Perplexity WebUI Scraper

Python scraper to extract AI responses from Perplexity's web interface.

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Installation

As a Library

# From PyPI (stable)
uv add perplexity-webui-scraper

# From GitHub dev branch (latest features)
uv add git+https://github.com/henrique-coder/perplexity-webui-scraper.git@dev

As MCP Server

No installation required - uvx handles everything automatically:

# From PyPI (stable)
uvx --from perplexity-webui-scraper[mcp]@latest perplexity-webui-scraper-mcp

# From GitHub dev branch (latest features)
uvx --from "perplexity-webui-scraper[mcp]@git+https://github.com/henrique-coder/perplexity-webui-scraper.git@dev" perplexity-webui-scraper-mcp

# From local directory (for development)
uv --directory /path/to/perplexity-webui-scraper run perplexity-webui-scraper-mcp

Requirements

• Perplexity Pro/Max account
• Session token (__Secure-next-auth.session-token cookie)

Getting Your Session Token

Option 1: Automatic (CLI Tool)

uv run get-perplexity-session-token

This interactive tool will:

1. Ask for your Perplexity email
2. Send a verification code to your email
3. Accept either a 6-digit code or magic link
4. Extract and display your session token
5. Optionally save it to your .env file

Option 2: Manual (Browser)

1. Log in at perplexity.ai
2. Open DevTools (F12) → Application/Storage → Cookies
3. Copy the value of __Secure-next-auth.session-token
4. Store in .env: PERPLEXITY_SESSION_TOKEN="your_token"

Quick Start

from perplexity_webui_scraper import Perplexity

client = Perplexity(session_token="YOUR_TOKEN")
conversation = client.create_conversation()

conversation.ask("What is quantum computing?")
print(conversation.answer)

# Follow-up (context is preserved)
conversation.ask("Explain it simpler")
print(conversation.answer)

Streaming

for chunk in conversation.ask("Explain AI", stream=True):
    print(chunk.answer)

With Options

from perplexity_webui_scraper import (
    ConversationConfig,
    Coordinates,
    Models,
    SourceFocus,
)

config = ConversationConfig(
    model=Models.DEEP_RESEARCH,
    source_focus=[SourceFocus.WEB, SourceFocus.ACADEMIC],
    language="en-US",
    coordinates=Coordinates(latitude=12.3456, longitude=-98.7654),
)

conversation = client.create_conversation(config)
conversation.ask("Latest AI research", files=["paper.pdf"])

API Reference

Perplexity(session_token, config?)

Parameter	Type	Description
session_token	str	Browser cookie
config	ClientConfig	Timeout, TLS, etc.

Conversation.ask(query, model?, files?, citation_mode?, stream?)

Parameter	Type	Default	Description
query	str	-	Question (required)
model	Model	Models.BEST	AI model
files	list[str | PathLike]	None	File paths
citation_mode	CitationMode	CLEAN	Citation format
stream	bool	False	Enable streaming

Models

Model	Description	Tier
Models.BEST	Pro - Automatically selects the most responsive model based on the query	pro
Models.DEEP_RESEARCH	Deep research - Fast and thorough for routine research	pro
Models.SONAR	Sonar - Perplexity's latest model	pro
Models.GEMINI_3_FLASH	Gemini 3 Flash - Google's fast model	pro
Models.GEMINI_3_FLASH_THINKING	Gemini 3 Flash Thinking - Google's fast model	pro
Models.GEMINI_31_PRO	Gemini 3.1 Pro - Google's latest model	pro
Models.GEMINI_31_PRO_THINKING	Gemini 3.1 Pro Thinking - Google's latest model with thinking	pro
Models.GPT_52	GPT-5.2 - OpenAI's latest model	pro
Models.GPT_52_THINKING	GPT-5.2 Thinking - OpenAI's latest model with thinking	pro
Models.CLAUDE_46_SONNET	Claude Sonnet 4.6 - Anthropic's fast model	pro
Models.CLAUDE_46_SONNET_THINKING	Claude Sonnet 4.6 Thinking - Anthropic's newest reasoning model	pro
Models.CLAUDE_46_OPUS	Claude Opus 4.6 - Anthropic's most advanced model	max
Models.CLAUDE_46_OPUS_THINKING	Claude Opus 4.6 Thinking - Anthropic's Opus reasoning model with thinking	max
Models.GROK_41	Grok 4.1 - xAI's latest model	pro
Models.GROK_41_THINKING	Grok 4.1 Thinking - xAI's latest model	pro
Models.KIMI_K25_THINKING	Kimi K2.5 - Moonshot AI's latest model	pro

