CACrown ArchivesThe cinema collection
Menu
Research dossier · General Reference

Bot prevention

methods used to prevent access by bots

Cross-disciplinary reference desk with index cards, atlas, dictionary and catalogue
General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 9, 2026
Entity authorityQ108444799
Source-derived summary

Bot prevention refers to the methods used by web services to prevent access by automated processes.

Types of bots

Studies suggest that over half of the traffic on the internet is bot activity, of which over half is further classified as 'bad bots'.

Bots are used for various purposes online. Some bots are used passively for web scraping purposes, for example, to gather information from airlines about flight prices and destinations. Other bots, such as sneaker bots, help the bot operator acquire high-demand luxury goods; sometimes these are resold on the secondary market at higher prices, in what is commonly known as 'scalping'.

According to Imperva Bad Bot Report 2025, bad bots now making up 37% of all internet traffic.

Detection techniques and avoidance

Various fingerprinting and behavioural techniques are used to identify whether the client is a human user or a bot. In turn, bots use a range of techniques to avoid detection and appear like a human to the server.

Browser fingerprinting techniques are the most common component in anti-bot protection systems. Data is usually collected through client-side JavaScript which is then transmitted to the anti-bot service for analysis.

Editorial summary

The public source identifies “Bot prevention” as methods used to prevent access by bots. This brief keeps that definition visible, then builds a research path around prevention, methods and used.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current lead gives the account dated anchors—2025—that can be checked directly. The selected authority fields contribute no independent date. Its value is orientation rather than verdict, with prevention, methods and used providing the first useful test.
Editorial analysis

Why this record matters

A short description can identify a subject without explaining its stakes. For “Bot prevention”, the useful work is to connect “methods used to prevent access by bots” to the records capable of establishing context and consequence.

Evidence profile

Vocabulary and entity names are the principal evidence signals here, because they determine the precision of every later search. The source revision retrieved here is dated Sep 9, 2026. The linked authority identifier is Q108444799. None of the 0 selected statements returned an explicit reference. The first chronological checks are 2025.

Critical limits

A concise general-reference account can conceal disagreements about scope, terminology or the weight assigned to individual sources. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

Best used for
  • Subject orientation
  • Search vocabulary
  • Locating named sources
Verify next

The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Bot prevention”, its source revision and the description used here.
  2. Expand the search: follow Bot prevention primary sources, Bot prevention archive and prevention research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Bot prevention”?
  2. Which institution is responsible for the underlying evidence?
  3. What terminology or title could unlock a more precise catalogue search?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Bot prevention” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.