SSRN Search & Fetch provides a robust, no-API-key pipeline to discover and retrieve SSRN-hosted research by combining Google Scholar discovery with OpenAle…
SSRN Search & Fetch provides a robust, no-API-key pipeline to discover and retrieve SSRN-hosted research by combining Google Scholar discovery with OpenAlex metadata. It issues site:ssrn.com queries to Google Scholar to obtain ranked results and abstract snippets (parsing titles, authors/venue, and snippets), extracts SSRN IDs from result URLs, and queries the OpenAlex works endpoint (filtered by SSRN source id) to fetch structured metadata (DOI, authorships, publication year, cited_by_count). Typical features include configurable query encoding, User-Agent headers for reliable retrieval, regex extraction patterns for titles/authors/snippets, pagination/per_page control, and result-merging to present enriched records. Use cases: literature reviews, bibliometric analysis, citation tracking, automated bibliography generation, and metadata enrichment for research workflows. Core advantages: complete coverage (abstracts + metadata), avoids Cloudflare scraping issues, and requires no API keys.
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