PulpMiner can turn any public webpage into a real-time, clean JSON API, all without writing scraping code or maintaining infrastructure. Its core workflow requires just three steps: first, paste the URL of the webpage you want to extract data from; then, AI automatically analyzes the page structure and generates a structured JSON Schema; finally, you get a unique endpoint URL that returns the latest structured data from the original webpage every time it is called. The official claim is that going from URL to API can be completed within 60 seconds.
Main capabilities include: AI-driven intelligent extraction, able to understand page structure and accurately output the required JSON; dynamic URL variables, allowing certain parts of the URL to be set as dynamic parameters so that one endpoint can cover multiple pages; real-time data return, with every API call fetching live data rather than using stale cache; optional content caching, providing faster responses for frequently accessed pages and reducing credit consumption; secure API keys, with each endpoint protected by a unique key and access permissions controllable; support for JavaScript rendering, able to handle single-page applications and dynamic content.
In terms of usage, users do not need to code. They can create an API by entering the URL and the desired JSON format through the web interface, and then call that endpoint in their application. PulpMiner also provides multiple integration methods: a Google Sheets add-on (no API key or formulas required, using AI to convert an entire column of URLs into structured data), an n8n node (one-click installation, supporting GET and POST, enabling real-time data retrieval in workflows), and a native Zapier app (able to pass structured webpage data to thousands of applications).
Applicable scenarios include: price monitoring (tracking product prices across multiple stores in real time), news aggregation (building custom feeds from multiple sources), market research (monitoring competitors and industry trends), real estate data (collecting listings and market trends), recruitment market analysis (aggregating job postings and salary data), education tracking (monitoring courses and pricing across platforms), and more.
Regarding pricing, the official statement says it uses simple and transparent pricing, with no subscription required, credits that never expire, and the ability to use it at your own pace; for teams that need larger-scale capabilities, it offers custom pricing, dedicated support, SLA guarantees, enhanced crawlers, and low-latency LLMs, but specific price figures are not provided for now. In terms of limitations, the information only states that it is suitable for any public website and does not provide other explicit limitations.
