Skip to main content

Web tools and interfaces for Internet data processing.

Project description

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 processing

To obtain a Url’s data, you can simply do:

url = BaseUrl("https://example.com")

response = url.get_response()

url.get_title()
url.get_description()
url.get_lanugage()
url.get_date_published()
url.get_author()
url.get_feeds()
url.get_entries()

BaseUrl automatically detects and supports many different page types, including YouTube, GitHub, Reddit, and others.

Chain of data

url = BaseUrl("https://example.com")

response = url.get_response()
handler = url.get_handler()
page = handler.get_page()

Page definitions

BaseUrl supports various page types through different classes

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()

Url location processing

Sanitize link and remove trackers:

link = UrlLocation.get_cleaned_link(link)

Extract domain name:

domain = UrlLocation(link).get_domain()

Parse and reconstruct links

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

Navigate up the URL structure Go up in the link hierarchy — first to the parent path, then to the domain, and finally to the domain root.

location = UrlLocation(link).up()
UrlLocation(link).is_onion()

Content processing

Internet contents can be parsed in various ways.

Extracts links from contents

ContentLinkParser(contents).get_links()

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

HTTP processing - requests

Communication is performed via request - response pairs.

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.

To obtain page structure from response, simply

PageResponseObject().get_page()   # can return HtmlPage, RssPage, etc.

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.
url = RemoteUrl("http://192.168.0.168...")
response = url.get_response()

url.get_title()
url.get_description()
url.get_lanugage()
url.get_date_published()
url.get_author()
url.get_feeds()
url.get_entries()

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

Other classes

  • RemoteServer - Interface for calling external crawling systems

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()

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
make tests-unit # run unit tests
make tests-real # tests performed on real internet data

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

webtoolkit-0.0.127.tar.gz (387.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

webtoolkit-0.0.127-py3-none-any.whl (403.8 kB view details)

Uploaded Python 3

File details

Details for the file webtoolkit-0.0.127.tar.gz.

File metadata

  • Download URL: webtoolkit-0.0.127.tar.gz
  • Upload date:
  • Size: 387.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.3 Linux/6.8.0-86-generic

File hashes

Hashes for webtoolkit-0.0.127.tar.gz
Algorithm Hash digest
SHA256 778a9f1610462dcde2bd6c0de3bb6e4ea5edd9d91d83d265872991243176c8e0
MD5 334a4e8fcbf7704b2648fd937d1ba6c0
BLAKE2b-256 9fedaa6150a48cd7d6126cb97dee71b50d983991601fea34b6753133814b9450

See more details on using hashes here.

File details

Details for the file webtoolkit-0.0.127-py3-none-any.whl.

File metadata

  • Download URL: webtoolkit-0.0.127-py3-none-any.whl
  • Upload date:
  • Size: 403.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.3 Linux/6.8.0-86-generic

File hashes

Hashes for webtoolkit-0.0.127-py3-none-any.whl
Algorithm Hash digest
SHA256 cc881e95e51e09e1f62e994fd29293c532f5deaaf2b0fd0e379ffb5780513656
MD5 1f67b9990ba1e653e3ea490cf94df77e
BLAKE2b-256 c7b38389fa5120903682fd71276686850b27ff56abf09f572078d7960ab4c961

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page