Historical data now available on DataBoutique.com
Web scraped historical data access
Historical data now available on DataBoutique.com
Web scraped historical data access
In Brief
You can now purchase historical data for web-scraped datasets on DataBoutique.com. This allows you to access data collected in the past and integrate it into your applications, whether for analytics, SaaS, or AI.
Highlights:
Consistent structure: Historical data maintains the same structure as current data, with identical fields, definitions, and quality controls. You can seamlessly add future data to the same structure and use the same ETLs.
Flexible pricing: Choose from daily, weekly, or monthly details to adapt your budget to your specific use case.
Easy testing: Free samples are available, allowing you to review the data before making a full purchase.
What is Historical Data
Definition
Historical data refers to web data collected by our vendors in the past. This allows data buyers to access the entire collection history of each vendor and enables vendors to further monetize their past efforts.
Historical data includes:
Removed Data: Information that is no longer available on a website, such as discontinued e-commerce products.
Altered Data: Data that has been updated or changed, such as prices, locations, and the number of reviews.
Seasonal Phenomena: Data on seasonal events like discounts or promotions valid only during specific times of the year.
While the Internet doesn't retain past data, capturing it allows us to recreate and utilize it effectively.
Benefits and Use Cases
Access to historical data is particularly valuable for applications such as:
Market trend analysis
Competitive benchmarking
Legal compliance
AI training
In market analysis, historical data helps identify trends over time, such as seasonal changes and shifts in consumer behavior. This enables businesses to make better strategic decisions and predict future market conditions.
For market analytics, historical data allows companies to analyze past market dynamics and competitor actions, helping them optimize their strategies and stay competitive.
Overall, historical data is a powerful tool for improving AI, understanding market trends, and enhancing business decisions.
Features of Historical Data
Structure
Historical data has the exact same structure as current data, which means:
Schema Consistency: You can find the structure definition under the “Schema” section of the platform.
Seamless Integration: Use the same ETLs to integrate it as you do with current data, with minimal changes required.
Expandable Database: Append future data to the historical collection effortlessly, allowing your database to grow over time.
Pricing
Price transparency is our cornerstone. Historical data pricing is structured to fit smoothly into your budget:
Clear Pricing: Prices are clearly stated for all options.
Cost Breakdown: Prices are linked to the cost of extraction, the number of snapshots included, and the depth of history. Shorter histories are priced lower, while more granular details reflect in the overall cost.
Flexible Packages: Choose from different packages based on the level of detail needed (daily, weekly, or monthly).
Testing
Trying before buying is crucial for data purchases. Aside from free samples, which also apply to historical data, users interested in high-granularity details (like daily data) can test the collection's effectiveness with low-granularity data (like monthly data) at a fraction of the cost before committing to a larger purchase.
How to Access Historical Data
For data buyers
When a data vendor opts to activate history, you will find the available historical data details listed on the dataset. You can purchase the historical data separately from the current data extraction by clicking the dedicated button below each historical data option.
For example, The Cettire US pricing dataset, currently trading at 9.00 EUR per collection (the full catalog of a single day of the e-commerce website)
has a history dating back 11 months (if you read this post in the future, you’ll find a longer history) for 99.00 EUR
A 50 weeks of historical data (weekly detail) at 360.00 EUR
Or a daily history, dating back to June 15th, 2023, for 1.521.00 EUR
Hitting the “buy” button will give you access to the history file you’re looking for.
For data sellers
Activating history is an opt-in feature, and soon it will become a self-service option. If you want early access to sell the historical data you have already uploaded or wish to add historical data collected before joining DataBoutique, please contact us on Discord or simply reply to this email.
QA and Pricing of Historical Data
QA (Quality Assurance)
The same QA processes used for current data are applied to historical data. Historical data is submitted by data vendors over time as current data. Once validated, it is stored and made available for bulk purchase if the vendor agrees. This includes:
Domain Validation: Datasets are linked to a schema, with each field validated against a domain (e.g., currency, country codes, prices). This ensures standardization and excludes unwanted content, such as personally identifiable information (PII).
Website Validation: Before acceptance on DataBoutique, all websites are verified for public accessibility and compliance with click-wrap terms of service.
Completeness Validation: Peer review verifications (independent checks on expected content) are continuously performed on submitted content.
Time-Series Consistency Validation: The content (e.g., price trends, and item counts) is checked over its own history to ensure the stability of published data.
Pricing
The cost of extracting data varies significantly from website to website, depending on the effort and expenses required. Pricing is set by data vendors, with historical data following the same principles.
Historical data is priced based on the number of snapshots contained in the selected historical detail. The more data points a history file has, the higher the price, reflecting the single extraction cost, including a discount factor depending on the time length.
Next on Our Roadmap
Enabling historical data was a significant milestone on our roadmap. Next, we plan to:
Integrate Historical Data into Data Bundles: Make historical data purchases available as part of our "data bundles."
Activate "Request to Activate History" Feature: Allow buyers to request the activation of historical data from sellers.
Link Historical Data Frequency to Future Updates: Connect the frequency of historical data updates to future data updates for seamless integration.
Stay tuned for coming releases, and spread the word, in case this email was forwarded to you.
About Data Boutique
Data Boutique is the data marketplace for web scraping. We make buying and selling data faster and safer for everyone.