Dataplex: Reddit Data | Global Social Media Data | 2.1M+ subreddits: trends, audience insights + more | Ideal for Interest-Based Segmentation
# | ID |
CLEAN_SUBREDDIT |
SUBREDDIT |
SUBREDDIT_URL |
SUBREDDIT_CREATED_DT |
SUBREDDIT_TYPE |
DESCRIPTION |
ACCEPT_FOLLOWERS |
ADVERTISER_CATEGORY |
ALL_ORIGINAL_CONTENT |
ALLOW_DISCOVERY |
ALLOW_GALLERIES |
ALLOW_IMAGES |
ALLOW_POLLS |
ALLOW_VIDEOGIFS |
ALLOW_VIDEOS |
BANNER_BACKGROUND_IMAGE |
BANNER_IMG |
COMMUNITY_REVIEWED |
DISABLE_CONTRIBUTOR_REQUESTS |
KEY_COLOR |
LANG |
MOBILE_BANNER_IMAGE |
OVER18 |
PRIMARY_COLOR |
RESTRICT_COMMENTING |
RESTRICT_POSTING |
SHOW_MEDIA_PREVIEW |
WHITELIST_STATUS |
CREATED_DT |
LAST_UPDATED_DT |
PARSED_WORDS |
RELATED_SUBJECTS |
TOP_SEARCH_TERMS |
CATEGORIES |
LAST_GPT_UPDATED_DT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
2 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
3 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
4 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
5 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
6 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
7 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx |
8 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
9 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx |
10 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
... | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx |
# | ID |
DATE_KEY |
SUBREDDIT_ID |
SUBSCRIBERS |
CREATED_DT |
LAST_UPDATED_DT |
---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx |
2 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
4 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
5 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
6 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
7 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
8 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
9 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
10 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
... | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
# | DATE_KEY |
DATE_AT |
DAY |
DAYSUFFIX |
WEEKDAY |
WEEKDAYNAME |
ISWEEKEND |
ISHOLIDAY |
HOLIDAYTEXT |
DOWINMONTH |
DAYOFYEAR |
WEEKOFMONTH |
WEEKOFYEAR |
ISOWEEKOFYEAR |
MONTH |
MONTHNAME |
QUARTER |
QUARTERNAME |
QQ |
QQYYYY |
QQ_YYYY |
YYYYQQ |
YYYY_QQ |
YEAR |
MMYYYY |
MM_YYYY |
YYYYMM |
YYYY_MM |
MONTHYEAR |
MONTH_YEAR |
YEAR_MONTH_AT |
YEARMONTH_AT |
FIRSTDAYOFWEEK |
LASTDAYOFWEEK |
FIRSTDAYOFMONTH |
LASTDAYOFMONTH |
FIRSTDAYOFQUARTER |
LASTDAYOFQUARTER |
FIRSTDAYOFYEAR |
LASTDAYOFYEAR |
FIRSTDAYOFNEXTMONTH |
FIRSTDAYOFNEXTYEAR |
SAMEDAYLASTYEAR |
STYLE101 |
IS_CURRENT_DAY |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
2 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
3 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
4 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
5 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx |
6 | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
7 | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx |
8 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx |
9 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx |
10 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
... | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
ID
|
String | bald | |
CLEAN_SUBREDDIT
|
String | bald | |
SUBREDDIT
|
String | /r/bald/ | |
SUBREDDIT_URL
|
String | http://reddit.com/r/bald/ | |
SUBREDDIT_CREATED_DT
|
String | 2011-04-11 18:21:42.000 Z | |
SUBREDDIT_TYPE
|
String | public | |
DESCRIPTION
|
We're thrilled to have you join our community of proud ba... | ||
ACCEPT_FOLLOWERS
|
Boolean | t | |
ADVERTISER_CATEGORY
|
|||
ALL_ORIGINAL_CONTENT
|
Boolean | f | |
ALLOW_DISCOVERY
|
Boolean | t | |
ALLOW_GALLERIES
|
Boolean | t | |
ALLOW_IMAGES
|
Boolean | t | |
ALLOW_POLLS
|
Boolean | t | |
ALLOW_VIDEOGIFS
|
Boolean | t | |
ALLOW_VIDEOS
|
Boolean | f | |
BANNER_BACKGROUND_IMAGE
|
|||
BANNER_IMG
|
|||
COMMUNITY_REVIEWED
|
Boolean | t | |
DISABLE_CONTRIBUTOR_REQUESTS
|
Boolean | f | |
KEY_COLOR
|
|||
LANG
|
String | en | |
MOBILE_BANNER_IMAGE
|
|||
OVER18
|
Boolean | f | |
PRIMARY_COLOR
|
|||
RESTRICT_COMMENTING
|
Boolean | f | |
RESTRICT_POSTING
|
Boolean | t | |
SHOW_MEDIA_PREVIEW
|
Boolean | t | |
WHITELIST_STATUS
|
String | all_ads | |
CREATED_DT
|
String | 2023-01-29 16:16:00.000 Z | |
LAST_UPDATED_DT
|
String | 2024-08-07 22:45:55.880 Z | |
PARSED_WORDS
|
String | [ "bald"] | |
RELATED_SUBJECTS
|
String | [ "Hair Restoration", "Male Pattern Baldness"] | |
TOP_SEARCH_TERMS
|
String | [ "bald", "hair loss treatments", "balding remedies"] | |
CATEGORIES
|
String | [ "Hair Loss"] | |
LAST_GPT_UPDATED_DT
|
String | 2023-12-29 21:17:49.701 Z |
