Reddit is an aggregator of websites that can be ranked by users. It contains subreddits to categorize topics and users can comment on these. Reddit is
#13 in the Alexa rank and it has 330 million monthly active users.
That’s equivalent to the total population in the US.
Here are a few tricks for sourcing with Reddit.
Search on Reddit
The most obvious interaction is to use the search.
On the home page. Let’s try this query:
hadoop engineer looking.
The first result says
r/BigDataJobs. Not a great subreddit. It is flooded with ‘hiring’ posts and there is no user engagement.
The next section of results is better:
- “Looking for data engineers”:
10 comments. A few people replied interested. You can research their name from their username.
- “Old timer Java, 20y experience…”:
123 comments. A lot of great data here.
You could piggyback on someone else’s post, reply to their comments. If they are interested, you could DM them.
I searched for a user I found on one of the previous results.
It took a few minutes to process the query. Then it showed a dashboard with a summary of this user’s activity.
Subreddits: A list where the user submitted a link or commented.
User data: name, ID, other basic data
Karma data: number of links, number of comments, L/C ratio (links/comments)
Link data: Most upvotes, best, worst, karma/link
Comment data: Upvotes, downvotes, best, worst, karma/comment
- Most active hours graph
- Number of submissions per domain
- Fun guessed data
The website also has an FAQ that explains where the data is coming from.
With this tool you can find metrics for subreddits:
- Fastest growing
- Top new reddits
- New reddits trending
- New subreddits by day
I’d like to know more about this subreddit:
- It shows a subscriber growth graph with some spikes. One day in June of 2017, it added 2,600 members.
200Ksubscribers in July 2019.
The subreddit has a lot of engagement. The top post shows:
- Resume Advice Thread – August 20, 2019
- 137 comments
Many of the comments have a link to a resume. Some are anonymized. If you have good sourcing skills you could figure out their names and contact details.
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This tool shows user analytics with a great user interface. The query was processed much faster than Reddit Investigator.
- Joined Reddit 11 years ago
- 478 comments, 36 submissions, 1.7% controversial, 2 karma/comment
English-based text analysis:
- Kindness Meter:
97%(calculated through controversy and text analysis)
- Text Readability:
Low(calculated with the Flesch formula)
The other common sections:
- Top subreddits
- Most frequently used words
- Comment activity over time
- Comment karma over time
Reddit tools from Github
Here is a list of popular Reddit tools found on Github
It sends a newsletter to users when their favorite subreddit has a new post.
If you are into coding, this is a great interface to view and interact with Reddit from the terminal.
It can extract media from submissions and comments. It requires basic Python knowledge to install.
Reddit’s search provides a lot of opportunity to source data. You can also try a few free tools to complement this search or use some technical tools to extract more data.