scrape.new

Automatic web data extraction in seconds, no scraping setup required.

4.8 (4)

Pārskatījis Daniel Nikulshyn·Atjaunināts 2026. g. maijs

Lead Generation Automation Web Scraping Research No-Code Developer Tools Data Extraction

Pārskats

scrape.new is a web data extraction tool that aims to pull structured information from websites with minimal configuration. Users point it at a target page or site, and the service identifies and returns the relevant data automatically, removing much of the manual selector work traditional scrapers require. The tool is geared toward developers, analysts, and operators who need quick access to web data for research, lead generation, price monitoring, or feeding downstream applications. By automating the extraction step, it shortens the path from a URL to usable structured output.

Galvenās funkcijas

Automatic data extraction from URLs
Structured output for downstream use
Quick on-demand scraping workflow
Works without writing selectors or code
Suitable for ad hoc data collection

Lietošanas gadījumi

Rapid Lead List Building

Point scrape.new at directory or listing pages to automatically extract contact details and company information into structured output for sales prospecting.

Competitor Price Monitoring

Pull product and pricing data from e-commerce pages on demand without writing custom selectors, enabling quick competitive analysis.

Research Data Collection

Analysts can quickly gather structured information from multiple URLs for market research or prototyping, skipping the manual scraper setup.

Feeding Downstream Applications

Developers extract structured data from target sites and pipe it into dashboards, databases, or AI workflows without maintaining scraping code.

Plusi un mīnusi

Plusi

Fast setup with little manual configuration
Automatic detection of relevant page data
Useful for quick research and prototyping
Reduces need to write custom scrapers

Mīnusi

May struggle with highly dynamic or protected sites
Less control than hand-written scraping scripts
Output quality depends on page structure

Atsauksmes

4.8

Vidējais no 4 vērtējumiem.

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Ahmed Saleh

Use it every day

Honestly didn't expect to like it this much. Automatic data extraction from URLs is exactly what I needed, and automatic detection of relevant page data. but I reach for it almost every day now and it just clicks.

Pierre Dubois

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on works without writing selectors or code, and fast setup with little manual configuration caught me off guard. Output quality depends on page structure is why this isn't a perfect score, still, I'd recommend giving it a real trial.

George Papadakis

Solid for our team

We rolled this out across the team last quarter and fast setup with little manual configuration. Structured output for downstream use fits neatly into how we already work, and works without writing selectors or code removed a step we used to do by hand. but it has held up under daily use.

Nadia Petrova

Solid for our team

We rolled this out across the team last quarter and automatic detection of relevant page data. Structured output for downstream use fits neatly into how we already work, and works without writing selectors or code removed a step we used to do by hand. but it has held up under daily use.