Find PDFs across multiple pages
Follow eligible navigation inside the scope and depth you set instead of searching only the current page.
Website PDF finder
FolderFetch is a PDF finder for a specific website—not a general academic search engine. Select the relevant page or links, scan eligible nested pages, and review discovered PDFs before downloading.
Local by default · Review before download · No access-control bypass
FolderFetch
Research portal · research.example.org/library
Why FolderFetch
Follow eligible navigation inside the scope and depth you set instead of searching only the current page.
Review verified PDF links alongside candidates that could not be fully confirmed before choosing what to keep.
Filter by name and location, then save approved PDFs into folders that retain their source context.
How it works
Start from a reports page, visual region, archive section, or a curated set of links.
Set a sensible depth, let FolderFetch inspect eligible pages, then search and filter the resulting tree for PDFs.
Confirm the PDF list and destination structure before the browser begins the download task.
Built for real website collections
Use FolderFetch when reports, briefings, manuals, appendices, tenders, and research documents are spread across a structured website.
Collect publications from agency, research institute, nonprofit, and public-information websites.
Find product manuals, standards, technical notes, and PDF data sheets across documentation pages.
Follow selected index pages and archive navigation without manually opening every result.
Keep PDFs in a structured local library with their original website organization still visible.
What FolderFetch does—and does not do
Direct PDF links are the most reliable. Embedded viewers, generated download URLs, authentication, anti-automation controls, and JavaScript-only navigation can limit discovery. FolderFetch reports uncertain candidates instead of pretending they are verified files.
Related workflows
Start with the website pages or links you choose, review the results, and save an organized local collection.