thordata-sdk 1.2.0

The Official Python SDK for Thordata - AI Data Infrastructure & Proxy Network.

Thordata Python SDK

The Official Python Client for Thordata APIs

Proxy Network • SERP API • Web Unlocker • Web Scraper API

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📖 Introduction

This SDK provides a robust, high-performance interface to Thordata's AI data infrastructure. It is designed for high-concurrency scraping, reliable proxy tunneling, and seamless data extraction.

Key Features:

• 🚀 Production Ready: Built on urllib3 connection pooling for low-latency proxy requests.
• ⚡ Async Support: Native aiohttp client for high-concurrency SERP/Universal scraping.
• 🛡️ Robust: Handles TLS-in-TLS tunneling, retries, and error parsing automatically.
• ✨ Developer Experience: Fully typed (mypy compatible) with intuitive IDE autocomplete.
• 🧩 Lazy Validation: Only validate credentials for the features you actually use.

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📦 Installation

pip install thordata-sdk

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🔐 Configuration

Set environment variables to avoid hardcoding credentials. You only need to set the variables for the features you use.

# [Required for SERP & Web Unlocker]
export THORDATA_SCRAPER_TOKEN="your_token_here"

# [Required for Proxy Network]
export THORDATA_RESIDENTIAL_USERNAME="your_username"
export THORDATA_RESIDENTIAL_PASSWORD="your_password"
export THORDATA_PROXY_HOST="vpnXXXX.pr.thordata.net"

# [Required for Task Management]
export THORDATA_PUBLIC_TOKEN="public_token"
export THORDATA_PUBLIC_KEY="public_key"

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🚀 Quick Start

1. SERP Search (Google/Bing/Yandex)

from thordata import ThordataClient, Engine

client = ThordataClient()  # Loads THORDATA_SCRAPER_TOKEN from env

# Simple Search
print("Searching...")
results = client.serp_search("latest AI trends", engine=Engine.GOOGLE_NEWS)

for news in results.get("news_results", [])[:3]:
    print(f"- {news['title']} ({news['source']})")

2. Universal Scrape (Web Unlocker)

Bypass Cloudflare/Akamai and render JavaScript automatically.

html = client.universal_scrape(
    url="https://example.com/protected-page",
    js_render=True,
    wait_for=".content-loaded",
    country="us"
)
print(f"Scraped {len(html)} bytes")

3. High-Performance Proxy

Use Thordata's residential IPs with automatic connection pooling.

from thordata import ProxyConfig, ProxyProduct

# Config is optional if env vars are set, but allows granular control
proxy = ProxyConfig(
    product=ProxyProduct.RESIDENTIAL,
    country="jp",
    city="tokyo",
    session_id="session-001",
    session_duration=10  # Sticky IP for 10 mins
)

# Use the client to make requests (Reuses TCP connections)
response = client.get("https://httpbin.org/ip", proxy_config=proxy)
print(response.json())

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⚙️ Advanced Usage

Async Client (High Concurrency)

For building AI agents or high-throughput spiders.

import asyncio
from thordata import AsyncThordataClient

async def main():
    async with AsyncThordataClient() as client:
        # Fire off multiple requests in parallel
        tasks = [
            client.serp_search(f"query {i}") 
            for i in range(5)
        ]
        results = await asyncio.gather(*tasks)
        print(f"Completed {len(results)} searches")

asyncio.run(main())

Web Scraper API (Task Management)

Create and manage large-scale scraping tasks asynchronously.

# 1. Create a task
task_id = client.create_scraper_task(
    file_name="daily_scrape",
    spider_id="universal",
    spider_name="universal",
    parameters={"url": "https://example.com"}
)

# 2. Wait for completion (Polling)
status = client.wait_for_task(task_id)

# 3. Get results
if status == "ready":
    url = client.get_task_result(task_id)
    print(f"Download Data: {url}")

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📄 License

MIT License. See LICENSE for details.