Attribute | Type | Example | Mapping |
---|---|---|---|
ID
|
String | apple-20240625 | |
DATE_KEY
|
Integer | 20240625 | |
SUBREDDIT_ID
|
String | apple | |
SUBSCRIBERS
|
Integer | 281002 | |
CREATED_DT
|
String | 2024-06-25 05:02:02.000 Z | |
LAST_UPDATED_DT
|
String | 2024-06-27 22:38:25.703 Z |
Attribute | Type | Example | Mapping |
---|---|---|---|
DATE_KEY
|
Integer | 20240203 | |
DATE_AT
|
DateTime | 2024-02-03T00:00:00+00:00 | |
DAY
|
Integer | 3 | |
DAYSUFFIX
|
String | rd | |
WEEKDAY
|
Integer | 6 | |
WEEKDAYNAME
|
String | Sat | |
ISWEEKEND
|
Integer | 1 | |
ISHOLIDAY
|
Integer | 0 | |
HOLIDAYTEXT
|
|||
DOWINMONTH
|
Integer | 1 | |
DAYOFYEAR
|
Integer | 34 | |
WEEKOFMONTH
|
Integer | 1 | |
WEEKOFYEAR
|
Integer | 5 | |
ISOWEEKOFYEAR
|
Integer | 5 | |
MONTH
|
Integer | 2 | |
MONTHNAME
|
String | Feb | |
QUARTER
|
Integer | 1 | |
QUARTERNAME
|
String | First | |
QQ
|
String | Q1 | |
QQYYYY
|
Integer | 5140 | |
QQ_YYYY
|
String | Q1-2024 | |
YYYYQQ
|
Integer | 202401 | |
YYYY_QQ
|
String | 2024-Q1 | |
YEAR
|
Integer | 2024 | |
MMYYYY
|
Integer | 9236 | |
MM_YYYY
|
String | 02-2024 | |
YYYYMM
|
Integer | 202402 | |
YYYY_MM
|
String | 2024-02 | |
MONTHYEAR
|
String | Feb2024 | |
MONTH_YEAR
|
String | Feb-2024 | |
YEAR_MONTH_AT
|
String | 2024-Feb | |
YEARMONTH_AT
|
String | 2024Feb | |
FIRSTDAYOFWEEK
|
DateTime | 2024-01-29T00:00:00+00:00 | |
LASTDAYOFWEEK
|
DateTime | 2024-02-04T00:00:00+00:00 | |
FIRSTDAYOFMONTH
|
DateTime | 2024-02-01T00:00:00+00:00 | |
LASTDAYOFMONTH
|
DateTime | 2024-02-29T00:00:00+00:00 | |
FIRSTDAYOFQUARTER
|
DateTime | 2024-01-01T00:00:00+00:00 | |
LASTDAYOFQUARTER
|
DateTime | 2024-03-31T00:00:00+00:00 | |
FIRSTDAYOFYEAR
|
DateTime | 2024-01-01T00:00:00+00:00 | |
LASTDAYOFYEAR
|
DateTime | 2024-12-31T00:00:00+00:00 | |
FIRSTDAYOFNEXTMONTH
|
DateTime | 2024-03-01T00:00:00+00:00 | |
FIRSTDAYOFNEXTYEAR
|
DateTime | 2025-01-01T00:00:00+00:00 | |
SAMEDAYLASTYEAR
|
DateTime | 2023-02-03T00:00:00+00:00 | |
STYLE101
|
String | 01/14/2020 | |
IS_CURRENT_DAY
|
Boolean | f |
Description
Country Coverage
History
Volume
2 | million subreddits |
60 | million records |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation?
The Reddit data dataset offers social media data tracking 2.1+ million subreddits with daily subscriber counts since January 2023. We also leverage AI to append subreddit attributes, allowing you to categorize and find subreddits by subject.
What is Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation used for?
This product has 5 key use cases. Dataplex recommends using the data for Audience Insights, Audience Segmentation, Audience Analytics, Customer Acquisition, and Market Analysis. Global businesses and organizations buy Semantic Website Data from Dataplex to fuel their analytics and enrichment.
Who can use Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Semantic Website Data. Get in touch with Dataplex to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation go?
This product has 2 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.
Which countries does Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Dataplex is headquartered in United States of America.
How much does Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation cost?
Pricing information for Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation is available by getting in contact with Dataplex. Connect with Dataplex to get a quote and arrange custom pricing models based on your data requirements.
How can I get Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation?
Businesses can buy Semantic Website Data from Dataplex and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Dataplex can deliver this product in .json and .csv format.
What is the data quality of Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation?
Dataplex has reported that this product has the following quality and accuracy assurances: 100% Resolved foreign keys between files, 100% Attributes consistent in format by data type. You can compare and assess the data quality of Dataplex using Datarade’s data marketplace.
What are similar products to Dataplex: Reddit Data Global Social Media Data 2.1M+ subreddits: trends, audience insights + more Ideal for Interest-Based Segmentation?
This product has 3 related products. These alternatives include Webautomation Reddit Data Web Scraping Data Uncover Trends, Sentiments and User Preferences GDPR compliant, Serpstat: Website Data API Unlock Key SEO Metrics Industry Insights Competitor Analysis, and Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis. You can compare the best Semantic Website Data providers and products via Datarade’s data marketplace and get the right data for your use case.