memorious | Lightweight web scraping toolkit for documents | Scraper library

 by   alephdata Python Version: 2.6.4 License: MIT

kandi X-RAY | memorious Summary

kandi X-RAY | memorious Summary

memorious is a Python library typically used in Automation, Scraper applications. memorious has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install memorious' or download it from GitHub, PyPI.

Lightweight web scraping toolkit for documents and structured data.

            kandi-support Support

              memorious has a low active ecosystem.
              It has 290 star(s) with 54 fork(s). There are 16 watchers for this library.
              There were 3 major release(s) in the last 6 months.
              There are 13 open issues and 70 have been closed. On average issues are closed in 287 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of memorious is 2.6.4

            kandi-Quality Quality

              memorious has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              memorious 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

              memorious 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed memorious and discovered the below as its top functions. This is intended to give you an instant insight into memorious implemented functionality, and help decide if they suit your requirements.
            • Emit an entity
            • Emit an event to the crawler
            • Return the aleph_cid for the collection
            • Return an instance of AlephAPI
            • Fetches FTP via ftp
            • Store a file in the storage
            • Store data in file
            • Enforces the rate limit
            • Remove all data from a crawler
            • Determines if incremental criteria should be skipped
            • Run a crawler
            • Clean HTML document
            • Return a list of all the runs in the crawler
            • Mark document as processed
            • Store entities
            • Load ALeph dataset
            • Return the last - Modified timestamp of the request
            • If value is an integer
            • If value matches q
            • Index webDA server
            • Print status of a crawler
            • Get the response
            • Create a folder
            • Extract a tar archive
            • Logs the user
            • Crawl and extract structured data
            Get all kandi verified functions for this library.

            memorious Key Features

            No Key Features are available at this moment for memorious.

            memorious Examples and Code Snippets

            No Code Snippets are available at this moment for memorious.

            Community Discussions


            Microk8s dashboard using nginx-ingress via http not working (Error: `no matches for kind "Ingress" in version "extensions/v1beta1"`)
            Asked 2022-Apr-01 at 07:26

            I have microk8s v1.22.2 running on Ubuntu 20.04.3 LTS.

            Output from /etc/hosts:



            Answered 2021-Oct-10 at 18:29
            error: unable to recognize "ingress.yaml": no matches for kind "Ingress" in version "extensions/v1beta1"



            kubernetes dashboard (web ui) has nothing to display
            Asked 2022-Mar-28 at 13:46

            After I deployed the webui (k8s dashboard), I logined to the dashboard but nothing found there, instead a list of errors in notification.



            Answered 2021-Aug-24 at 14:00

            I have recreated the situation according to the attached tutorial and it works for me. Make sure, that you are trying properly login:

            To protect your cluster data, Dashboard deploys with a minimal RBAC configuration by default. Currently, Dashboard only supports logging in with a Bearer Token. To create a token for this demo, you can follow our guide on creating a sample user.

            Warning: The sample user created in the tutorial will have administrative privileges and is for educational purposes only.

            You can also create admin role:



            Python Selenium AWS Lambda Change WebGL Vendor/Renderer For Undetectable Headless Scraper
            Asked 2022-Mar-21 at 20:19

            Using AWS Lambda functions with Python and Selenium, I want to create a undetectable headless chrome scraper by passing a headless chrome test. I check the undetectability of my headless scraper by opening up the test and taking a screenshot. I ran this test on a Local IDE and on a Lambda server.


            I will be using a python library called selenium-stealth and will follow their basic configuration:



            Answered 2021-Dec-18 at 02:01

            WebGL is a cross-platform, open web standard for a low-level 3D graphics API based on OpenGL ES, exposed to ECMAScript via the HTML5 Canvas element. WebGL at it's core is a Shader-based API using GLSL, with constructs that are semantically similar to those of the underlying OpenGL ES API. It follows the OpenGL ES specification, with some exceptions for the out of memory-managed languages such as JavaScript. WebGL 1.0 exposes the OpenGL ES 2.0 feature set; WebGL 2.0 exposes the OpenGL ES 3.0 API.

            Now, with the availability of Selenium Stealth building of Undetectable Scraper using Selenium driven ChromeDriver initiated google-chrome Browsing Context have become much more easier.


            selenium-stealth is a python package selenium-stealth to prevent detection. This programme tries to make python selenium more stealthy. However, as of now selenium-stealth only support Selenium Chrome.

