The best web research tools in one place
Web research tools that collect and structure sources at scale: link inventories, citation lists, page snapshots and datasets built from public documents. 0 bots in this category.
Research listings collect and structure sources at scale: link and citation inventories, document indexes from public repositories, page snapshots for a corpus, and dataset assembly from many similar pages. The category is for building a research corpus - directed collection with a question behind it - rather than one-off scraping.
Expect provenance on every row - source URL, collection date, depth or position - deterministic de-duplication keys, and depth or row caps you set at run time so a corpus stays bounded and reproducible.
Every listing ships the same four launchers - a Windows .exe and .sh scripts for macOS Apple Silicon, macOS Intel, and Linux - delivered as a single raw file with no archive or extraction step. Restore the executable bit on the shell-script platforms, and clear the macOS Gatekeeper quarantine attribute before the first run. A corpus build is a scheduled batch: bound it with the run prompt's caps, keep the dated outputs, and re-run the same query to extend rather than restart.
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Research bots: frequently asked questions
- What is the difference between research and scraping tools?
- Intent and reproducibility: research listings are built to assemble a citable corpus - provenance columns, caps, deterministic ordering - where scraping covers any directed one-off collection.
- Can I collect sources for a literature review?
- Yes for publicly readable pages: inventories of links, titles and dates give you the candidate set; reading, judging and citing remain the research itself.
- How are snapshots stored?
- As files beside the launcher - rows of text and metadata, or the raw extracted content where the listing declares it. Nothing is uploaded anywhere; the corpus lives on your disk.
- Can a run reproduce the same corpus later?
- Within what the sources allow: the configuration is fixed and published, ordering is deterministic, and each row carries its collection date - but live pages change, and the date column is how you keep that honest.