webtoolkit 0.0.119

Web tools and interfaces for Internet data processing.

webtoolkit

webtoolkit provides utilities and interfaces for processing and managing Internet data, including URL parsing, HTTP status handling, page type recognition (HTML, RSS, OPML), and support for integrating crawling systems.

Features

• URL parsing and cleaning
• HTTP status code classification
• Page abstraction interfaces (HtmlPage, RssPage, OpmlPage, etc.)
• Interfaces for integrating with crawling systems

Remote crawling is supported via crawler-buddy. Provides various crawlers and handlers using interfaces from this package.

Available on pypi.

Install by

pip install webtoolkit

Url parsing

Sanitize link and remove trackers:

link = UrlLocation.get_cleaned_link(link)

Extract domain name:

domain = UrlLocation(link).get_domain()

Parse link, returns parts of the link [TBD]. It should return .scheme .domain .location .args

location = UrlLocation(link)
parsed_data = location.parse_url()
link = location.join(parsed_data) - joins back parsed data into a link

Go up in link structure. First to parent location, then to domain, then to domain super.

location = UrlLocation(link).up()

UrlLocation(link).is_onion()

Page definitions

HTML pages

page = HtmlPage(url, contents)
page.get_title()
page.get_description()
page.get_lanugage()
page.get_date_published()
page.get_author()
page.get_feeds()

RSS pages

page = RssPage(url, contents)
page.get_title()
page.get_description()
page.get_lanugage()
page.get_date_published()
page.get_author()
page.get_entries()

OPML pages

page = OpmlPage(url, contents)
page.get_entries()

Content processing

Extracts links from contents

ContentLinkParser().get_links()

Check if contents if captcha protected

ContentInterface().is_captcha_protected()

Obtain text ready for display

ContentText(text).htmlify()  # returns text, where http links are turned into HTML links
ContentText(text).noattrs()  # removes HTML attributes

Status analysis. Note that from some status we cannot know if page is OK, or not.

is_status_code_valid(status_code)   # provides information if input status code indicates the page is OK
is_status_code_invalid(status_code) # provides information if input status code indicates the page is invalid

Url processing

Normally to obtain page contents you should just

url = BaseUrl("https://example.com")
url.get_title()
url.get_description()
url.get_lanugage()
url.get_date_published()
url.get_author()
url.get_feeds()
url.get_entries()

response = url.get_response()

It supports many different page types automatically. You can request youtube pages, github, etc.

Standard interfaces

Two standard interfaces

• CrawlerInterface - Standard interface for crawler implementations
• HandlerInterface - Allows implementing custom handlers for different use cases

Crawlers are different means of obtaining Internet data. Examples: requests, selenium, playwright, httpx, curlcffi. This package does not provide them, to make it more clean and neat.

Handlers are classes that allows automatic deduction of links, places, video codes from links, or data. Examples: youtube handler can use yt-dlp to obtain channel video list, or obtain channel ID, etc.

Default User agents

webtoolkit.get_default_user_agent()

Default User headers

webtoolkit.get_default_headers()

HTTP processing - requests

Request HTTP object allows to make HTTP call.

request = PageRequestObject()

To send request to any scraping / crawling server just encode it to GET params

url_data = request_encode(request)

json_data = request_to_json(request)  # json
request = json_to_request(json_data)  # json

HTTP processing - response

Check for valid HTTP responses:

PageResponseObject().is_valid()

Check for invalid HTTP responses:

PageResponseObject().is_invalid()

To check if response is captcha protected

PageResponseObject().is_captcha_protected()

Note: Some status codes may indicate uncertain results (e.g. throttling), where the page cannot be confirmed as valid or invalid yet.

Response communication is done via JSON

json_data = response_to_json(response)
response = json_to_response(json_data)

To obtain page contents object:

page = PageResponseObject().get_page()   # returns type of page, be it HtmlPage, RssPage, etc.

Remote interfaces

You can use existing scraping servers.

• RemoteUrl - Wrapper around RemoteServer for easy access to remote data. Provides API similar to BaseUrl.
• RemoteServer - Interface for calling external crawling systems

url = RemoteUrl("http://192.168.0.168...")
url.get_title()
url.get_description()
url.get_lanugage()
url.get_date_published()
url.get_author()
url.get_feeds()
url.get_entries()

response = url.get_response()

The communication between client and server should be through JSON requests and responses.

Testing

webtoolkit provides data and facilities that will aid you in testing.

You can use them in your project:

• FakeResponse
• MockUrl

Project also provides manual tests that check if project works

make tests