crawlkit 0.1.0

Official Python SDK for CrawlKit — Web + Video Intelligence API for AI

CrawlKit Python SDK

Official Python SDK for CrawlKit — Web + Video Intelligence API for AI.

Installation

pip install crawlkit

Quick Start

from crawlkit import CrawlKit

# Initialize client
ck = CrawlKit(api_key="ck_free_xxx")

# Scrape a webpage
result = ck.scrape("https://vnexpress.net/thoi-su")
print(result.title)
print(result.content[:200])

# Scrape YouTube video transcript
video = ck.scrape("https://youtu.be/-Td-D-vKJDg")
print(video.content)  # Full transcript

# Batch scrape multiple URLs
results = ck.batch([
    "https://vnexpress.net",
    "https://cafef.vn",
])

for result in results:
    print(f"{result.title}: {len(result.content)} chars")

Async Support

import asyncio
from crawlkit import AsyncCrawlKit

async def main():
    async with AsyncCrawlKit(api_key="ck_free_xxx") as ck:
        result = await ck.scrape("https://example.com")
        print(result.title)

asyncio.run(main())

Features

• 🚀 Simple & Fast — Clean API with sync and async support
• 🎥 Video Intelligence — Extract transcripts from YouTube videos
• 📄 Smart Parsing — Automatic content extraction from any webpage
• 🔄 Batch Processing — Scrape multiple URLs efficiently
• 🔗 Link Discovery — Find related links on any page
• 💪 Type Safe — Full type hints support
• 🛡️ Error Handling — Automatic retries and custom exceptions

API Reference

CrawlKit(api_key, base_url=...)

Main client class.

Methods:

scrape(url, chunk=False, chunk_size=1000, parser=None)

Scrape a single URL.

Parameters:

• url (str): URL to scrape
• chunk (bool): Split content into chunks
• chunk_size (int): Size of each chunk
• parser (str): Specific parser to use

Returns: ScrapeResult

batch(urls, chunk=False, chunk_size=1000)

Scrape multiple URLs in one request.

Parameters:

• urls (list[str]): List of URLs to scrape
• chunk (bool): Split content into chunks
• chunk_size (int): Size of each chunk

Returns: list[ScrapeResult]

discover(url, limit=20)

Discover links from a page.

Parameters:

• url (str): URL to discover links from
• limit (int): Maximum number of links

Returns: list[str]

health()

Check API health status.

Returns: dict

parsers()

List available parsers.

Returns: list[ParserInfo]

usage()

Get your API usage statistics.

Returns: UsageStats

Examples

Chunked Content

result = ck.scrape(
    "https://en.wikipedia.org/wiki/Python",
    chunk=True,
    chunk_size=500
)

for i, chunk in enumerate(result.chunks):
    print(f"Chunk {i+1}: {chunk[:50]}...")

Error Handling

from crawlkit import CrawlKit, RateLimitError, AuthenticationError

try:
    result = ck.scrape("https://example.com")
except RateLimitError as e:
    print(f"Rate limited! Retry after {e.retry_after}s")
except AuthenticationError:
    print("Invalid API key")

Context Manager

with CrawlKit(api_key="ck_free_xxx") as ck:
    result = ck.scrape("https://example.com")
    # Client automatically closes

Get an API Key

1. Visit crawlkit.vercel.app
2. Sign up for a free account
3. Get your API key from the dashboard

Free tier includes:

• 100 requests/day
• Web scraping
• Video transcripts
• All parsers

License

MIT License - see LICENSE file for details.

Links

• 🌐 Website
• 📚 Documentation
• 🐛 Issues
• 💬 Support