Webscrape AI provides a developer‑focused SDK that extracts structured data from any web source—URLs, HTML, Markdown, or PDFs—through a deterministic six‑stage pipeline. Users can request data in plain English via AI Agent Extraction or record interactions with SmartBrowse, while built‑in content reduction and schema enforcement cut latency and ensure JSON‑compliant results.
Funding
Funding not disclosed
Founders
Product
Problem
Web developers and data teams spend extensive time building and maintaining brittle scraping pipelines that rely on fragile selectors, proxy management, and custom cleaning code, leading to frequent breakage when sites change and high operational costs.
Solution
Webscrape AI offers a single SDK/API that abstracts the entire web extraction stack into a deterministic six‑stage pipeline. Users submit a URL (or raw HTML/Markdown/PDF) together with a plain‑English prompt or JSON schema, and the service fetches the page, cleans and reduces content with a local NLP layer, extracts structured data via AI agents, validates against the schema, and returns clean JSON. The platform includes a visual SmartBrowse recorder that captures navigation steps and replays them on real Chrome without writing selectors. Automatic retries, backoff handling, and a repair pass ensure high first‑attempt success rates, while content reduction cuts latency and processing costs by up to 80%.
Target Audience
Primary customers are developers and data engineers building product feeds, dashboards, or large‑scale web‑scraping pipelines who need reliable, schema‑validated data without managing selectors, proxies, or headless browsers.
Features
- Unified endpoint supporting URLs, raw HTML, Markdown, and PDFs for all extraction needs
- AI Agent Extraction that interprets natural‑language prompts to produce exact structured fields
- SmartBrowse visual recorder/replayer for click‑through and pagination flows without code
- Intelligent chunking and local NLP content reduction that removes navbars, ads, and noise, reducing data size by up to 80%
- Schema Enforcement with automatic repair pass to guarantee JSON‑Schema‑validated output
- Auto‑recovery with exponential backoff retries; failed fetches are not billed
- Deterministic six‑stage pipeline (fetch, clean, reduce, extract, validate) with median latency ~520 ms