Riveter
Agentic extraction tools use AI models (often vision-language models) to autonomously understand and interact with web pages. Instead of writing CSS selectors or XPath queries, you describe what data you want in natural language and the AI figures out how to get it. This approach is more resilient to website changes and can handle complex, multi-step extraction workflows.
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How Riveter compares
Frequently asked questions
How much does Riveter cost?
Riveter is a paid product. It does not publish standard pricing tiers on its site, so plans are quoted on request. There is no advertised free tier. Because the pricing page is the only public source, confirm current rates and terms at riveter.ai/pricing before you commit any budget, and ask how usage is metered for the volume of pages or rows you expect to process.
Is Riveter open source or self-hostable?
No. Riveter is closed-source, hosted SaaS with no self-hosted or on-premise option. You reach it through its web app and API, and the extraction runs on Riveter's infrastructure. If you need extraction to run inside your own environment for compliance or data-residency reasons, Riveter will not fit. An open or self-hostable tool such as Firecrawl is a better starting point in that case.
Does Riveter render JavaScript and return structured data?
Yes. Riveter handles JavaScript-heavy pages and returns structured output that you define by writing a prompt for each field, rather than maintaining selector code. Its headline idea is self-evolving workflows that adapt when target sites change, which is meant to cut maintenance. That claim is the main thing to validate against your own sites, since public documentation is still thin.
What is Riveter best used for?
Riveter fits teams enriching tabular data at scale: add a column, describe the field in plain language, and the agents fill rows from the open web. Its public positioning leans toward KYC and risk or compliance data, which is where its early enterprise traction sits. It suits builders who want extraction described as prompts instead of maintained as scraper code.
How does Riveter compare to Diffbot?
Both turn web pages into structured data, but they get there differently. Diffbot is an established platform built on a knowledge graph and machine-extraction APIs, with deep documentation and a long track record. Riveter is younger and uses prompt-driven, self-evolving workflows, with thinner public docs. Choose Diffbot for proven scale and entity data. Consider Riveter when you want prompt-defined extraction over spreadsheet rows.
What are the best alternatives to Riveter?
The closest alternatives are Diffbot, parse.bot, and Firecrawl. Diffbot is the mature option for large-scale structured web data backed by a knowledge graph. parse.bot is the nearest match for prompt-described extraction workflows. Firecrawl fits teams that mainly need clean, LLM-ready page content and crawling, often self-served and with an open-source core. Pick based on whether you prioritize scale, prompt-driven setup, or open tooling.
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