JSON Scout
Get Structured Data from Unstructured Content.
JSON Scout launched on May 19, 2024 with 9 votes, #1,332 of 4,539 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
In the digital age, data is your most valuable asset, but extracting it can be a labyrinth of complexity. Convert your text content to structured JSON data. With AI and without REGEX.
Fetch Insights that Matter
JSON Scout saves development time and maintenance by leveraging the power of LLMs to extract the data you need with human-like precision. The old way of extracting specific data requires you to create a REGEX pattern for a specific data format. This process is time-consuming and requires constant maintenance to keep up with changing data formats. Keep in mind, it won't consider typos. JSON Scout eliminates the need for REGEX patterns, saving you time and effort. With JSON Scout you can extract data without the need for REGEX patterns. Simply provide the desired output and JSON Scout will handle the rest. JSON Scout is more accurate and efficient than REGEX, saving you time and effort. Stop…from jsonscout.com
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Tabstack Structured ExtractionJun 2026 · tabstack.ai · ▲199Extract web data into structured JSON, no scraper required.
- ATAnything To JSON – a language model for structured extraction2024 · anythingtojson.com · ▲18
Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
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Source: Product Hunt launch ↗
