Datavist

Pay-as-you-go AI web data extraction API and SDKs that auto-navigates pages, extracts structured data, and provides monitoring for $0.01/page.

Development

Published: 26 days ago

LLM Platform AI Agent AI Automation Tools

What is Datavist?

Pay-as-you-go AI web data extraction API and SDKs that auto-navigates pages, extracts structured data, and provides monitoring for $0.01/page.

About Datavist

Lumecoder

Official-parity experience, lower price, higher value, 5-10x better value.

Get Featured Visit

Today's Hot Products

Next update in

Tonkotsu

Manage a team of coding agents from a doc

339

Krisp Mobile Call Recorder

Record outgoing calls and get transcripts + AI notes

284

PayPing

All your recurring stuff. Finally in one place

221

nlsh

talk to your terminal in natural language

182

Kids Cash Register

A POS system for kids to play pretend restaurant/shopping.

175

Usagebar

Track Claude Code Usage from your Menu Bar

151

Qwen3-TTS

Voice design, cloning & 97ms streaming

145

Preloop

The MCP Governance Layer

118

Forge Agent

Swarm Agents That Turn Slow PyTorch Into Fast GPU Kernels

116

DropTidy

Remove sensitive photo data, 100% client-side & zero uploads

115

Products similar to Datavist

TestDriver

AI-powered QA testing agent automating test generation and maintenance for various applications.

Top AI Coding Tools

A curated list of AI-powered coding tools and assistants for developers in 2025.

AI Just Better

A curated directory of the best AI tools, compared and reviewed to help you find better alternatives.

Auto Directory Submission

Auto Directory Submission is an intelligent Chrome extension that automatically fills any directory submission form with AI-powered precision.

Top AI Directories

A curated list of AI tool directories to help discover and submit AI products.

PartGenie

AI-powered platform for electronics component search, BOM management, and sourcing with a verified database of 22M+ parts.

Datavist — AI-powered web data extraction

Datavist is a developer-focused service that uses agentic AI to navigate websites, extract structured data, and monitor changes with a simple pay-as-you-go model ($0.01/page). It exposes an API and SDKs (JavaScript, Python, etc.) so you can integrate reliable web scraping, content parsing, and automated site navigation into applications without writing complex selectors or XPath.

Key technical features:

API + SDKs: REST API with client libraries (JS, Python) for fast integration and automation.
Agentic extraction: Natural-language prompts (optional) let the agent infer the best extraction strategy and navigate multi-step interfaces (tabs, modals, forms).
No schema required: Datavist can auto-detect entities and structure, or accept custom prompts to control output formatting.
Auto-navigation & JS support: Handles interactive and JS-rendered pages to reach data behind dynamic UI flows.
Monitoring & alerts: Scheduled crawls, change detection, and notifications via email or webhooks when jobs complete or content changes.
Pay-as-you-go pricing: Simple billing at $0.01 USD per page; deposit-based usage.
Screenshots & diagnostics: UI screenshots and thumbnails for project dashboards and results.

Practical use cases:

Market intelligence and price monitoring across multiple product pages.
Job board aggregation and structured extraction of listings.
Contract and legal-document parsing (extract parties, dates, obligations) via natural language prompts.
Research and data collection from complex layouts (tabs, modal dialogs, pagination).
Building datasets from multiple sources and automating periodic crawling/alerts.

Target users:

Developers and data engineers who need a turnkey web-extraction API.
Product and market teams needing regular monitoring and structured datasets.
Legal and research teams extracting clauses, definitions, and key terms without manual parsing.

Notes and limitations:

Agentic (custom prompt) extractions are powerful but more prone to errors or hallucinations; validate critical outputs.
Best suited for teams wanting rapid setup via API/SDK rather than building bespoke scrapers.