Building a literature review, a citation analysis, or a dataset to train or ground an LLM? Here are the best ways to pull academic papers and research data at scale in 2026 — the major open APIs and the no-code scrapers that wrap them. TL;DR: For preprints and CS/ML/physics, use the arXiv Scraper . For broad cross-discipline coverage and citations, the OpenAlex Scraper (250M+ works). For biomedical literature, the PubMed Scraper . For social/forum data to complement papers, the Reddit Archive Scraper . Why scrape research data? Literature reviews — gather and rank every relevant paper on a topic, fast. Citation & bibliometric analysis — study impact, venues, authors, and trends. RAG & LLM datasets — build topic-specific corpora of abstracts (and PDF links) to ground or fine-tune models. Research analytics — track output by field, institution, and year. All the major sources are free and open — the work is in querying, paginating, and flattening their output. No-code scrapers remove that friction.…