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scrapydwebvscrwlr-crawler

GNU General Public License v3.0 59 1 2,983
1.6 thousand (month) Sep 30 2018 1.5.0(a month ago)
298 2 2 MIT
v1.7.2(17 days ago) Apr 18 2022 12 (month)

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.

This library provides kind of a framework and a lot of ready to use, so-called steps, that you can use as building blocks, to build your own crawlers and scrapers with.

Some features: - Crawler Politeness innocent (respecting robots.txt, throttling,...) - Load URLs using - a (PSR-18) HTTP client (default is of course Guzzle) - or a headless browser (chrome) to get source after Javascript execution - Get absolute links from HTML documents link - Get sitemaps from robots.txt and get all URLs from those sitemaps - Crawl (load) all pages of a website spider - Use cookies (or don't) cookie - Use any HTTP methods (GET, POST,...) and send any headers or body - Iterate over paginated list pages repeat - Extract data from: - HTML and also XML (using CSS selectors or XPath queries) - JSON (using dot notation) - CSV (map columns) - Extract schema.org structured data in JSON-LD format from HTML documents - Keep memory usage low by using PHP Generators muscle - Cache HTTP responses during development, so you don't have to load pages again and again after every code change - Get logs about what your crawler is doing (accepts any PSR-3 LoggerInterface)

Example Use


<?php
require_once 'vendor/autoload.php';

use Crwlr\Crawler;

$crawler = new Crawler();
$crawler->get('https://example.com', ['User-Agent' => 'webscraping.fyi']);


// more links can be followed:
$crawler->followLinks();

// and current page can be parsed:
$response = $crawler->response();
$title = $crawler->filter('title')->text();
echo $response->getContent();
```

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