Search API

Search the web. Get the content.

Not just titles and snippets. Search API returns SERP data plus the full scraped content of every result in one call. No chaining search + scrape. It's built in.

Full page content: not just snippetsFreshness filter: last 24h, week, month10 results with full content in one call
best Python frameworks 2024Top Python Frameworks in 2024realpython.com/frameworks#1Best Python Web Frameworksfullstackpython.com/web#2Django vs FastAPI vs Flasktestdriven.io/django-fast#3Python Frameworks Comparedkinsta.com/python-compare#4Full Content2,400 wordsrealpython.comsearch.anakin.io / v1live

The problem

Search APIs give you snippets. You need the page.

Every LLM pipeline that needs web knowledge has the same problem: search gives you links, but you need content. Search API collapses both steps into one.

The old way

  • Search API returns only snippets
  • Scrape each result URL separately
  • Handle pagination yourself
  • Combine search + scrape in code
  • Parse HTML from each result
  • Deduplicate and rank results
  • Chain multiple API calls
  • Pay for search + scrape separately
S

With Search API

  • One call returns SERP + full content
  • All results scraped automatically
  • Filter by date, region, language
  • Everything in one structured response
  • Clean Markdown from each result
  • Ranked by relevance already
  • Single API call
  • One credit covers both

10 results + full content · 1.1s

markdown body · metadata · citations

What you actually get

SERP titles and links, plus everything behind them.

Standard search APIs give you 10 blue links. Anakin Search gives you the full scraped content of every result, in one call.

Standard Search API

techreview.io/vector-db-2025

Best Vector Databases 2025 — TechReview

mlops.community/pinecone-weaviate

Pinecone vs Weaviate: Complete Guide

towardsdatascience.com/vector-stores

Top 10 Vector Stores for RAG

title + url + snippet only

Anakin Search API

+ full content

techreview.io/vector-db-2025

Best Vector Databases 2025 — TechReview

Extracted content (markdown)

# Best Vector Databases for RAG in 2025
After testing 8 production vector stores across latency, throughput, and cost dimensions, Qdrant emerges as the top choice for most teams...

1,842 words14 internal linkspublished: Jan 2025
title + url + snippet + full scraped body

How it works

One call. SERP and content back.

01

Send a query

POST any search query with optional filters: freshness, region, language, number of results (up to 10).

02

We search and scrape

We run the search, collect the top results, then scrape the full content of each result page in parallel, automatically.

03

Get SERP + full content

Each result includes title, URL, snippet, position, and full page content in Markdown. Ready for LLM input, RAG pipelines, or data extraction.

0

results per call

with full content

0

credit

covers search + all scrapes

0s

median latency

for 10 full results

Quick start

Running in minutes.

One POST request returns search results with full page content. No extra scraping step, no additional cost.

1
Sign up and get your API key
2
POST a query to /v1/search
3
Get SERP data + full content in one response
import requests

result = requests.post(
    "https://api.anakin.io/v1/search",
    headers={"X-API-Key": "your_api_key"},
    json={
        "query": "best Python web frameworks 2024",
        "num_results": 5,
        "freshness": "month",  # 24h | week | month
    },
).json()

for r in result["results"]:
    print(f"[{r['position']}] {r['title']}")
    print(f"  URL: {r['url']}")
    print(f"  Content: {r['content'][:200]}...")
Authenticate with the X-API-Key header.Get API key

FAQ

Common questions

Search API

Search returns links.
We return the content.

Stop chaining search and scrape. One call does both.