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Store scraped data in CSV, JSON, or a database such as MySQL or PostgreSQL. JSON is recommended for its balance of speed and storage efficiency.
Run your Scrapy spider from the terminal and start collecting competitor price data. Covers the command, expected output, and where results are saved.
Set up Scrapy for competitor price monitoring. Manual price tracking is slow and error-prone; this guide covers installing the tools you need to automate it.
Log in with the private link sent to your email, then enter your address and password to reach the Senkrondata platform dashboard.
To reset your password, you can send an email to info@senkrondata.com requesting support. Your email should include the following information:
To add a new user, send an email to info@senkrondata.com requesting user registration. In your email, please provide:
The Senkrondata AI Competitor Tracking Platform Dashboard is designed for quick access and consists of the following main sections:
You can update your account information by contacting the system administrator. If you continue to experience issues, send an email to info@senkrondata.com.
You can update the notifications you receive through the platform from the Product Alert page.
To manage user roles and permissions, you need Admin Panel access. If you are an administrator:
Restrict which modules each user can open, and assign or revoke module-level access from the user management screen.
If you encounter any issues while using the platform, you can submit a Support Request:
Reach the Senkrondata support team at info@senkrondata.com for any platform, integration, or data question.
Get notified the moment a competitor changes a price, launches a promotion, or adds a product, based on the criteria you set.
Automatically generated daily, weekly, or monthly reports tracking competitor pricing strategies and marketing activity.
Price comparison and index reports analyze the average prices and trends of competitor products, allowing you to compare them with your own.
Monthly Executive Summaries provide a detailed report of competitor activities and trends at the end of each month.
Marketplace Trend Tracking allows you to analyze category trends based on top-selling products.
Media Investments tracks competitors’ digital media and advertising expenditures, including advertising platforms, budgets, and campaign results.
Monitor competitors’ banners and sliders to understand their marketing strategies.
Monitor cart-specific competitor campaigns and compare them with your own pricing. The system adds top competitor products to the cart automatically.
Optimize Google Ads based on competitor price comparisons to improve ROI and increase sales.
Daily Summary Reports provide a short summary of all competitor activities, including price changes and product updates.
Analyze and compare hotel pricing strategies with detailed reports for a single property or an entire hotel group.
Track hotel prices and market movements on a daily, weekly, or monthly schedule for strategic rate decisions.
Compare hotel rates against market averages and see how your price index shifts over time.
End-of-month reports on hotel rates, market analysis, and pricing strategy, written for hotel managers and revenue strategists.
Daily Reports summarize hotel price changes, campaign updates, and market trends at the end of each day.
Which mobile platforms Senkrondata can extract data from, and what product, price, and campaign fields are available.
How fast Senkrondata collects data — real-time crawls for critical products and scheduled runs for broader catalogs.
Whether Senkrondata can collect data through APIs, and how API sources are combined with crawled data.
How to collect special campaigns and limited offers from e-commerce apps, including app-only prices and promotions.
Available export formats and delivery options for processed data, from scheduled files to direct integrations.
Transfer selected competitor data to Google Cloud BigQuery so you can query and combine it independently of the Senkrondata platform.
How a Senkrondata integration runs end to end: team collaboration, data scope and frequency, schema requirements, and BigQuery table structure.
Set data upload frequency around your business processes: daily, weekly, or real-time scheduling, and how to plan load times against your workflows.
What happens after integration: routine checks after every data run, error-detection algorithms, and ongoing optimisation of processing and query times.
Yes. Before starting the integration, ensure that your BigQuery account is active and that the required API keys (service account keys) have been generated.
The integration process typically takes a few weeks. The duration may vary depending on:
Choose an upload frequency that matches your workflow — from minute-by-minute or hourly refreshes to daily scheduled deliveries.
No. We have robust data validation algorithms in place to prevent any data loss during integration.
