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scraplingvsgocrawl

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397.4 thousand (month) Aug 01 2024 0.4.5(2026-04-07 04:22:27 ago)
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Nov 20 2016 58.1 thousand (month) (2021-05-19 15:14:49 ago)

Scrapling is an adaptive web scraping framework for Python that introduces "self-healing" selectors — selectors that can track and find elements even when the website's DOM structure changes. This solves one of the biggest maintenance headaches in web scraping: broken selectors after website updates.

Key features include:

  • Self-healing selectors Scrapling uses smart element matching that can identify target elements even after the page structure changes. It builds a fingerprint of the element based on multiple attributes (text, position, siblings, attributes) and uses fuzzy matching to relocate it.
  • Multiple parsing backends Supports different parsing engines including lxml (fast) and a custom engine, allowing you to choose the right balance of speed and features.
  • Scrapy-like Spider API Provides a familiar Spider class pattern for organizing crawling logic, similar to Scrapy but with the added benefit of adaptive selectors.
  • CSS and XPath selectors Full support for CSS selectors and XPath, plus the adaptive matching system on top.
  • Type hints and modern Python Built with full type annotations and 92% test coverage for reliability.
  • Async support Supports asynchronous crawling for efficient concurrent scraping.

Scrapling gained massive traction in 2025 as one of the most starred new Python scraping libraries. It is particularly useful for scraping targets that frequently update their HTML structure, where traditional selector-based scrapers would break.

Gocrawl is a polite, slim and concurrent web crawler library written in Go. It is designed to be simple and easy to use, while still providing a high degree of flexibility and control over the crawling process.

One of the key features of Gocrawl is its politeness, which means that it obeys the website's robots.txt file and respects the crawl-delay specified in the file. It also takes into account the website's last modified date, if any, to avoid recrawling the same page. This helps to reduce the load on the website and prevent any potential legal issues. Gocrawl is also highly concurrent, which allows it to efficiently crawl large numbers of pages in parallel. This helps to speed up the crawling process and reduce the time required to complete the task.

The library also offers a high degree of flexibility in customizing the crawling process. It allows you to specify custom callbacks and handlers for handling different types of pages, such as error pages, redirects, and so on. This allows you to handle and process the pages as per your requirement. Additionally, Gocrawl provides various functionalities such as support for cookies, user-agent, auto-detection of links, and auto-detection of sitemaps.

Highlights


css-selectorsxpathfastpopular

Example Use


```python from scrapling import Fetcher, StealthFetcher, PlayWrightFetcher # Simple fetching with adaptive parsing fetcher = Fetcher() page = fetcher.get("https://example.com/products") # CSS selectors work as expected products = page.css(".product-card") for product in products: name = product.css_first(".name").text() price = product.css_first(".price").text() print(f"{name}: {price}") # Adaptive selector - finds the element even if DOM changes # Uses element fingerprinting for resilient matching element = page.find("Product Title", auto_match=True) # Stealth fetching with anti-bot bypass stealth = StealthFetcher() page = stealth.get("https://protected-site.com") # Playwright-based fetching for JS-rendered pages pw = PlayWrightFetcher() page = pw.get("https://spa-example.com", headless=True) ```
```go // Only enqueue the root and paths beginning with an "a" var rxOk = regexp.MustCompile(`http://duckduckgo\.com(/a.*)?$`) // Create the Extender implementation, based on the gocrawl-provided DefaultExtender, // because we don't want/need to override all methods. type ExampleExtender struct { gocrawl.DefaultExtender // Will use the default implementation of all but Visit and Filter } // Override Visit for our need. func (x *ExampleExtender) Visit(ctx *gocrawl.URLContext, res *http.Response, doc *goquery.Document) (interface{}, bool) { // Use the goquery document or res.Body to manipulate the data // ... // Return nil and true - let gocrawl find the links return nil, true } // Override Filter for our need. func (x *ExampleExtender) Filter(ctx *gocrawl.URLContext, isVisited bool) bool { return !isVisited && rxOk.MatchString(ctx.NormalizedURL().String()) } func ExampleCrawl() { // Set custom options opts := gocrawl.NewOptions(new(ExampleExtender)) // should always set your robot name so that it looks for the most // specific rules possible in robots.txt. opts.RobotUserAgent = "Example" // and reflect that in the user-agent string used to make requests, // ideally with a link so site owners can contact you if there's an issue opts.UserAgent = "Mozilla/5.0 (compatible; Example/1.0; +http://example.com)" opts.CrawlDelay = 1 * time.Second opts.LogFlags = gocrawl.LogAll // Play nice with ddgo when running the test! opts.MaxVisits = 2 // Create crawler and start at root of duckduckgo c := gocrawl.NewCrawlerWithOptions(opts) c.Run("https://duckduckgo.com/") // Remove "x" before Output: to activate the example (will run on go test) // xOutput: voluntarily fail to see log output } ```

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