Your ultimate
ticketing
 data partner

Get comprehensive ticketing data effortlessly with our hassle-free scraping solutions. We specialize in extracting venues, locations, tickets data, and more, ensuring accurate data is available at your fingertips.


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Transform Ticketing platforms into Strategic Business Insights

Ticketing Data Scrape specializes in event ticketing data scraping, effortlessly extracting key details like event names, dates, locations, and ticket prices—including crucial variables like seat categories and availability. Our expertise spans concert, sports, theater, and other ticketing platforms, providing comprehensive insights to help your business stay ahead in a competitive market and optimize its strategy.

Gain insights into market size (TAM) and your competitive position in every region.

Optimise Service Fees based on sophisticated analysis

Generate new leads with data-based approach

Get the clutter out of CRM


Be the first to learn about new events

Understand promotions to optimise your budgets

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Get data from any platform you need

  • eventim logo
  • livenation logo
  • ticketmaster logo
  • stubhub logo
  • vividseats logo
  • seetickets logo
  • seatgeek logo
  • viagogo logo

and many more!

Use-case examples

How our clients use data?

01
Gain insights into market (TAM) to make informed decisions
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In the competitive landscape of the food delivery industry, understanding the Total Addressable Market (TAM) is key to making strategic decisions. Our clients leverage our data to gain deep insights into market size, enabling them to identify lucrative opportunities and target specific customer segments effectively.

02
Optimize Service Fees
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Our clients rely on our competitive data insights to fine-tune their eater fees effectively. By analyzing the pricing strategies of competitors, businesses can make data-driven adjustments, ensuring their fees remain competitive yet financially viable. Through our tailored solutions, clients gain a clear understanding of market trends, enabling them to set eater fees strategically.

03
Discover new venues and build a dynamic leads database.
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Our ticketing data scraping services provide you with real-time access to comprehensive event and venue data. Stay ahead of the competition by identifying newly added venues and events, all captured with region-specific precision and accuracy.

04
Get a full event category breakdown per platform
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Our data solutions enable you to compare category-specific performance—whether it's music, sports, or theater—across leading ticketing platforms. Identify trends, assess coverage, and make data-driven decisions to optimize your event strategy.

What we do?

At Doubledata, our mission is to provide you with the most accurate data possible. Beyond data scraping, we carefully collect information from the most reliable sources available. Our team works hard every day to gather and clean data, using both advanced algorithms and human validation processes to ensure accuracy. We are dedicated to delivering the most reliable information to you, so you can make informed decisions with confidence.

IMPORTANT
100% in-house data matching & refinement

While others outsource, we handle the entire process in-house to ensure the highest data quality. We've developed advanced machine learning algorithms that refine and match data. However, we don't solely rely on them; our team of experts manually validates and cleans the results, using a multilayered approach that delivers unmatched accuracy in the industry.

Using advanced machine learning algorithms

Double-checked manually by the team of experts

  1. 1

    Data extraction

    Doubledata provides accurate, daily geolocalized data from multiple sources, with a focus on restaurant data scraping. Customized location and menu information is available for specific areas.

  2. 2

    Data cleaning & management

    We handle data cleaning, and maintenance in-house. Our expert team ensures top-notch data quality and swift responsiveness to your needs.

  3. 3

    Data matching

    We provide our own index for venues’ data matching across platforms using Machine Learning & AI algorithms supported with manual refinement.

  4. 4

    Analytics

    Analyze service fees across platforms, enrich your CRM with event ratings and reviews, visualize coverage zones, and categorize venues using our proprietary indexing system.

DATA MATCHING

Our algorithms cross-reference and align data from various sources, ensuring consistency and identifying unique venues across platforms.

MANUAL REFINEMENT

UNMERGING LEADS

Separate and analyze merged data entries to ensure each venue is accurately represented. This process helps identify any duplications.

merged data 1/2
nameEl Clásico: Barça...
addressAv. de Concha...
sourceTicketmaster
venueSantiago Bernabéu
unmerge leads
merged data 2/2
nameEl Clásico: Barça...
addressAv. de Concha...
sourceEntradas
venueSantiago Bernabéu

MERGING LEADS

Consolidate multiple listings of the same venue from various sources into a single, comprehensive profile.

Name
Source
Venue
Travis Scott: Utopia -
Ticketmaster
Deutsche Bank...
TRAVIS SCOTT - UT...
Eventim
Deutsche Bank...
Travis Scott Deutsch...
viagogo
Deutsche Bank...
merge leads
Travis Scott: Utopia -
3 platforms
Deutsche Bank...

MAPPING LISTING TYPES

Categorize venues consistently across all data sources, ensuring accurate classification of businesses (e.g., restaurant, bar, cafe).

Name
Category Type (auto)
Travis Scott: Utopia - ...
Music
Edit
Karol G - Mañana Será
Music
Edit
El Clásico: Barça & Re...
Sport
Edit
Music
Festival
Stand-up
Sport
Theatre

Tailored insights at your fingertips

Get instant access to the insights you need, allowing you to respond swiftly to market changes and customer demands. Ouruser-friendly dashboards provide a visual representation of your data, allowing you to grasp complex insights at a glance.

Whether you prefer intuitive dashboards for quick insights or raw data for in-depth analysis, our solutions are tailored to meet your specific needs, while APIs allow seamless integration into your existing systems.

Insights panels

Want to see more?

Schedule a demo and explore more dashboards. Get sample data set and check how we can empower your business with insights.

Quality assurance

We employ rigorous automated quality assurance processes, complemented by manual checks, to validate data accuracy and completeness.

AUTOMATIC QA

Tests Scope & Outcomes

Problems & Resolution Status

Proofs & Examples

MANUAL QA

Proofs Test Scope

Spot Check Dataset Scope

Spot Check Proof

AUTOMATIC QA

Tests Scope & Outcomes

Problems & Resolution Status

Proofs & Examples

MANUAL QA

Proofs Test Scope

Spot Check Dataset Scope

Spot Check Proof

TEST
1
Add warning
min_count
200
min_count
15
TEST
2
min_count
5
min_count
10
min_count
15
TEST
3
min_count
10
min_count
15
min_count
20
Test Description
Data range
Geography
Methodology
Status
Check if the columns align with the established template.
2024.01.01
2024.05.07
Portugal
Passed
Check if the number of rows is similar to the previous scraping.
2024.01.01
2024.05.07
Portugal
Investigating
Passed
Passed
Passed
Test Name
Test ID
Date
Actual
Expected
Issue Level
# of unique active events Berlin
4506
2024.05.06
19,124
18,124
success
# of active Events TicketMaster Spain
4507
2024.05.08
15,001
14,124
investigating
# of concert events Eventim UK
4508
2024.05.08
1,124
2,124
investigating
avg Service fee Uber Eventim Germany
4509
2024.05.08
$6.20
$6.40
success
avg Service Fee Live Nation Canada
4510
2024.05.10
$5
$9
error

WHAT’S GOING ON?

DoubleData

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