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Bright Data | Reddit Ticker-Mapped Sentiment Data

Bright Data
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#
reddit_post_id
url
post_url
subreddit
user_name
score
comments_count
rank
via_view
message_id
updated_at
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Sign In To Preview Data
Volume
514M
records
Avail. Formats
.json, .csv, and .xls
File
Coverage
249
Countries

Data Dictionary

[Sample] reddit_threads_scores_ranks - upload.csv
Attribute Type Example Mapping
reddit_post_id
String 29e2w4
url
String https://www.reddit.com/r/XCofficialreddit/comments/29e2w4...
post_url
String https://www.reddit.com/r/XCofficialreddit/comments/29e2w4...
subreddit
String XCofficialreddit
user_name
String Pizpie
score
Integer 9
comments_count
Integer 4
rank
Integer 38
via_view
String hot
message_id
Integer 7062957812
updated_at
String 40:01.0

Description

Reddit dataset set from threads and comment based of more than 800 finance-related sub-Reddits such as wallstreetbets, CryptoCurrency, StockMarket, Superstonk, SPAC, etc.
Using NLP/NLU we detect Tickers and financial symbols. The data is then ticker-mapped to provide sentiment scores for a specific company based on texts collected. Use Cases: Hedge funds can use this data set in different ways. For example, risk assessment tool, providing information about how many users on Reddit talk about a certain stock to their PMs. Helping to track their portfolios and reduce risks when spotting a stock which is getting a lot of attention from users. Popular attributes (up to-5): ✔ Ticker-mapping routines, key event and topic classifiers ✔ Sentiment scores with NLP ✔ Raw data available ✔ Historical data available, point-in-time Key information: Pricing: One-off purchase or Monthly license Tracking finance specific sub reddits, crypto, stocks, and indices Historical data: since September 2017 APIs available, REST and Websocket CSV, JSON, FTP

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.)

Volume

514 million records

Pricing

Bright Data 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

Delivery

Methods
S3 Bucket
SFTP
Email
Frequency
monthly
quarterly
Format
.json
.csv
.xls

Use Cases

Social Media Advertising
Social Media Marketing

Categories

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Frequently asked questions

What is Bright Data Reddit Ticker-Mapped Sentiment Data?

Reddit dataset set from threads and comment based of more than 800 finance-related sub-Reddits such as wallstreetbets, CryptoCurrency, StockMarket, Superstonk, SPAC, etc.

What is Bright Data Reddit Ticker-Mapped Sentiment Data used for?

This product has 2 key use cases. Bright Data recommends using the data for Social Media Advertising and Social Media Marketing. Global businesses and organizations buy Social Media Data from Bright Data to fuel their analytics and enrichment.

Who can use Bright Data Reddit Ticker-Mapped Sentiment Data?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Social Media Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.

Which countries does Bright Data Reddit Ticker-Mapped Sentiment Data cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.

How much does Bright Data Reddit Ticker-Mapped Sentiment Data cost?

Pricing information for Bright Data Reddit Ticker-Mapped Sentiment Data is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.

How can I get Bright Data Reddit Ticker-Mapped Sentiment Data?

Businesses can buy Social Media Data from Bright Data and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json, .csv, and .xls format.

What is the data quality of Bright Data Reddit Ticker-Mapped Sentiment Data?

You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 8 APIs for SEO Optimization, Best 6 SERP Tracking APIs for Accurate Monitoring, and Best +8 Web Scraping APIs to use in 2023.

What are similar products to Bright Data Reddit Ticker-Mapped Sentiment Data?

This product has 3 related products. These alternatives include Bright Data Social Media Data - Global Coverage - account, business & nonbusines, YouTube & Google Maps Data 21+ Attributes Channel metrics, Creator Info, Video Metrics Google My Business Rating, Maps Social Media Data , and The Data Appeal Company Data API, Dataset 251M POI Data Mapped Coverage from 2019 Estimate POI Sentiment and Footfall. You can compare the best Social Media Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request