Ticketmaster.com Events Information Scraping on a Recurring Basis product image in hero

Ticketmaster.com Events Information Scraping on a Recurring Basis

Datamam
5.0(5)Badge iconVerified Data Provider
#
event_url
event_id
title
datetime_utc
datetime_local
name
postal_code
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx
2 Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx
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... xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx
Sign In To Preview Data
Volume
1.5M
rows
Data Quality
100%
Quality Rate
Avail. Formats
.json, .xml, and .csv
File
Coverage
249
Countries
History
1
days

Data Dictionary

[Sample] ticketmaster_events.csv
Attribute Type Example Mapping
event_url
String https://www.ticketmaster.com/chippendales-las-vegas-nevad...
event_id
String 39005E37B8954EE4
title
String Chippendales
datetime_utc
String 1/1/2024 4:00
datetime_local
String 12/31/2023 20:00
name
String Chippendales Theater at Rio Las Vegas
String #### * ******** ** Address
String Las Vegas City Name
String NV State Name
String US Country Name
postal_code
Integer 89103
Product Attributes
Attribute Type Example Mapping
event_url
String
event_id
String
event_title
String
event_datetime_utc
DateTime
event_datetime_local
DateTime
venue_name
String
venue_address
String
venue_city
String
venue_state
String
venue_country
String
venue_postal_code
String

Description

Ticketmaster is a popular online platform for buying and selling tickets to various events such as concerts, sports games, theater shows, and more. Scraping Ticketmaster events involves automatically extracting data from the website's pages using custom built web scraping software.
The data that can be scraped includes event titles, dates, locations, descriptions and more. This information can be useful for various purposes, such as analyzing trends in event popularity, tracking changes in pricing, and providing recommendations to users based on their preferences. Moreover, this data can also be used for research purposes by academic institutions or government agencies. Researchers can use the information to study trends in the entertainment industry, such as the types of events that are gaining in popularity, the geographic distribution of events, and the average price of tickets. Finally, the scraped data can be valuable to media outlets and content creators who want to stay up-to-date on the latest events and developments in the entertainment industry. By regularly monitoring Ticketmaster events, media outlets can produce timely and relevant content that resonates with their audiences. Overall, web scraping Ticketmaster events can provide valuable insights and opportunities for a variety of industries and applications.

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

1 days of historical data

Volume

1.5 million rows

Pricing

Free sample available
License Starts at
One-off purchase
$5,000 / purchase
Monthly License
$5,000 / month
Yearly License
$50,000 / year
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Quality Rate

Delivery

Methods
S3 Bucket
SFTP
Email
REST API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.xml
.csv
.xls
.sql
.txt
.bin

Use Cases

Market Research
Marketing Intelligence
Competitive Intelligence

Categories

Related Searches

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Frequently asked questions

What is Ticketmaster.com Events Information Scraping on a Recurring Basis?

Ticketmaster is a popular online platform for buying and selling tickets to various events such as concerts, sports games, theater shows, and more. Scraping Ticketmaster events involves automatically extracting data from the website’s pages using custom built web scraping software.

What is Ticketmaster.com Events Information Scraping on a Recurring Basis used for?

This product has 3 key use cases. Datamam recommends using the data for Market Research, Marketing Intelligence, and Competitive Intelligence. Global businesses and organizations buy Event Data from Datamam to fuel their analytics and enrichment.

Who can use Ticketmaster.com Events Information Scraping on a Recurring Basis?

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

How far back does the data in Ticketmaster.com Events Information Scraping on a Recurring Basis go?

This product has 1 days of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does Ticketmaster.com Events Information Scraping on a Recurring Basis cover?

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

How much does Ticketmaster.com Events Information Scraping on a Recurring Basis cost?

Pricing for Ticketmaster.com Events Information Scraping on a Recurring Basis starts at USD5,000 per purchase. Connect with Datamam to get a quote and arrange custom pricing models based on your data requirements.

How can I get Ticketmaster.com Events Information Scraping on a Recurring Basis?

Businesses can buy Event Data from Datamam and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Datamam can deliver this product in .json, .xml, .csv, .xls, .sql, .txt, and .bin format.

What is the data quality of Ticketmaster.com Events Information Scraping on a Recurring Basis?

Datamam has reported that this product has the following quality and accuracy assurances: 99.9% Quality Rate. You can compare and assess the data quality of Datamam using Datarade’s data marketplace. Datamam has received 5 reviews from clients. Datamam appears on selected Datarade top lists ranking the best data providers, including Best +8 Web Scraping APIs to use in 2023 and Best +8 Amazon Review APIs to use in 2023.

What are similar products to Ticketmaster.com Events Information Scraping on a Recurring Basis?

This product has 3 related products. These alternatives include Ticketmaster.com Tickets Data Scraping on a Recurring Basis, OpenWeb Ninja Public Event Data, Local & Online Events, Shows, Concerts, Sport Events, Workshops + More Google Events Global Real-Time API, and Dappier Breaking News Data RAG API, LLM Compatible Real-Time Updates Unlimited Data. You can compare the best Event Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$5,000 / purchase
License Starts at
One-off purchase
$5,000 / purchase
Monthly License
$5,000 / month
Yearly License
$50,000 / year
Usage-based Not available

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