Collect research data
at scale, ethically
Purpose-built for academic research. Collect large-scale datasets from the web for social science, market research, and data science studies with built-in ethical compliance.
Built for academic rigor
Everything you need to conduct ethical, reproducible web data research
Ethical Data Collection
Built-in robots.txt compliance, rate limiting, and respect for website terms of service. Collect data responsibly for your research.
Reproducible Methods
Document and version your data collection process. Export collection configurations for methodology sections and peer review.
Longitudinal Studies
Schedule recurring data collection to track changes over time. Build temporal datasets for trend analysis and time-series research.
Research-Ready Formats
Export to CSV, JSON, or Excel. Direct integration with R, Python, SPSS, and other statistical analysis tools.
Large-Scale Collection
Collect data from thousands of sources efficiently. Process millions of data points for comprehensive research studies.
Institutional Support
Special pricing for universities and research institutions. Dedicated support for grant-funded projects and IRB compliance.
Trusted across disciplines
From PhD dissertations to published research, academics rely on ManyPI for data collection
Social Sciences
Study online behavior, social networks, and digital communities. Collect data from social media, forums, and online platforms for sociological research.
Economics & Business
Gather pricing data, market information, and economic indicators. Build datasets for econometric analysis and business research.
Communication Studies
Analyze media content, news coverage, and public discourse. Collect articles, posts, and comments for content analysis and media studies.
Political Science
Track political campaigns, policy discussions, and public opinion. Gather data from government sites, news sources, and political platforms.
Level up your
data gathering
See why ManyPI is the data extraction platform of choice for
modern technical teams.