bulk-downloader-for-reddit | Downloads and archives content from reddit | Data Mining library

 by   aliparlakci Python Version: v2.6.2 License: GPL-3.0

kandi X-RAY | bulk-downloader-for-reddit Summary

kandi X-RAY | bulk-downloader-for-reddit Summary

bulk-downloader-for-reddit is a Python library typically used in Data Processing, Data Mining applications. bulk-downloader-for-reddit has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However bulk-downloader-for-reddit build file is not available. You can install using 'pip install bulk-downloader-for-reddit' or download it from GitHub, PyPI.

This is a tool to download submissions or submission data from Reddit. It can be used to archive data or even crawl Reddit to gather research data. The BDFR is flexible and can be used in scripts if needed through an extensive command-line interface. List of currently supported sources. If you wish to open an issue, please read the guide on opening issues to ensure that your issue is clear and contains everything it needs to for the developers to investigate.

            kandi-support Support

              bulk-downloader-for-reddit has a medium active ecosystem.
              It has 1937 star(s) with 200 fork(s). There are 31 watchers for this library.
              It had no major release in the last 12 months.
              There are 60 open issues and 336 have been closed. On average issues are closed in 10 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bulk-downloader-for-reddit is v2.6.2

            kandi-Quality Quality

              bulk-downloader-for-reddit has 0 bugs and 0 code smells.

            kandi-Security Security

              bulk-downloader-for-reddit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bulk-downloader-for-reddit code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bulk-downloader-for-reddit is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              bulk-downloader-for-reddit releases are available to install and integrate.
              Deployable package is available in PyPI.
              bulk-downloader-for-reddit has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              bulk-downloader-for-reddit saves you 899 person hours of effort in developing the same functionality from scratch.
              It has 3500 lines of code, 258 functions and 58 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bulk-downloader-for-reddit and discovered the below as its top functions. This is intended to give you an instant insight into bulk-downloader-for-reddit implemented functionality, and help decide if they suit your requirements.
            • Return downloader based on url
            • Check if url is a web resource
            • Sanitise a URL
            • Retrieve a new token
            • Receive a connection
            • Get link from URL
            • Retrieve a URL
            • Download subreddits
            • Configure logging
            • Parse a YAML options file
            • Process CLI arguments
            • Clone Reddit
            • Write an entry to disk
            • Return anArchiveEntry for the given item
            • Download submissions
            • Download a reddit archive
            • Gets submissions from the link
            • Return whether the URL can handle the link
            • Get video data
            • Extract video attributes
            • Compile post
            • Converts a comment to a dictionary
            • Get post details
            • Return a list of comments for this submission
            Get all kandi verified functions for this library.

            bulk-downloader-for-reddit Key Features

            No Key Features are available at this moment for bulk-downloader-for-reddit.

            bulk-downloader-for-reddit Examples and Code Snippets

            Reddit Examples
            Rdot img1Lines of Code : 39dot img1License : Strong Copyleft (GPL-3.0)
            copy iconCopy
            # specify reddit threads to collect by url
            redditUrls <- c("https://www.reddit.com/r/datascience/comments/g2k5zi/xxxx_xxxx_xxxxxxxxxx/",
            # authentication  
            Reddit Media Downloader
            Pythondot img2Lines of Code : 38dot img2no licencesLicense : No License
            copy iconCopy
            ??? downloads/pics ????????
            Downloading imgur http://i.imgur.com/GJYYNle.jpg
            ...100%, 0 MB, 253 KB/s, 1 seconds passed
            Downloading imgur https://i.imgur.com/Fo7a18f.jpg
            ...101%, 0 MB, 118 KB/s, 1 seconds passed
            Example 3 - Bulk downloads
            PHPdot img3Lines of Code : 28dot img3License : Permissive (MIT)
            copy iconCopy
            login($mail, $pass)) {
                    // iterate over all connected domains
                    $sites = $gwtCrawlErrors->getSites();
                    foreach($sites as $domain) {
                        // use an absolute path without trailing slash as
                        // a second parameter  
            pytorch_geometric - reddit
            Pythondot img4Lines of Code : 84dot img4License : Permissive (MIT License)
            copy iconCopy
            import copy
            import os.path as osp
            import torch
            import torch.nn.functional as F
            from tqdm import tqdm
            from torch_geometric.datasets import Reddit
            from torch_geometric.loader import NeighborLoader
            from torch_geometric.nn import SAGEConv
            device = tor  

            Community Discussions


            different tree for the same data set
            Asked 2022-Feb-21 at 19:57

            I am working on Pima Indians Diabetes Database in Weka. I noticed that for decision tree J48 the tree is smaller as compared to the Random Tree. I am unable to understand why it is like this? Thank you.



            Answered 2022-Feb-21 at 19:57

            Though they both are decision trees, they employ different algorithms for constructing the tree, which will (most likely) give you a different outcome:

            • J48 prunes the tree by default after it built its tree (Wikipedia).
            • RandomTree (when using default parameters) inspects a maximum of log2(num_attributes) attributes for generating splits.

