Thesis Literature Review Scraper
Pricing
from $1.00 / 1,000 results
Turn any research topic into a clean reading list of peer-reviewed papers from OpenAlex, Semantic Scholar, and Crossref in one run. Includes citation-manager exports, spreadsheets, and an LLM-ready Markdown bundle for contextualizing AI queries with real academic literature.
Your research topic or keywords (e.g., 'artificial intelligence in higher education', 'impact of social media on adolescent mental health'). Broad topics return more papers — narrow it with concrete nouns if you want a tighter set.
Only include papers published in or after this year.
Only include papers published in or before this year.
Total de-duplicated papers across all sources (10–1000). Larger runs take longer and cost more — start with 100 to validate the query.
Which free scholarly APIs to aggregate. Results are deduplicated by DOI (with fuzzy-title fallback) and field-merged across sources. ⚠️ Adding Semantic Scholar can make runs noticeably longer — its anonymous rate-limit pool is strict (1 req/sec + frequent 429s). Enable it only if you need its abstracts/influentialCitationCount, or supply a free Semantic Scholar API key below to bypass the shared pool.
[ "openalex", "crossref"]Drop papers with fewer citations than this. Set to 0 to keep all.
When true, only include papers with a free open-access PDF link.
Ranking order for the final deduped list.
JSON dataset is always produced. These are additional exports written to the run's Key-Value Store.
[ "bibtex", "markdown"]Optional. When provided, we include it in OpenAlex and Crossref requests so you get priority routing and higher rate limits. Leave blank to run anonymously. Never stored, never shared.
Optional. Semantic Scholar's anonymous pool is heavily rate-limited. If you have a free API key from https://www.semanticscholar.org/product/api#api-key-form, paste it here to bypass the shared pool. Leave blank to run without it.