This may take a couple minutes to run, but afterwards you will not have your results as a nice data frame for you to do anything you want with. Res = pd.read_gbq(quer, project_id="YOUR-PROJECT-NAME") # Submit and get the results as a pandas dataframe Quer = """SELECT r.body, r.score_hidden, r.name, r.author, r.subreddit, r.scoreįROM `fh-bigquery.reddit_comments.2019_08` r So you can write out the SQL you want as a string and get the results import pandas as pd Now right from Python, you can run and return your queries from BigQuery. Get any public data from the internet by applying cutting-edge technologies.
#Reddit data extractor install
conda install pandas-gbq -channel conda-forge Just like other times, conda will make your life much easier. Now you can install a couple extra packages and use pandas to read directly from Google BigQuery. Or you can go to Advanced Mode for more options. Paste the copied Reddit link on the main interface and you'll move to the auto-detect mode by default. First, launch Octoparse after you have downloaded and installed it on your device. Using python you can then do this in the beginning of your script or notebook import os Step 1: Launch Octoparse and paste your Reddit link. Go to BigQuery APIs, go to Credentials, and Create a new Service Account.Go go Google Cloud Console and enable to BigQuery APIs Web data extraction is a practice of massive data copying done by bots.
There are several different ways to do this. But if you want to get much larger amounts, you need to use the APIs.
If you are only retrieving small amounts of data at a time from BigQuery (16,000 rows or < 1GB csv), you can easily just use the web console and download it to your computer. This is more than enough to get a bunch of comment data to explore.
#Reddit data extractor for free
And with Google's pretty generous free-tier, you can process up to 1TB of data for free every month. This reddit data are also made available in Google BigQuery. Print("Done!") Query from Google BigQuery Output_file.write(bytes(outline.encode("utf-8"))) They are also compressed in an uncommon way, and are a bunch of JSON objects which need to be parsed to extract the information you are interested it.īelow is a short script I used to read in the compressed data, extract all comments from the subreddit dataisbeautiful and write those to a new json file. These can easily be downloaded from PushShift.io. There is, conveniently, and on-going project that makes Reddit posts and comment data publicly available. But before I can make said cool stuff, I need a ton of text data. But before I can really dig into how the models actually work, I want to learn how they work at a much higher level.
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