            Source https://stackoverflow.com/questions/71201615


            Remove duplicates from a tuple
            Asked 2022-Feb-09 at 23:43

            I tried to extract keywords from a text. By using "en_core_sci_lg" model, I got a tuple type of phrases/words with some duplicates which I tried to remove from it. I tried deduplicate function for list and tuple, I only got fail. Can anyone help? I really appreciate it.



            Answered 2022-Feb-09 at 22:08

            doc.ents is not a list of strings. It is a list of Span objects. When you print one, it prints its contents, but they are indeed individual objects, which is why set doesn't see they are duplicates. The clue to that is there are no quote marks in your print statement. If those were strings, you'd see quotation marks.

            You should try using doc.words instead of doc.ents. If that doesn't work for you, for some reason, you can do:

            Source https://stackoverflow.com/questions/71057313


            Can't get value of tag using BeautifulSoup
            Asked 2022-Jan-22 at 22:36

            my code:



            Answered 2022-Jan-11 at 13:11

            Note: In new code use find_all() instead of old findAll() syntax - your html looks not valid

            Source https://stackoverflow.com/questions/70666777


            The website has 9 pages and my code just add the last page elements to the list
            Asked 2022-Jan-12 at 01:42

            The website has 9 pages and my code just add the last page elements to the list. I want to add all elements for all pages next together in list.



            Answered 2022-Jan-10 at 08:27
            What happens?

            Code works well, but iterates to fast and elements your looking for are not present in the moment you try to find them.

            How to fix?

            Use selenium waits to check if elements are present in the DOM:

            Source https://stackoverflow.com/questions/70647571


            Compare two dataframes column values. Find which values are in one df and not the other
            Asked 2021-Nov-07 at 19:24

            I have the following dataset



            Answered 2021-Nov-07 at 19:11

            You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:

            Source https://stackoverflow.com/questions/69875643


            Pandas : Linear Regression apply standard scaler to some columns
            Asked 2021-Nov-06 at 11:48

            So I have the following dataset :



            Answered 2021-Nov-06 at 11:46

            You can split your data frame like this:

            Source https://stackoverflow.com/questions/69863485


            How can I use SVM classifier to detect outliers in percentage changes?
            Asked 2021-Nov-04 at 09:28

            I have a pandas dataframe that is in the following format:

            This contains the % change in stock prices each day for 3 companies MSFT, F and BAC.

            I would like to use a OneClassSVM calculator to detect whether the data is an outlier or not. I have tried the following code, which I believe detects the rows which contain outliers.



            Answered 2021-Nov-04 at 09:28

            It's not very clear what is delta and df in your code. I am assuming they are the same data frame.

            You can use the result from svm.predict , here we leave it as blank '' if not outlier:

            Source https://stackoverflow.com/questions/69836604


            How can I change the order of the attributes in Weka?
            Asked 2021-Oct-08 at 00:07

            I was doing a machine learning task in Weka and the dataset has 486 attributes. So, I wanted to do attribute selection using chi-square and it provides me ranked attributes like below:

            Now, I also have a testing dataset and I have to make it compatible. But how can I reorder the test attributes in the same manner that can be compatible with the train set?



            Answered 2021-Oct-08 at 00:07

            Changing the order of attributes (e.g., when using the Ranker in conjunction with an attribute evaluator) will probably not have much influence on the performance of your classifier model (since all the attributes will stay in the dataset). Removing attributes, on the other hand, will more likely have an impact (for that, use subset evaluators).

            If you want the ordering to get applied to the test set as well, then simply define your attribute selection search and evaluation schemes in the AttributeSelectedClassifier meta-classifier, instead of using the Attribute selection panel (that panel is more for exploration).

            Source https://stackoverflow.com/questions/69488957


            how to split a piece text by a word in R?( break the text after a specific word)
            Asked 2021-Oct-06 at 16:10

            I need to split pdf files into their chapters. In each pdf, at the beginning of every chapter, I added the word "Hirfar" for which to look and split the text. Consider the following example:



            Answered 2021-Oct-06 at 16:10

            We may use regex lookaround

            Source https://stackoverflow.com/questions/69469109


            How to locate an element within bad html python selenium
            Asked 2021-Aug-26 at 07:41

            I want to scrape the Athletic Director's information from this page. but the issue is that there is a strong tag that refers to the name and email of every person on the page. I only want an XPath that specifically extracts the exact name and email of the Athletic Director. Here is the link to the website for a better understanding of the code. "https://fhsaa.com/sports/2020/1/28/member_directory.aspx"



            Answered 2021-Aug-26 at 07:41

            to get the email id, use this :-

            Source https://stackoverflow.com/questions/68928190

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


            No vulnerabilities reported

            Install bulk-downloader-for-reddit

            Bulk Downloader for Reddit needs Python version 3.9 or above. Please update Python before installation to meet the requirement. Then, you can install it as such:. To update BDFR, run the above command again after the installation.


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