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scrapling-official

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Features

  • ✓Adaptive crawling for dynamic websites
  • ✓Integrated request handling and full-scale crawling
  • ✓User-friendly API for easy integration
  • ✓Robust error handling and retries
  • ✓Comprehensive documentation and examples
  • ✓Visit the GitHub repo for more tools

Installation Guide

Let's give you a quick glimpse of what Scrapling can do without deep diving.

Basic Usage


HTTP requests with session support
python
from scrapling.fetchers import Fetcher, FetcherSession

with FetcherSession(impersonate='chrome') as session:  # Use latest version of Chrome's TLS fingerprint
    page = session.get('https://quotes.toscrape.com/', stealthy_headers=True)
    quotes = page.css('.quote .text::text').getall()

# Or use one-off requests
page = Fetcher.get('https://quotes.toscrape.com/')
quotes = page.css('.quote .text::text').getall()

Advanced stealth mode
python
from scrapling.fetchers import StealthyFetcher, StealthySession

with StealthySession(headless=True, solve_cloudflare=True) as session:  # Keep the browser open until you finish
    page = session.fetch('https://nopecha.com/demo/cloudflare', google_search=False)
    data = page.css('#padded_content a').getall()

# Or use one-off request style, it opens the browser for this request, then closes it after finishing
page = StealthyFetcher.fetch('https://nopecha.com/demo/cloudflare')
data = page.css('#padded_content a').getall()

Full browser automation
python
from scrapling.fetchers import DynamicFetcher, DynamicSession

with DynamicSession(headless=True, disable_resources=False, network_idle=True) as session:  # Keep the browser open until you finish
    page = session.fetch('https://quotes.toscrape.com/', load_dom=False)
    data = page.xpath('//span[@class="text"]/text()').getall()  # XPath selector if you prefer it

# Or use one-off request style, it opens the browser for this request, then closes it after finishing
page = DynamicFetcher.fetch('https://quotes.toscrape.com/')
data = page.css('.quote .text::text').getall()

Spiders


Build full crawlers with concurrent requests, multiple session types, and pause/resume:
python
from scrapling.spiders import Spider, Request, Response

class QuotesSpider(Spider):
    name = "quotes"
    start_urls = ["https://quotes.toscrape.com/"]
    concurrent_requests = 10
    
    async def parse(self, response: Response):
        for quote in response.css('.quote'):
            yield {
                "text": quote.css('.text::text').get(),
                "author": quote.css('.author::text').get(),
            }
            
        next_page = response.css('.next a')
        if next_page:
            yield response.follow(next_page[0].attrib['href'])

result = QuotesSpider().start()
print(f"Scraped {len(result.items)} quotes")
result.items.to_json("quotes.json")

Use multiple session types in a single spider:
python
from scrapling.spiders import Spider, Request, Response
from scrapling.fetchers import FetcherSession, AsyncStealthySession

class MultiSessionSpider(Spider):
    name = "multi"
    start_urls = ["https://example.com/"]
    
    def configure_sessions(self, manager):
        manager.add("fast", FetcherSession(impersonate="chrome"))
        manager.add("stealth", AsyncStealthySession(headless=True), lazy=True)
    
    async def parse(self, response: Response):
        for link in response.css('a::attr(href)').getall():
            # Route protected pages through the stealth session
            if "protected" in link:
                yield Request(link, sid="stealth")
            else:
                yield Request(link, sid="fast", callback=self.parse)  # explicit callback

Pause and resume long crawls with checkpoints by running the spider like this:
python
QuotesSpider(crawldir="./crawl_data").start()

Press Ctrl+C to pause gracefully - progress is saved automatically. Later, when you start the spider again, pass the same crawldir, and it will resume from where it stopped.

Or skip writing the crawling logic altogether with the ready-made templates, like pulling an entire Shopify store's catalog:

python
from scrapling.spiders import ShopifySpider

class MyStore(ShopifySpider):
    target_website = "example.com"

result = MyStore().start()  # Every product in the store, one item per variant

Advanced Parsing & Navigation


python
from scrapling.fetchers import Fetcher

# Rich element selection and navigation
page = Fetcher.get('https://quotes.toscrape.com/')

# Get quotes with multiple selection methods
quotes = page.css('.quote')  # CSS selector
quotes = page.xpath('//div[@class="quote"]')  # XPath
quotes = page.find_all('div', {'class': 'quote'})  # BeautifulSoup-style
# Same as
quotes = page.find_all('div', class_='quote')
quotes = page.find_all(['div'], class_='quote')
quotes = page.find_all(class_='quote')  # and so on...
# Find element by text content
quotes = page.find_by_text('quote', tag='div')

# Advanced navigation
quote_text = page.css('.quote')[0].css('.text::text').get()
quote_text = page.css('.quote').css('.text::text').getall()  # Chained selectors
first_quote = page.css('.quote')[0]
author = first_quote.next_sibling.css('.author::text')
parent_container = first_quote.parent

# Element relationships and similarity
similar_elements = first_quote.find_similar()
below_elements = first_quote.below_elements()

You can use the parser right away if you don't want to fetch websites like below:
python
from scrapling.parser import Selector

page = Selector("<html>...</html>")

And it works precisely the same way!

Async Session Management Examples


python
import asyncio
from scrapling.fetchers import FetcherSession, AsyncStealthySession, AsyncDynamicSession

async with FetcherSession(http3=True) as session:  # `FetcherSession` is context-aware and can work in both sync/async patterns
    page1 = session.get('https://quotes.toscrape.com/')
    page2 = session.get('https://quotes.toscrape.com/', impersonate='firefox135')

# Async session usage
async with AsyncStealthySession(max_pages=2) as session:
    tasks = []
    urls = ['https://example.com/page1', 'https://example.com/page2']
    
    for url in urls:
        task = session.fetch(url)
        tasks.append(task)
    
    print(session.get_pool_stats())  # Optional - The status of the browser tabs pool (busy/free/error)
    results = await asyncio.gather(*tasks)
    print(session.get_pool_stats())

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