serp.fast

Prompt-driven web research that builds and enriches spreadsheet rows

Nathan Kessler
By Nathan KesslerUpdated

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

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What is Riveter?

AI data assistant for spreadsheets that builds and enriches rows of companies, people, and other entities by researching the open web from plain-language prompts.

Our verdict

Riveter is an AI data assistant for spreadsheets: add a column, describe the field in plain language, and its agents fill rows by researching the open web. It leads with GTM and sales enrichment and competitive research, and is backed by Y Combinator (F24). Describing each field as a prompt removes selector maintenance, but output quality depends on what the open web exposes for each query, so verify accuracy on your own columns before trusting it at scale. It is closed-source and hosted, with no self-host path.

Categories:

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.

Share:

Turns any website into LLM-ready markdown via a single API

Freemium155K+Web Crawl & Data Extraction APIs

Vision and NLP parsing behind a 10-billion-entity knowledge graph

PaidMar 2026Agentic Extraction

Describe the data you need and get a REST API for any site

FreemiumMar 2026Agentic Extraction

How Riveter compares

Diffbot

Diffbot's knowledge graph provides similar adaptive extraction with 10+ years of production validation.

parse.bot

parse.bot is closer if you want to describe a scraper in a prompt, while Riveter focuses on enriching spreadsheet rows.

Frequently asked questions

How much does Riveter cost?

Riveter is freemium. There is a free starting allowance of credits, then paid plans and pay-as-you-go credit packs, with custom pricing for larger teams. Work is metered in credits, so the number that matters is how many credits a row or lookup consumes for your data. Confirm current tiers and the credit-to-row ratio at riveterhq.com/pricing before you commit budget.

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 reaches content on live web pages and returns structured rows that you define by describing each field in plain language, rather than maintaining selector code. Because each field is a prompt, you refine wording instead of rewriting extractors when a source changes. Validate the results against your own sources, since accuracy depends on what the open web exposes for each query.

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 GTM and sales enrichment and competitive research. It suits builders who want web research 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 prompt-driven, aimed at enriching spreadsheet rows rather than returning raw entity data. Choose Diffbot for proven scale and entity data. Consider Riveter when you want prompt-defined enrichment 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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