advertools | advertools - online marketing productivity and analysis tools | Search Engine Optimization library

 by   eliasdabbas Python Version: 0.9.1 License: MIT

kandi X-RAY | advertools Summary

kandi X-RAY | advertools Summary

advertools is a Python library typically used in Search Engine Optimization applications. advertools has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install advertools' or download it from GitHub, PyPI.

advertools - online marketing productivity and analysis tools

            kandi-support Support

              advertools has a medium active ecosystem.
              It has 817 star(s) with 169 fork(s). There are 35 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 24 have been closed. On average issues are closed in 12 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of advertools is 0.9.1

            kandi-Quality Quality

              advertools has 0 bugs and 0 code smells.

            kandi-Security Security

              advertools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              advertools code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              advertools is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              advertools releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              advertools saves you 17425 person hours of effort in developing the same functionality from scratch.
              It has 46408 lines of code, 335 functions and 132 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed advertools and discovered the below as its top functions. This is intended to give you an instant insight into advertools implemented functionality, and help decide if they suit your requirements.
            • Search for videos
            • Convert JSON response to pandas dataframe
            • Create a product of a dictionary
            • Combine multiple requests
            • Parse the response into a dictionary
            • Extract links from a document
            • Extract counts from text_list
            • Crawl the given URLs
            • Splits a list of url_list
            • Extract numbers from a list
            • Reverse DNS lookup
            • List all channel sections
            • Get a list of items from a playlist
            • List activities from YouTube
            • Extracts a summary from a list of texts
            • Extract URLs from text_list
            • Get a paginated list of comments
            • Make a pandas dataframe
            • Get playlists list
            • List videos
            • Retrieve a list of subscriptions
            • Extractclamation marks from text_list
            • Extract emoji from given text list
            • Extract words from text_list
            • Extracts questions from a list of text
            • List all channels
            Get all kandi verified functions for this library.

            advertools Key Features

            No Key Features are available at this moment for advertools.

            advertools Examples and Code Snippets

            No Code Snippets are available at this moment for advertools.

            Community Discussions


            Web-scraping with Python to extract microdata for each page from a sitemap.xml
            Asked 2022-Feb-24 at 14:51

            I'm trying to extract name, brand, prices, stock microdata from pages extracted from sitemap.xml But I'm blocked with the following step, thank you for helping me as I'm a newbie I can't understand the blocking element

            • Scrape the sitemap.xml to have list of urls : OK
            • Extract the metadata : OK
            • Extract the product schema : OK
            • Extract the products not OK
            • Crawl the site and store the products not OK
            • Scrape the sitemap.xml to have list of urls : OK


            Answered 2022-Feb-24 at 14:51

            You can simply continue by using the advertools SEO crawler. It has a crawl function that also extracts structured data by default (JSON-LD, OpenGraph, and Twitter).

            I tried to crawl a sample of ten pages, and this what the output looks like:



            Indexnow protocol POST request with JSON on PYTHON
            Asked 2022-Feb-04 at 00:15

            I am trying to make a POST request for Indexnow protocol, which allows the user to send link massive to search engine (BING) for instant indexing. As I read all documentation, I found that this protocol suggests such JSON request construction:



            Answered 2022-Feb-03 at 11:59

            Go to the Post Requests Online

            1. Type your search engine URL

            2. Put your code in the window below in this format:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install advertools

            You can install using 'pip install advertools' or download it from GitHub, PyPI.
            You can use advertools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • PyPI

            pip install advertools

          • CLONE
          • HTTPS


          • CLI

            gh repo clone eliasdabbas/advertools

          • sshUrl


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