anytime

rawserp · search
$ curl -X POST https://api.rawserp.com/v1/search \
-H "Authorization: Bearer sk-rawserp-•••" \
-d '{"q":"best vector databases 2026","output":"markdown"}'
## The Best Vector Databases in 2026
**Source:** thenewstack.io · 2026-01-12
**URL:** https://thenewstack.io/vector-databases-2026/
We compared Pinecone, Weaviate, Qdrant, Milvus,
and Chroma across latency, hybrid search, and cost.
A curl request to the RawSerp search endpoint and the resulting Markdown response.
  • Google
  • Bing · soon
  • DuckDuckGo · soon
RawSerp
{ json | markdown }
Why RawSerp

Built different than every SERP API

Existing SERP APIs were built for SEO agencies. RawSerp is built for developers shipping AI products.

01

Markdown output

Every result includes a ready-to-use Markdown field. Drop it straight into your prompt or RAG pipeline — no parsing, no regex, no cleanup.

02

Simple monthly plans

Pick a plan that fits your volume — Google search, both output formats, and async batch included. Start with a 7-day free trial; cancel anytime.

03

Async batch

Submit thousands of queries as background jobs. Poll for results or receive a webhook when they're ready. No rate limit games.

04

Engine-ready API

Query Google today with a single parameter. Bing and DuckDuckGo are coming soon behind the same response shape — so adding an engine is a one-line change, never a rewrite.

05

Geo targeting

Set country and language with gl and hl parameters. Get results as seen from any supported locale — essential for multi-market pipelines.

06

Built for AI

No bloat, no HTML parsing, no SEO metadata. RawSerp returns exactly what AI pipelines need: titles, URLs, snippets, and Markdown.

From search to prompt

Three lines from query to context

RawSerp returns a markdown field on every result. No post-processing needed.

ground.pypython
import os
import requests

resp = requests.post(
    "https://api.rawserp.com/v1/search",
    headers={"Authorization": f"Bearer {os.environ['RAWSERP_API_KEY']}"},
    json={
        "query": "best vector databases 2026",
        "num": 5,
    },
)
data = resp.json()

for result in data["organic"]:
    print(result["markdown"])  # ready for your prompt
result.markdown
## The Best Vector Databases in 2026
**Source:** thenewstack.io · 2026-01-12
**URL:** https://thenewstack.io/vector-databases-2026/

We compared Pinecone, Weaviate, Qdrant, Milvus, and Chroma
across four dimensions: latency at scale, hybrid search
quality, developer experience, and total cost of ownership.
Drop straight into your RAG context. No cleaning required.
Pricing · launch offer

Simple monthly plans

Pick a plan that fits your volume — Google search, both output formats, and async batch included. Cancel anytime.

Starter
$24.99$9.99/mo
1,000 searches / mo
Growth
$125$39.99/mo
5,000 searches / mo
Scale
$250$69.99/mo
10,000 searches / mo
FAQ

Questions, answered

What is RawSerp?

RawSerp is a SERP API that returns Google search results (with Bing and DuckDuckGo coming soon) as clean JSON or Markdown, designed for AI pipelines and RAG applications.

How is RawSerp different from SerpApi?

RawSerp provides native Markdown output for LLM injection, async batch processing, simple monthly plans, and a cleaner REST API. It's built specifically for AI and RAG pipelines, not SEO agencies.

What search engines does RawSerp support?

RawSerp supports Google today, with Bing and DuckDuckGo coming soon. You select the engine with a single parameter, and the response shape is identical across engines.

Do unused searches roll over?

No. Each plan includes a monthly search quota that resets at the start of every billing cycle. Pick the plan that fits your volume and upgrade anytime.

Start grounding your AI in real data

Get search results as JSON or Markdown. Simple monthly plans, no parsing, no bloat. Just results.

https://api.rawserp.com/v1 · v1