You will get Compliant Web Data Collection & API Integration (Playwright/Selenium)
Project details
Compliant data collection built with Playwright or Selenium, tailored to public or permissioned sources. The service prioritizes legality and ethics: site Terms of Service and robots.txt are reviewed, APIs are preferred when available, and rate limits are respected. A small proof-of-concept validates target pages, selectors, pagination, and dynamic rendering. The production pipeline handles JavaScript-heavy sites, scrolling, lazy loading, and structured extraction with resilient retries, backoff, and per-domain throttling. Quality controls include deduplication, field validation, and schema consistency. Progress is tracked with transparent logs and run reports. Deliverables are clean datasets in CSV/JSON/Parquet (or a requested format), plus documentation of fields, provenance, and run parameters. The workflow is configurable for specific URLs, fields, and update frequency, and can be scheduled for periodic refreshes. Client confirmation that data collection is permitted is required. Result: reliable, auditable data collection that turns web content into analysis-ready datasets without compromising compliance.
Data Tool
PythonWhat's included $1,000
These options are included with the project scope.
$1,000
- Delivery Time 21 days
- Number of Pages Mined/Scraped 10000
- Number of Revisions 3
Optional add-ons
You can add these on the next page.
Additional Revision
+$30
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Tom V.
Oct 6, 2025
Expert Power BI Dashboard Development
Santi is a pleasure to work with. He asks all the right questions, listens carefully and clarifies every step of the way. I handed Santi the Power BI project and the results Santi produced are perfect! Thank you Santi. I look forward to working with you again.
About Santi
Data Scientist | Web Scraper | R | SQL | Python | SAS | Power BI
Madrid, Spain - 5:48 am local time
Data foundations matter; SQL, ELT, and ETL are the first step to bring disparate sources into clean structure and reliable governance. Once the data is in order, the real value begins: time series forecasting, predictive modeling, segmentation and classification, anomaly detection, and experiment-driven insights; all validated with robust procedures and monitored over time to keep performance stable. I surface results through intuitive Power BI experiences with effective data modeling, DAX, R or Python when needed, secure access, and narratives that make insights obvious and actionable.
I also focus on adoption and communication. Beyond the analytics and dashboards, I produce professional tutorials and product videos with clear explanations, consistent visuals, and voiceover; helping clients train teams, shorten onboarding, and sell the value of their data products more effectively. The goal is not just a model or a report; the goal is usage, outcomes, and repeatable decision making.
I am young, highly motivated, and I learn every day. Outside client work I am developing a blockchain and AI project; I stay hands-on with modern tools and practices; I am proactive by default and I enjoy hard problems. Continuous study and experimentation ensure every engagement benefits from current, battle-tested techniques.
For my main client, b2b-aero, I am the sole data scientist and I lead all business intelligence, data, and statistics initiatives. I own architecture and modeling; I design forecasting and advanced analytics; I build and evolve dashboards; I establish data quality processes; and I translate business goals into production-ready solutions. The role requires autonomy, clear communication, and the ability to partner with leadership to turn ideas into outcomes.
This skill set is industry-agnostic and applies to supply chain, finance, retail, manufacturing, healthcare, marketing analytics, and more. Whether the need is a forecasting system to reduce stockouts; a propensity model to improve conversion; a unified data mart to align teams; an automated data capture pipeline to enrich internal sources; or an executive KPI dashboard with drill-downs and narrative summaries; the approach is consistent: rigorous methods, pragmatic engineering, and design that makes insights simple to use.
Engagements range from rapid audits to fixed-scope builds and ongoing partnerships. Communication is proactive; timelines are realistic; success is measured by business results: faster decisions, automated processes, lower costs, and better visibility. If you want a partner who connects statistics with real products, combining R, Python, SAS, SQL, and Power BI into secure, scalable, and visually compelling solutions, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Santi can start the project.
Delivery time starts when Santi receives requirements from you.
Santi works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm Data Source
Review target URLs/endpoints, scope, and access rules; verify pages load, structure is consistent, and collection is permitted.
Build Stealth Scraper
Implement robust Playwright pipeline with VPN + user-agent rotation, randomized timing, retries/backoff, logging, and secure storage.