geziyorvsscrapydweb
Geziyor is a blazing fast web crawling and web scraping framework. It can be used to crawl websites and extract structured data from them. Geziyor is useful for a wide range of purposes such as data mining, monitoring and automated testing.
Features:
- JS Rendering
- 5.000+ Requests/Sec
- Caching (Memory/Disk/LevelDB)
- Automatic Data Exporting (JSON, CSV, or custom)
- Metrics (Prometheus, Expvar, or custom)
- Limit Concurrency (Global/Per Domain)
- Request Delays (Constant/Randomized)
- Cookies, Middlewares, robots.txt
- Automatic response decoding to UTF-8
- Proxy management (Single, Round-Robin, Custom)
ScrapydWeb is a web-based management tool for the Scrapyd service. It is built using the Python Flask framework and allows you to easily manage and monitor your Scrapy spider projects through a web interface.
ScrapydWeb allows you to view the status of your running spiders, view the logs of completed spiders, schedule new spider runs, and manage spider settings and configurations.
ScrapydWeb provides a simple way to manage your scraping tasks and allows you to schedule and run multiple spiders simultaneously. It also provides a user-friendly web interface that makes it easy to view the status of your spiders and monitor their progress.
You can install the package via pip by running pip install scrapydweb and then you can run the package by
running scrapydweb command in your command prompt.
It will start a web server that you can access through your web browser at http://localhost:6800/
You will need to have Scrapyd running in order to use ScrapydWeb,
Scrapyd is a service for running Scrapy spiders, it allows you to schedule spiders to run at regular intervals
and also allows you to run spiders on remote machines.
Example Use
// This example extracts all quotes from quotes.toscrape.com and exports to JSON file.
func main() {
geziyor.NewGeziyor(&geziyor.Options{
StartURLs: []string{"http://quotes.toscrape.com/"},
ParseFunc: quotesParse,
Exporters: []export.Exporter{&export.JSON{}},
}).Start()
}
func quotesParse(g *geziyor.Geziyor, r *client.Response) {
r.HTMLDoc.Find("div.quote").Each(func(i int, s *goquery.Selection) {
g.Exports <- map[string]interface{}{
"text": s.Find("span.text").Text(),
"author": s.Find("small.author").Text(),
}
})
if href, ok := r.HTMLDoc.Find("li.next > a").Attr("href"); ok {
g.Get(r.JoinURL(href), quotesParse)
}
}