For developers building GTM and market-research agents, Zyte is a full-stack web scraping API that manages proxies and browser rendering and delivers structured, ready-to-use data, so teams don't have to run their own scraping infrastructure.

Presence & Market Position

SOV Score

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Zyte is positioning itself as the web-data infrastructure behind research, market intelligence, and agent workflows that need reliable access to difficult sites. Its broader GTM conversation remains early, with a quieter footprint outside developer and scraping circles. Current product activity pairs managed proxies and browser rendering with automatic structured extraction, while newer agent tools help developers generate and improve spider code. That gives Zyte a focused role in the retrieval layer beneath GTM and research systems without shifting the product away from its long-standing web-scraping foundation.

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Customers

Debunk EU, RankTank, Intelligo

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Business Profile

Founded in 2010, Zyte is an independent, 234-person web-data company with $3 million in funding and $37.8 million in reported 2026 revenue. The business grew from the Scrapy and Scrapinghub ecosystem before adopting the Zyte name in 2021. It now combines managed data extraction services with a self-serve API, proxy infrastructure, browser automation, and automatic extraction. Its continuing connection to Scrapy anchors the commercial platform in a widely used open-source scraping ecosystem.

Founded
2010
Employees
234
Funding
$3M
ARR
$37.8M (2026)
Status
Independent
Scale stage
Growth
GTM Categories
GTM Developer ToolsWeb Search & Scraping

Agent Readiness

68B
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Zyte’s agent strategy centers on its Extraction API, which combines browser automation, proxy handling, and structured extraction, including custom attributes generated from a supplied schema. Current developer tooling also includes agent skills and coding integrations for writing and testing scraping code. The public build-out is concentrated on API and coding-agent workflows; no public MCP server is documented.

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