Tabstack

Tabstack is a web data and browser automation API platform for extracting structured data, running cited web research, and automating live browser tasks from a URL, schema, question, or prompt.

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What Tabstack is

Tabstack is a web data and browser automation API platform that lets developers extract structured data, run web research, and automate browser tasks through one API call. The site frames it as a way to get output in the form you need without managing LLM orchestration, browser infrastructure, or data pipelines.

Its core workflow is straightforward: pass a URL, schema, question, or task, and Tabstack handles the page access, reasoning, and response formatting. The available endpoints cover JSON extraction, Markdown extraction, structured generation, cited research, and browser automation, making the product useful for teams that need live web data or repeatable web actions inside their apps or agents.

Features

Schema-driven JSON extraction

Pass a URL and a JSON schema, and Tabstack returns data that matches the shape you defined. The source pages say this works on server-rendered, client-rendered, and JS-heavy pages.

Structured generation from page content

Use `/generate/json` when you need structured output that involves reasoning, not only field pulling. The site says you can combine a URL with custom instructions and a schema.

Markdown output for page content

Extract clean Markdown from pages for downstream LLM or RAG workflows. The site positions this as a way to turn articles, docs, and product pages into readable input without maintaining a scraper.

Cited web research

Run a research agent that searches the live web and returns cited answers. The page says source selection, reading, synthesis, and citation all happen inside the call.

Browser automation on live sites

Describe a browser task in plain language and let Tabstack carry it out on the live page. The browser flow can navigate, click, fill forms, and complete multi-step tasks.

Operational controls and streaming

The site documents controls such as `nocache`, `effort`, and `geo_target`, plus streaming over SSE for research and interactive automation mode. These controls are presented as ways to tune freshness, cost, and region-specific fetching.

Use Cases

Competitive intelligence
Monitor competitor pricing, packaging, and positioning on a schedule, then feed the results into a dashboard or internal analysis tool as structured JSON.
Lead enrichment
Enrich inbound leads by turning a company domain into fields such as headcount, tech stack, funding, or ICP fit. The site presents this as a pipeline use case rather than a one-off scrape.
Research assistants
Build an in-product research feature that answers questions from the live web and includes citations on each claim. This is suited to tools that need traceable summaries rather than uncited search results.
Browser task automation
Complete booking, checkout, or form workflows on third-party sites by describing the task in plain language. The automation flow can handle navigation, clicking, form filling, and multi-step completion.
Knowledge base ingestion
Convert documentation, product pages, or articles into clean Markdown for ingestion into a RAG or knowledge base pipeline. This avoids maintaining a custom scraper for every site layout.

Pros and Cons

Pros

Covers multiple web workflows in one platform: extraction, Markdown conversion, research, and automation.
Supports schema-based outputs, which is useful when downstream systems need predictable JSON.
Includes cited answers for research, which helps with traceability in web-based research flows.
Offers live browser automation for sites that do not have an API.
Shows client options beyond plain HTTP, including SDKs and CLI/MCP references on the site.

Cons

The rendered pricing details provided here are incomplete for the Pro plan, so buyers may need to check the pricing page or docs for full plan comparison.
The site shows several capabilities, but the evidence provided here is partial, so some implementation details and limits are not fully visible from these pages alone.

FAQ

What can Tabstack do?

Tabstack supports extracting structured JSON from a URL with a schema, generating structured answers from a URL and instructions, and automating browser tasks from plain-language prompts. The source pages show API endpoints for `/extract/json`, `/extract/markdown`, `/generate/json`, `/research`, and `/automate`.

Which integrations or client options are mentioned?

The source pages show a TypeScript SDK, Python SDK, MCP, and CLI, and the home page says you can add it to an agent in about 30 seconds. The site also points to documentation for setup details.

What kind of output does Tabstack return?

Tabstack returns schema-matched JSON for extraction, clean Markdown from pages, cited research answers, and completed task results from browser automation. The examples on the site also show streaming research and automation events.

Does Tabstack have free or paid plans?

The pricing page shows a free trial with 10,000 free credits. It also shows a free Individual plan, a Team plan, and a Pro plan label, but the rendered text provided here does not include the full Pro details.

Quick Facts

Category: Developer Tool
Product type: Web data and browser automation API
Core endpoints: `/extract/json`, `/extract/markdown`, `/generate/json`, `/research`, `/automate`
Client options: TypeScript SDK, Python SDK, MCP, CLI
Pricing evidence: Free trial with 10,000 credits; Individual plan shown on pricing page
Source domain: tabstack.ai