Dataplex: Reddit Data | Global Social Media Data | 2.1M+ subreddits: trends, audience insights + more | Ideal for Interest-Based Segmentation product image in hero

Dataplex: Reddit Data | Global Social Media Data | 2.1M+ subreddits: trends, audience insights + more | Ideal for Interest-Based Segmentation

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#
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
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Sign In To Preview Data
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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
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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
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Sign In To Preview Data
Volume
60
million records
Data Quality
100%
Resolved foreign keys between files
Avail. Formats
.json and .csv
File
Coverage
249
Countries
History
2
years

Data Dictionary

[Sample] dim_subreddit.csv
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
[Sample] fct_subreddit_day.csv
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
[Sample] dim_date.csv
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

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.
The Reddit Subreddit Dataset by Dataplex offers a comprehensive and detailed view of Reddit’s vast ecosystem, now enhanced with appended AI-generated columns that provide additional insights and categorization. This dataset includes data from over 2.1 million subreddits, making it an invaluable resource for a wide range of analytical applications, from social media analysis to market research. Dataset Overview: This dataset includes detailed information on subreddit activities, user interactions, post frequency, comment data, and more. The inclusion of AI-generated columns adds an extra layer of analysis, offering sentiment analysis, topic categorization, and predictive insights that help users better understand the dynamics of each subreddit. 2.1 Million Subreddits with Enhanced AI Insights: The dataset covers over 2.1 million subreddits and now includes AI-enhanced columns that provide: - Sentiment Analysis: AI-driven sentiment scores for posts and comments, allowing users to gauge community mood and reactions. - Topic Categorization: Automated categorization of subreddit content into relevant topics, making it easier to filter and analyze specific types of discussions. - Predictive Insights: AI models that predict trends, content virality, and user engagement, helping users anticipate future developments within subreddits. Sourced Directly from Reddit: All social media data in this dataset is sourced directly from Reddit, ensuring accuracy and authenticity. The dataset is updated regularly, reflecting the latest trends and user interactions on the platform. This ensures that users have access to the most current and relevant data for their analyses. Key Features: - Subreddit Metrics: Detailed data on subreddit activity, including the number of posts, comments, votes, and user participation. - User Engagement: Insights into how users interact with content, including comment threads, upvotes/downvotes, and participation rates. - Trending Topics: Track emerging trends and viral content across the platform, helping you stay ahead of the curve in understanding social media dynamics. - AI-Enhanced Analysis: Utilize AI-generated columns for sentiment analysis, topic categorization, and predictive insights, providing a deeper understanding of the data. Use Cases: - Social Media Analysis: Researchers and analysts can use this dataset to study online behavior, track the spread of information, and understand how content resonates with different audiences. - Market Research: Marketers can leverage the dataset to identify target audiences, understand consumer preferences, and tailor campaigns to specific communities. - Content Strategy: Content creators and strategists can use insights from the dataset to craft content that aligns with trending topics and user interests, maximizing engagement. - Academic Research: Academics can explore the dynamics of online communities, studying everything from the spread of misinformation to the formation of online subcultures. Data Quality and Reliability: The Reddit Subreddit Dataset emphasizes data quality and reliability. Each record is carefully compiled from Reddit’s vast database, ensuring that the information is both accurate and up-to-date. The AI-generated columns further enhance the dataset's value, providing automated insights that help users quickly identify key trends and sentiments. Integration and Usability: The dataset is provided in a format that is compatible with most data analysis tools and platforms, making it easy to integrate into existing workflows. Users can quickly import, analyze, and utilize the data for various applications, from market research to academic studies. User-Friendly Structure and Metadata: The data is organized for easy navigation and analysis, with metadata files included to help users identify relevant subreddits and data points. The AI-enhanced columns are clearly labeled and structured, allowing users to efficiently incorporate these insights into their analyses. Ideal For: - Data Analysts: Conduct in-depth analyses of subreddit trends, user engagement, and content virality. The dataset’s extensive coverage and AI-enhanced insights make it an invaluable tool for data-driven research. - Marketers: Use the dataset to better understand your target audience, tailor campaigns to specific interests, and track the effectiveness of marketing efforts across Reddit. - Researchers: Explore the social dynamics of online communities, analyze the spread of ideas and information, and study the impact of digital media on public discourse, all while leveraging AI-generated insights. This dataset is an essential resource for anyone looking to understand the intricacies of Reddit's vast ecosystem, offering the data and AI-enhanced insights needed to drive informed decisions and strategies across various fields. Whether you’re tracking emerging trends, analyzing user behavior, or conducting academic research, the Reddit Subreddit Dataset by Dataplex provides the comprehensive data necessary to succeed.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

2 years of historical data

Volume

2 million subreddits
60 million records

Pricing

Free sample available
Dataplex has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Resolved foreign keys between files
100%
Attributes consistent in format by data type

Delivery

Methods
S3 Bucket
SFTP
Frequency
daily
weekly
monthly
quarterly
yearly
Format
.json
.csv

Use Cases

Audience Insights
Audience Segmentation
Audience Analytics
Customer Acquisition
Market Analysis

Categories

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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 LinkedIn Data Professional Network Data 50+ Industry Segmentation Global Coverage 120M+ Professionals Verified Email, Phone 20+ Attributes. 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.

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