reddit-multimodal-crawler 1.3.1

A scraper which will scrape out multimedia data from reddit.

Reddit Multimodal Crawler

This is a wrapper to the PRAW package to scrape content from image in the form of csv, json, tsv, sql files.

This repository will help you scrape various subreddits, and will return to you multi-media attributes.

You can pip install this to integrate with some other application, or use it as an commandline application.

• PyPI Link: https://pypi.org/project/reddit-multimodal-crawler/

pip install reddit-multimodal-crawler

How to use the repository?

Before running the code, you should have registered with the Reddit API and create a sample project to run the code and obtain the client_id, client_secret and make a user_agent. Then pass them in the arguements.

Although, the easier way is to use the pip install reddit-multimodal-crawler.

Functionalities

This will help you scrape multiple subreddits just like PRAW but, will also return and save datasets for the same. Will scrape the posts and the comments as well.

Sample Code

import nltk
from reddit_multimodal_crawler.crawler import Crawler
import argparse

nltk.download("vader_lexicon")

if __name__ == "__main__":

    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--subreddit_file_path",
        "A path to the file which contains the subreddits to scrape from.",
        type=str,
    )
    parser.add_argument(
        "--limit", "The limit to number of articles to scrape.", type=int
    )
    parser.add_argument("--client_id", "The Client ID provided by Reddit.", type=str)
    parser.add_argument(
        "--client_secret", "The Secret ID provided by the Reddit.", type=str
    )
    parser.add_argument(
        "--user_agent",
        "The User Agent in the form of <APP_NAME> <VERSION> by /u/<REDDIT_USERNAME>",
        type=str,
    )
    parser.add_argument(
        "--posts", "A boolean variable to parse through the posts or not.", type=bool
    )
    parser.add_argument(
        "--comments",
        "A boolean variable to parse through the comments of the top posts of subreddit",
        type=bool,
    )

    args = parser.parse_args()

    client_id = args["client_id"]
    client_secret = args["client_secret"]
    user_agent = args["user_agent"]
    file_path = args["subreddit_file_path"]
    limit = args["limit"]

    r = Crawler(client_id=client_id, client_secret=client_secret, user_agent=user_agent)

    subreddit_list = open(file_path, "r").readlines().split()

    print(subreddit_list)

    if args["posts"]:
        r.get_posts(subreddit_names=subreddit_list, sort_by="top", limit=limit)

    if args["comments"]:
        r.get_comments(subreddit_names=subreddit_list, sort_by="top", limit=limit)