Search the text inside digitised books, newspapers and documents on the Internet Archive. This reads what optical recognition took off the scanned pages, so it finds a phrase that appears nowhere in a title or a catalogue record. Put a phrase in double quotes to match it whole; without quotes the words are matched separately, which finds far more. 'total' counts the documents that match, and they page: ask for page 2, 3 and so on to see beyond the first answer. It is not a count of how many times the phrase occurs. The index reports no page number, so a match names the item and the passage, never a leaf. Follow source_url and search the item to find where the passage sits. When 'inside_container' is true the passage came from a document bundled inside the item, and the title, creator and year describe the container rather than the text that matched: read 'matched_file' for what actually holds it. Use search_items or search_books instead when looking for a work by its title, author or subject.

Search the Internet Archive catalogue: films, books, recordings, images, software and datasets. This matches titles, creators and descriptions, so a compilation whose notes mention a name ranks alongside that person's own work: read 'creator' on each row before treating a result as theirs. It does not read the contents of a scan; use search_inside for a phrase within a book. Set 'media_type' whenever the kind of thing is known, because one title exists across several media and mixing them makes a result list unreadable. Every row carries an 'identifier', which get_item takes.

Read one Internet Archive item by its identifier, as returned by search_items or search_inside. Sections are opt-in: 'basic' is the default and covers what a description needs. 'files' lists the downloadable files, which on a scanned film or book run to dozens of derivatives, so filter by format when a particular one is wanted. 'full_metadata' returns every field the Archive publishes for the item, which is large and rarely needed. 'file_count' and 'total_bytes' are always reported, whether or not the file list was asked for.

Find the Wayback Machine capture of a web page closest to a given date. Give 'at' to ask for a moment in time; leave it out for the most recent capture. The answer always states 'days_from_requested', because the closest capture can be years away from the date asked for: read it before describing what the page said on that date. This finds the capture and links to it. It does not return the page's contents.

List Wayback Machine captures of a web page, oldest first, with the dates they were taken. Answers how long a page has been archived and how often, which get_snapshot cannot. Identical consecutive captures are collapsed, so a date marks a visit on which the page was seen to differ from the previous one. A capture records when the crawler came, not when the page changed: the change happened somewhere between two dates. This route is slow, tens of seconds on a heavily archived address, and it is paged for that reason. To walk further back, pass the 'next_cursor' from the previous answer as 'cursor'. The index counts rows rather than positions, so there is no page number and no arithmetic to do: a null 'next_cursor' means the end of what it holds.

Find a book on Open Library, the Internet Archive's catalogue of works, either by name or by description. Pass 'query' when you know what you are looking for: a title, an author. Pass the criteria instead when you do not, and they combine: 'subject' for what a work is catalogued under, 'place' for where it is set, 'time' for the period it treats, 'person' for who it is about, plus ranges on the year of first publication and on the page count. 'sort' by rating or by readers answers 'what is worth reading', which relevance alone does not. Answers who wrote a book, when it first appeared and how many editions exist, which the item catalogue describes poorly because it holds one upload at a time. 'archive_identifiers' lists scans of the work: pass one to get_item, or use it to read the book itself. Use this to identify a work, and search_inside to find a phrase within one.