Your ultimate
audiobooks
data partner
Effortlessly access comprehensive audiobook data with our advanced scraping solutions. We specialize in extracting trending titles, missing titles, pricing data, ratings, and catalogue availability.
Transform audiobook platforms into actionable business insights
Leverage audiobook data scraping to extract essential details, including titles, authors, narrators, ISBNs, and popularity metrics. Identify missing catalogue titles, streamline ISBN matching, and monitor new releases to enable faster licensing decisions. Analyze competitor trends, track ratings, and more.
Measure market size and regional competitiveness
Optimize pricing with data driven analysis
Generate high value titles with data driven audiobook insights
Enrich your catalogue with accurate audiobook data
Be the first to discover new audiobook releases
Analyze promotions to optimize your audiobook budgets
Get data from any app you need
and many more!
Use-case examples
How our clients use data?
In the competitive audiobook industry, identifying missing titles is key to growth. Our data-driven solutions help clients pinpoint catalogue gaps, streamline ISBN matching, and track new releases in real-time. By leveraging these insights, they make faster licensing decisions and expand their offerings to deliver a comprehensive selection that meets audience demand.
Understanding trending audiobooks on competitor platforms gives you a competitive edge. By analyzing net new ratings and popularity metrics, our clients uncover market trends and listener preferences. This data-driven approach helps prioritize high-demand titles, improve user experience, and boost listener engagement.
Tracking audiobook prices for one-time downloads is essential for competitive pricing strategies. Our clients access detailed, real-time pricing data across regions to benchmark costs and optimize subscription plans. This enables them to stay competitive and offer attractive, data-driven pricing models that resonate with customers.
Constantly dealing with blocking, proxy issues, and captchas when acquiring competitors' data can be resource-intensive. By automating data collection and combining fragmented sources into cohesive insights, our clients eliminate the need for costly internal data scraping teams. This allows them to focus on analytics, gaining a full view of their competition and matched titles enriched with ISBNs.
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.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
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
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
Data matching
We provide our own index for venues’ data matching across platforms using Machine Learning & AI algorithms supported with manual refinement.
- 4
Analytics
Analyze Eater Fees, discover TAM by city, enhance CRM with ratings and reviews, grasp delivery zones, and classify venues using our index.
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.
MERGING LEADS
Consolidate multiple listings of the same title from various sources into a single, comprehensive object.
MAPPING LISTING TYPES
Categorize titles consistently across all data sources, ensuring accurate classification of audiobooks’ categories.
Becoming by Mic..
Shoe Dog by P...
Steve Jobs by Wa...
Insights through data scraping solutions
Access Actionable Insights for food delivery, QSR, and Restaurant Data Leverage our advanced food delivery data scraping solutions to extract real-time insights that help you effectively monitor market changes and customer trends. Ourintuitive dashboards provide detailed visualizations of restaurant listings, delivery fees, and performance metrics, empowering you to make data-driven decisions with precision.
Whether you need customizable dashboards for quick analysis, raw data scraping for in-depth research, or seamless integration through our APIs we deliver data tailored to your needs. Stay ahead of the competition with reliable and actionable insights for your operations and strategy.
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.
Tests Scope & Outcomes
Problems & Resolution Status
Proofs & Examples
Proofs Test Scope
Spot Check Dataset Scope
Spot Check Proof
Tests Scope & Outcomes
Problems & Resolution Status
Proofs & Examples
Proofs Test Scope
Spot Check Dataset Scope
Spot Check Proof
