GhostCrawl is a web data extraction tool built around production-grade browser engines. It is described as extracting structured data from any website and producing clean, faithful, well-formed output at scale. The product page frames it as a way to move through the web like a ghost, with real browsers handling pages as a real visitor would.
Its core distinction is the use of real Chrome, Firefox, and WebKit rendering. The page says these engines render every page like a real visitor, and that every endpoint runs through the same real browser engines with consistent device profiles. GhostCrawl also advertises one API and one balance, with hard targets routed through a premium network automatically. The page presents supported actions or lanes including scrape, content, search, extract, navigate behavior, crawl, map, screenshot, pdf, sessions, and stream. It also shows live use with a /v1 lane and example SDKs or clients for Python, Node.js, Go, Java, Ruby, PHP, C, and cURL.
The service is shown as an API product with an open beta and an early access prompt. It says users pay for pages, not attempts, and that there is no need to buy proxies or fight blocks. The page also includes product, engines, proof, examples, pricing, and blog links, and a sign-in area. No pricing numbers, license terms, or company details are stated on the page excerpt.
GhostCrawl is an Analytics (BI, web, product) project. It focuses on extracting structured, reliable data from any website at scale without dealing with proxies or anti-bot measures. It is built as a B2B product for data engineers and growth teams. GhostCrawl is paid, starting at $49. It ships for the web, the command line, and API.
GhostCrawl builds and maintains GhostCrawl, and it first shipped in 2026. Development happens publicly on GitHub with 5 commits in the last 90 days. Key capabilities include web scraping, structured data extraction, and browser engine emulation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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