CitationMode

Mode	Output
DEFAULT	text[1]
MARKDOWN	text[1](url)
CLEAN	text (no citations)

ConversationConfig

Parameter	Default	Description
model	Models.BEST	Default model
citation_mode	CLEAN	Citation format
save_to_library	False	Save to library
search_focus	WEB	Search type
source_focus	WEB	Source types
time_range	ALL	Time filter
language	"en-US"	Response language
timezone	None	Timezone
coordinates	None	Location (lat/lng)

Exceptions

Exception	Description
PerplexityError	Base exception for all library errors
HTTPError	HTTP error with status code and response body
AuthenticationError	Session token is invalid or expired (HTTP 401/403)
RateLimitError	Rate limit exceeded (HTTP 429)
FileUploadError	File upload failed
FileValidationError	File validation failed (size, type, etc.)
ResearchClarifyingQuestionsError	Research mode asking clarifying questions
ResponseParsingError	API response could not be parsed
StreamingError	Error during streaming response

MCP Server (Model Context Protocol)

The library includes an MCP server for AI assistants like Claude Desktop and Antigravity.

Each AI model is exposed as a separate tool - enable only the ones you need to reduce agent context size.

Configuration

Add to your MCP config file (no installation required):

Claude Desktop (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "perplexity-webui-scraper": {
      "command": "uvx",
      "args": [
        "--from",
        "perplexity-webui-scraper[mcp]@latest",
        "perplexity-webui-scraper-mcp"
      ],
      "env": {
        "PERPLEXITY_SESSION_TOKEN": "your_token_here"
      }
    }
  }
}

From GitHub dev branch:

{
  "mcpServers": {
    "perplexity-webui-scraper": {
      "command": "uvx",
      "args": [
        "--from",
        "perplexity-webui-scraper[mcp]@git+https://github.com/henrique-coder/perplexity-webui-scraper.git@dev",
        "perplexity-webui-scraper-mcp"
      ],
      "env": {
        "PERPLEXITY_SESSION_TOKEN": "your_token_here"
      }
    }
  }
}

From local directory (for development):

{
  "mcpServers": {
    "perplexity-webui-scraper": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/perplexity-webui-scraper",
        "run",
        "perplexity-webui-scraper-mcp"
      ],
      "env": {
        "PERPLEXITY_SESSION_TOKEN": "your_token_here"
      }
    }
  }
}

Available Tools

Each tool uses a specific AI model. Enable only the ones you need:

Tool	Model	Description	Tier
pplx_ask	Pro	Automatically selects the most responsive model based on the query	pro
pplx_deep_research	Deep research	Fast and thorough for routine research	pro
pplx_sonar	Sonar	Perplexity's latest model	pro
pplx_gemini_flash	Gemini 3 Flash	Google's fast model	pro
pplx_gemini_flash_think	Gemini 3 Flash Thinking	Google's fast model	pro
pplx_gemini31_pro	Gemini 3.1 Pro	Google's latest model	pro
pplx_gemini31_pro_think	Gemini 3.1 Pro Thinking	Google's latest model with thinking	pro
pplx_gpt52	GPT-5.2	OpenAI's latest model	pro
pplx_gpt52_thinking	GPT-5.2 Thinking	OpenAI's latest model with thinking	pro
pplx_claude_s46	Claude Sonnet 4.6	Anthropic's fast model	pro
pplx_claude_s46_think	Claude Sonnet 4.6 Thinking	Anthropic's newest reasoning model	pro
pplx_claude_o46	Claude Opus 4.6	Anthropic's most advanced model	max
pplx_claude_o46_think	Claude Opus 4.6 Thinking	Anthropic's Opus reasoning model with thinking	max
pplx_grok41	Grok 4.1	xAI's latest model	pro
pplx_grok41_think	Grok 4.1 Thinking	xAI's latest model	pro
pplx_kimi_k25_think	Kimi K2.5	Moonshot AI's latest model	pro

All tools support source_focus: web, academic, social, finance, all

Disclaimer

This is an unofficial library. It uses internal APIs that may change without notice. Use at your own risk.

By using this library, you agree to Perplexity AI's Terms of Service.