bulk-downloader-for-reddit | Downloads and archives content from reddit | Data Mining library
kandi X-RAY | bulk-downloader-for-reddit Summary
kandi X-RAY | bulk-downloader-for-reddit Summary
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.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- 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
bulk-downloader-for-reddit Key Features
bulk-downloader-for-reddit Examples and Code Snippets
Lines of Code : 39License : Strong Copyleft (GPL-3.0)
Copy# specify reddit threads to collect by url
redditUrls <- c("https://www.reddit.com/r/datascience/comments/g2k5zi/xxxx_xxxx_xxxxxxxxxx/",
"https://www.reddit.com/r/datascience/comments/g1suaz/xx_xxxx_xxx_xxxxxxx/")
# authentication 
License : No LicenseCopyNamespace(subreddit='pics')
??? 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
Downloadin 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 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
Trending Discussions on Data Mining
QUESTION
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.
...ANSWER
Answered 2022-Feb-21 at 19:57Though 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.
QUESTION
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.
...ANSWER
Answered 2022-Feb-09 at 22:08doc.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:
QUESTION
my code:
...ANSWER
Answered 2022-Jan-11 at 13:11Note: In new code use find_all() instead of old findAll() syntax - your html looks not valid
QUESTION
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.
...ANSWER
Answered 2022-Jan-10 at 08:27Code 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:
QUESTION
I have the following dataset
...ANSWER
Answered 2021-Nov-07 at 19:11You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:
QUESTION
So I have the following dataset :
...ANSWER
Answered 2021-Nov-06 at 11:46You can split your data frame like this:
QUESTION
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.
...ANSWER
Answered 2021-Nov-04 at 09:28It'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:
QUESTION
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?
...ANSWER
Answered 2021-Oct-08 at 00:07Changing 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).
QUESTION
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:
...ANSWER
Answered 2021-Oct-06 at 16:10We may use regex lookaround
QUESTION
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"
...ANSWER
Answered 2021-Aug-26 at 07:41to get the email id, use this :-
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bulk-downloader-for-reddit
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
