What is natural language browser automation?

Natural language browser automation lets you control a browser by describing the goal in plain English instead of writing selector-based code. Instead of page.click('#search-btn'), you describe the task: "Search for iPhone 16 Pro Max and click the first result." An AI agent interprets the prompt, locates the relevant elements, and executes the required actions (clicks, typing, navigation, waiting) automatically. The term "vibe scraping" refers to this same pattern applied to data extraction: sketching what you want in natural language and letting the agent figure out the mechanics.

Natural language automation is well-suited for exploratory tasks (finding data on a site you have not scripted before), rapid prototyping (sketching a workflow before writing a code-based version), and workflows where page structure changes frequently enough that selector-based scripts break. For tasks requiring deterministic, high-frequency execution, code-based automation is more reliable: interpreted prompts can misread ambiguous instructions, while explicit selectors always target the same element.

Firecrawl's /interact endpoint supports natural language prompts natively: describe the action in plain English and the agent handles the clicks, typing, and navigation. The same endpoint also accepts Playwright code directly, so you can start with a prompt and convert it to code once the workflow is stable.