A no-code scraper is a web scraping tool that extracts data from websites without writing code.
Instead of building a Python script or working with APIs, you configure the scraper with a form, a visual selector, a template, or a natural language prompt.
Types of no-code scrapers
No-code scrapers usually fall into three groups:
- Template scrapers for known websites
- Visual scrapers where you click page elements
- AI scrapers where you describe the data to extract
Each type has tradeoffs. Templates are fast when your target website is supported. Visual scrapers work well on stable layouts. AI web scraping works well when the page is readable but the structure changes.
📌 Short version
A no-code scraper removes the coding step. You still need to define the page, the fields to extract, and how to handle pagination.
When to use a no-code scraper
Use a no-code scraper when you need to collect:
- Directory listings
- Ecommerce products
- Reviews
- Job posts
- Company pages
- Contact details from public pages
- URLs before enrichment
For large websites, start with sitemap scraping when possible. For Google research, use Google search scraping.
Datablist no-code scraping workflows
Datablist includes several no-code scraping tools:
- Website AI Scraper for prompt-based extraction
- Sitemap Scraper for URL inventories
- Google Multi Queries Scraper for search results
- Smart Scraper for CSS selector and regex extraction
After scraping, clean and enrich the data in the same workspace with data cleaning, deduplication, and waterfall enrichment.