Perplexity AI API

Perplexity AI Scraper

Get the same structured response a user sees in Perplexity AI — including inline citations, source cards, related questions, and follow-up queries — as clean JSON.

Try free — 500 credits Read the docs →

3 credits / request No credit card required to start

api.scrapellm.com

curl "https://api.scrapellm.com/scrapers/perplexity" \
  -H "X-API-Key: your_api_key" \
  -G \
  --data-urlencode "prompt=What brands do marketers recommend?" \
  --data-urlencode "country=US"

// Response
{
  "scraper": "perplexity",
  "status": "done",
  "result": "Marketers commonly recommend...",
  "links": [ { "url": "...", "text": "..." } ],
  "credits_used": 3
}

Features

Everything you need from Perplexity AI

Built for developers and data teams who need reliable, structured output at any volume.

Live citations

Extracts every inline citation Perplexity uses, with source URLs and titles.

Source cards

Full structured source cards as shown in the Perplexity sidebar.

Markdown output

Response delivered in markdown and plain text formats.

Multi-region

Route requests through any country for localised Perplexity results.

Async support

Fire-and-forget async requests with webhook callbacks.

Integration

Simple to integrate

One GET request. Structured JSON back. Works in any language.

import requests

response = requests.get(
  "https://api.scrapellm.com/scrapers/perplexity",
  headers={"X-API-Key": "your_api_key"},
  params={
    "prompt": "What brands do marketers recommend?",
    "country": "US",
  }
)

print(response.json())

const params = new URLSearchParams({
  prompt: 'What brands do marketers recommend?',
  country: 'US',
});

const response = await fetch(
  `https://api.scrapellm.com/scrapers/perplexity?${params}`,
  { headers: { 'X-API-Key': 'your_api_key' } }
);
const data = await response.json();
console.log(data);

curl "https://api.scrapellm.com/scrapers/perplexity" \
  -H "X-API-Key: your_api_key" \
  -G \
  --data-urlencode "prompt=What brands do marketers recommend?" \
  --data-urlencode "country=US"

Response schema 200 OK

Field	Type	Description
result	string	Plain text response from Perplexity
result_markdown	string	Markdown-formatted response
links	array	Cited sources with URL and title
related_questions	array	Follow-up questions suggested by Perplexity
credits_used	integer	Credits consumed by this request
elapsed_ms	float	Request duration in milliseconds

Use cases

Built for real-world workflows

Teams across marketing, SEO, research, and product use ScrapeLLM to get structured Perplexity AI data at the scale that matters.

Citation tracking Brand visibility in AI search Research automation SEO intelligence Competitor monitoring

Why not the direct Perplexity AI API?

Direct APIs don't return sources, citations, or the real UI response

Token-based pricing is unpredictable and expensive at scale

No multi-region support — can't request from specific geographies

With ScrapeLLM

Real UI responses with all sources, citations, and structured data

Flat credit pricing — predictable costs at any volume

Multi-region routing — request from any country in one API call