            • Code Block:



            Enable use of images from the local library on Kubernetes
            Asked 2022-Mar-20 at 13:23

            I'm following a tutorial,

            currently, I have the right image



            Answered 2022-Mar-16 at 08:10

            If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

            Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:



            How do i loop through divs using jsoup
            Asked 2022-Feb-15 at 17:19

            Hi guys I'm using jsoup in a java webapplication on IntelliJ. I'm trying to scrape data of port call events from a shiptracking website and store the data in a mySQL database.

            The data for the events is organised in divs with the class name table-group and the values are in another div with the class name table-row.
            My problem is the divs rows for all the vessel are all the same class name and im trying to loop through each row and push the data to a database. So far i have managed to create a java class to scrape the first row.
            How can i loop through each row and store those values to my database. Should i create an array list to store the values?

            this is my scraper class



            Answered 2022-Feb-15 at 17:19

            You can start with looping over the table's rows: the selector for the table is .cs-table so you can get the table with Element table =".cs-table").first();. Next you can get the table's rows with the selector div.table-row - Elements rows ="div.table-row"); now you can loop over all the rows and extract the data from each row. The code should look like:



            chrome extension: Uncaught TypeError: Cannot read properties of undefined (reading 'onClicked')
            Asked 2022-Jan-25 at 09:51

            I have been creating a chrome extension that should run a certain script(index.js) on a particular tab on extension click.




            Answered 2022-Jan-25 at 05:00

            Manifest v2

            The following keys must be declared in the manifest to use this API.


            check this link for more details


            Update 1 :

            Manifest v3

            you need to add actions inside your manifest file



            How to merge data from object A into object B in Python?
            Asked 2022-Jan-17 at 10:09

            I'm trying to figure out if there's a procedural way to merge data from object A to object B without manually setting it up.

            For example, I have the following pydantic model which represents results of an API call to The Movie Database:



            Answered 2022-Jan-17 at 08:23

            use the attrs package.



            Using pod Anti Affinity to force only 1 pod per node
            Asked 2022-Jan-01 at 12:50

            I am trying to get my deployment to only deploy replicas to nodes that aren't running rabbitmq (this is working) and also doesn't already have the pod I am deploying (not working).

            I can't seem to get this to work. For example, if I have 3 nodes (2 with label of then all 2 replicas get deployed to the remaining node. It is like the deployments aren't taking into account their own pods it creates in determining anti-affinity. My desired state is for it to only deploy 1 pod and the other one should not get scheduled.



            Answered 2022-Jan-01 at 12:50

            I think Thats because of the matchExpressions part of your manifest , where it requires pods need to have both the labels rabbitmq and app: testscraper to satisfy the antiaffinity rule.

            Based on deployment yaml you have provided , these pods will have only app: testscraper but NOT rabbitmq hence both the replicas are getting scheduled on same node

            from Documentation (The requirements are ANDed.):



            Unable to connect to the server: dial tcp [::1]:8080: connectex: No connection could be made because the target machine actively refused it. -Microk8s
            Asked 2021-Dec-27 at 08:21

            When i do this command kubectl get pods --all-namespaces I get this Unable to connect to the server: dial tcp [::1]:8080: connectex: No connection could be made because the target machine actively refused it.

            All of my pods are running and ready 1/1, but when I use this microk8s kubectl get service -n kube-system I get



            Answered 2021-Dec-27 at 08:21

            Posting answer from comments for better visibility: Problem solved by reinstalling multipass and microk8s. Now it works.



            Reading Excel file Using PySpark: Failed to find data source: com.crealytics.spark.excel
            Asked 2021-Dec-26 at 06:00

            I'm trying to read an excel file with spark using jupyter in vscode,with java version of 1.8.0_311 (Oracle Corporation), and scala version of version 2.12.15.

            Here is the code below:



            Answered 2021-Dec-24 at 12:11

            Check your Classpath: you must have the Jar containing com.crealytics.spark.excel in it.

            With Spark, the architecture is a bit different than traditional applications. You may need to have the Jar at different location: in your application, at the master level, and/or worker level. Ingestion (what you’re doing) is done by the worker, so make sure they have this Jar in their classpath.


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


            No vulnerabilities reported

            Install memorious

            You can install using 'pip install memorious' or download it from GitHub, PyPI.
            You can use memorious 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 .
            Find more information at:

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          • PyPI

            pip install memorious

          • CLONE
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          • CLI

            gh repo clone alephdata/memorious

          • sshUrl


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