FileMarket | Telegram Users Global Web Browsing & Activity Data Feed | 50,000 Records | AI, ML, DL & LLM Training Data product image in hero

FileMarket | Telegram Users Global Web Browsing & Activity Data Feed | 50,000 Records | AI, ML, DL & LLM Training Data

FileMarket
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#
User_ID
Visit_Timestamp
Website_Visited
Page_Duration_Seconds
User_Location
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx
2 Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx
3 xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx
4 Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx
5 Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx
6 Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx
7 xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx
8 Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx
9 xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx
10 Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx
... xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx
Sign In To Preview Data
Volume
50K
records
Avail. Formats
.bin, .json, and .xml
File
Coverage
249
Countries

Data Dictionary

[Sample] browsing_history_sample.csv
Attribute Type Example Mapping
User_ID
String U12345
Visit_Timestamp
DateTime 2024-08-01T12:15:00+00:00
Website_Visited
String google.com
Page_Duration_Seconds
Integer 300
User_Location
String USA

Description

Global dataset of Telegram user activity with 50,000 records. Ideal for AI & ML training, offering insights into user behavior across regions and demographics. High-quality, scalable data perfect for refining machine learning models and enhancing social media analytics
Overview: This dataset offers a comprehensive collection of global Telegram user activity, featuring 50,000 records. It is designed to support a wide range of AI, ML, and DL applications, providing valuable insights into user behavior on one of the fastest-growing messaging platforms. The dataset is ideal for enhancing machine learning models, large language models (LLMs), and various other AI-driven applications. What Makes This Data Unique? The uniqueness of this dataset lies in its specific focus on Telegram, a platform known for its wide global reach and diverse user base. The dataset captures detailed user activity, enabling the training of AI models that better understand and predict behaviors in a social media context. The data's diversity across regions and demographics makes it particularly valuable for creating robust, inclusive models. Data Sourcing: The data is ethically sourced from publicly available Telegram channels and groups. It aggregates user interactions, message patterns, and engagement metrics across a broad spectrum of topics and regions. The data is anonymized to protect user privacy, ensuring compliance with data protection regulations. Each record undergoes rigorous validation to ensure accuracy and reliability, making the dataset a trustworthy resource for advanced AI training. Primary Use-Cases: This dataset is highly versatile and can be applied in various fields, including: Web Browsing Data: The dataset can be used to analyze Telegram browsing patterns, helping to understand how users navigate and interact with content within the app. Large Language Model (LLM) Data: The rich text-based interactions captured in the dataset are ideal for training large language models, enhancing their ability to generate and understand human-like text. Deep Learning (DL) Data: The dataset's detailed user activity records provide a rich source of data for deep learning models, particularly in tasks such as user behavior prediction and content recommendation. Machine Learning (ML) Data: The structured data can be fed into machine learning algorithms to develop predictive models, identify trends, and classify user activities. Web Activity Data: Beyond Telegram, this dataset can contribute to broader web activity analysis, offering insights into how social media usage correlates with other online behaviors. Integration with Broader Data Offering: This Telegram user activity dataset integrates seamlessly with other data products offered by FileMarket. Whether used independently or as part of a larger data strategy, it provides unique value for those looking to develop advanced AI models, particularly in the realms of social media analytics, content personalization, and user behavior prediction.

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

50,000 records

Pricing

Free sample available
FileMarket 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
UI Export
REST API
SOAP API
Streaming API
Feed API
Frequency
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

AI Model Training
Market Segmentation
Content Personalization
Social Media Analytics
User Behavior Prediction

Categories

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Frequently asked questions

What is FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data?

Global dataset of Telegram user activity with 50,000 records. Ideal for AI & ML training, offering insights into user behavior across regions and demographics. High-quality, scalable data perfect for refining machine learning models and enhancing social media analytics

What is FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data used for?

This product has 5 key use cases. FileMarket recommends using the data for AI Model Training, Market Segmentation, Content Personalization, Social Media Analytics, and User Behavior Prediction. Global businesses and organizations buy Web Activity Data from FileMarket to fuel their analytics and enrichment.

Who can use FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data?

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

Which countries does FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data cover?

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

How much does FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data cost?

Pricing information for FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data is available by getting in contact with FileMarket. Connect with FileMarket to get a quote and arrange custom pricing models based on your data requirements.

How can I get FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data?

Businesses can buy Web Activity Data from FileMarket and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, FileMarket can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data?

You can compare and assess the data quality of FileMarket using Datarade’s data marketplace.

What are similar products to FileMarket Telegram Users Global Web Browsing & Activity Data Feed 50,000 Records AI, ML, DL & LLM Training Data?

This Text Data has 3 related products. These alternatives include Factori AI & ML Training Data Web Data Machine Learning Data Global web browsing & activity data feed (4.2 Billion records), FileMarket Telegram Users Geolocation Data with IP & Consent 50,000 Records AI, ML, DL & LLM Training Data, and TagX Web Scraping Data Web data extraction Scrape Ecommerce websites Data from all popular domains Global web data 100% compliant. You can compare the best Web Activity Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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