URL-to-Text Conversion via r.jina.ai

Jina Reader converts a normal web address into an LLM-friendly response using the r.jina.ai prefix, returning the page's content as text instead of raw HTML markup. A Beam agent uses this when a workflow needs the contents of a page, such as an article, a product listing, or a documentation page, without parsing tags or scripts itself. The agent fetches the converted text and writes it into the record or field the workflow needs it in, such as a research note. Pages that return an error, a paywall notice, or unexpectedly short output are flagged and routed to a person to check manually.

Markdown-Style Output for LLM Input

Rather than passing raw HTML into a language model, Jina Reader reformats a page's content into a simpler, markdown-style layout that keeps headings and paragraphs readable. A Beam agent requests this version when a downstream step, such as a summary or a classification, needs plain input rather than tags and scripts. The formatted text is written into whatever field or document the workflow expects it in, ready for the next step without manual cleanup. Pages that come back mostly empty, mostly navigation, or missing the expected content are set aside and routed to a person to open the original page and check what went wrong.

No-Scrape Content Access

Because Jina Reader handles the retrieval and cleanup of a page, a Beam agent never needs its own scraping logic or a headless browser to get a page's content. The agent requests a URL through the r.jina.ai prefix on a schedule or when a new link appears in a queue, and applies the approved rule for what happens next, such as saving the text to a document or comparing it against a previous version. Where the content fits expectations, the record updates without a person involved. Where a page has changed structure or returns nothing usable, it is routed to a person first.