Overview
Universitas digital data collection turns web pages, document archives, and social media feeds into structured, clean databases. We design Python collectors combining official API access with resilient web scraping procedures using Scrapy, Playwright, Selenium, and BeautifulSoup.
We follow rate limits, robots.txt directives, platform terms of service, and privacy rules under the LGPD and GDPR.
To review legal frameworks and data protection practices, read our guide on web scraping, transparency, and LGPD compliance.
Who it is for
- Academia: Research labs and doctoral candidates studying online discourse, political communication, social networks, and public policy records.
- Businesses: Market intelligence, competitive benchmarking, automated pricing monitors, and digital consumer trend analysts.
- Public Sector: Policy observatories, compliance auditors, and open-government transparency initiatives tracking institutional indices.
- NGOs & Non-Profits: Non-profit advocacy teams tracking civic discussions, monitoring disinformation, and collecting public evidence for campaigns and investigative reports.
How we work
- Feasibility review: Technical assessment of target platforms, API limits, and ethical boundaries.
- Extractor engineering: Writing fault-tolerant extraction scripts equipped with session recovery and logging.
- Data normalization: Deduplication, text normalization, schema mapping, and relational indexing.
- Compliance check: Verification against privacy standards and delivery of comprehensive variable dictionaries.