12/10/2023 0 Comments Reddit webscraper![]() ![]() But for Internet marketers and social researchers, it is an incredible source of social data. To many, it is nothing more than a place they while away time and have a discussion on their favorite topics. Reddit, the first page of the Internet is an online discussion forum. ![]() ![]() If you are a social researcher with interest in scraping Reddit, then come in now and discover the vest web scrapers to use for scraping Reddit and how to develop your own custom scraper. To report issues or contribute to this project, please contact me on the GitHub repo for this project.Reddit is a huge source of social data. PRAW-CoDiaLS is released under the MIT License. If you think that I've missed an important attribute, please let me know! License Comments: comment author,comment ID, body (including Markdown), subreddit, score, all of the above attributes as they pertain to the comment's parent submission/thread, and URL's obtained by simple RegEx (multiple entries/rows are generated if multiple links matching the target domain(s) are found in the text body).Submissions: post author, post ID, title, url, subreddit, score, upvote ratio (note: these are approximate/obfuscated), and post flair.Output reports the following statistics as columns of two separate multi-row CSV files (one for submissions and one for comments, if included): in Top and Hot) by storing lists of submission and comment IDs that have already been encountered. To further limit requests, it tries to ensure that it minimizes the number of comments it could access twice (i.e. This amounts to checking approximately 8K posts and tens of thousands of comments). In my limited testing, this improved throughput by approximately 33% from ~65 posts/min to ~85 posts/min when enabling all subreddit search methods (hot/top (all)/new/controversial (all)) with the default post limit (1000) across two subreddits and two domains. To improve performance, this script opens multiple PRAW instances and makes use of the Python multi-threading module to gain a small performance boost. This means that this script will likely check between 80-100 pieces of content per minute. On that train of thought, please note that Reddit enforces rate limits. In a future update, I plan to provide an argument for setting a comment recursion depth however, any such features will drastically impact performance due to the Reddit API rate-limit. This can be optionally disabled at the command line (see below). DOMAIN is the original domain with all periods escapedīy default, this tool will return URLs collected from both link submissions (the main post for each thread) and the top-level comments for either text or link submissions (self/link posts), but not their children.Pass a properly escaped literal string to python.īy default, regular expressions will be generated for each provided domain in the form "" where: NOTE: Assumes escape characters are provided in such as way that the shell regex REGEX Override automatically generated regular expressions. x, -nocomments Don't collect links in top-level commentsReduces performance limitations caused by the Reddit API q, -quiet Supress progress reports until jobs are complete. Specify the timeframe to consider (hour, day, week, month, year, all) c CONTROVERSIAL, -controversial CONTROVERSIAL ![]() Maximum threads to check (cannot exceed 1000). p PATH, -path PATH Path to save output files (Posts_.csv and Posts_.csv. User_agent) or a path to a key/value file in YAML format. OAuth information, either comma separated values in order (client_id, client_secret, password, username, (Comma-separate multiples)ĭomain(s) to collect URLs from. s SUBS, -subs SUBS Subreddit(s) to target. h, -help show this help message and exit _Python Reddit API Wrapper (PRAW) for Community & Domain-Targeted Link Scraping._ usage: praw-codials -s list,of,subs -d list,of,domains -o client_id,client_secret,password,username,user_agent /path/to/save/output/ #of posts to search In short you will need to provide a client_id, client_secret, username, password, and client_agent. See Reddit's guide on how to obtain this and set it up. Valid Reddit OAuth is required for usage. You can also build a wheel locally from source to incorporate new changes. $ pip install praw-codials-1.0.3.tar.gz -r requirements.txt $ pip install praw_codials-1.0.3-p圓-none-any.whl -r requirements.txt tar.gz file and then run the appropriate command. PRAW-CoDiaLS is available from either this repository or via PyPI:ĭownload the. Third party modules needed: praw, pyaml, and pandas. Written for Python 3 (3.6 required due to liberal use of fstrings). A niche CLI tool built using the Python Reddit API Wrapper (PRAW) for Community & Doma in-T argeted Link Scraping. ![]()
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