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Web ScrapingLow code
Updated on Apr 3, 2025

15+ Best Low-Code & No-Code Web Scrapers to Use [2025]

No-code web scrapers can be classified into the following types:

  • Interactive no-code scrapers: Provides a graphical interface, often with drag-and-drop or point-and-click functionalities.
  • No-code scrapers with ready-made scripts: Offers ready-to-use templates or scripts for scraping.

See the best no-code and low-code web scrapers:

Top no-code/ low-code scrapers with ready-made scripts

Last Updated at 03-27-2025
VendorType*Starts from/moFree trial
Bright DataNo code$4997 days
SmartproxyNo code$297 days
Oxylabs

Low code
No code

$497 days (5,000 requests)
Zyte

Low code
No code

$100Custom
Apify

Low code
No code

$49$5 free usage
NimbleNo code$1507 days
ScrapingBeeNo code$491,000 API credits
ScraperAPINo code$491,000 API credits

Table features explained:

Type*:

Some no-code scrapers with pre-built scripts also provide low-code capabilities, allowing users to customize their scraping process with minimal coding expertise. By simply inputting a URL or query, users can scrape the desired data, while still having the flexibility to fine-tune their scrapers with limited technical knowledge. Here’s why we categorize these no-code solutions as also low-code:

  • Apify: Offers “Actors” in the Apify Store, a collection of pre-built web scrapers that users can configure the code to suit their specific needs.
  • Oxylabs: Provides a web scraper API feature called as OxyCopilot that lets users extract specific fields, such as product name, price, availability, and rating, from a URL. With prompt engineering, users can adjust request parameters like localization, JavaScript rendering, and parsing.

Top interactive no-code scraping tools

Last Updated at 12-06-2024
VendorStarts from/moFree trial
Octoparse$99Free plan (10 projects)
ParseHub$189Free plan (5 projects)
Simplescraper$39Free plan
Webautomation.io$7414 days
WebScraper.io$50Free plan
Hexomatic$497 days
Axiom.ai$15$5 free usage
ScrapeStrorm$50Free plan

FAQs about no-code and low-code web scrapers

What is a no-code web scraper?

A no-code web scraper (or instant data scraper) is a tool that relies on point and click interface functionalities to scrape structured data. Users can point and click to select elements on a web page they want to extract. These web scraping tools are often used by people with limited technical skills who need to extract data for tasks like market research, content aggregation, or lead generation.

What is a low-code web scraper?

A low-code web scraper enables users to create web scraping tasks with little to no coding. These web data collection platforms streamline the scraping process by providing pre-built modules and templates.

How scalable are no-code and low-code web scrapers?

Both no-code and low-code web scrapers can scale, but their scalability largely depends on the specific tools used. No-code web scraping tools are typically suitable for smaller to medium-sized projects, but may struggle with large-scale web scraping projects. On the other hand, low-code scrapers generally offer better scalability.

How to choose a no-code web scraper?

  1. Scalability and Performance: Define the scope of your data scraping project clearly, and confirm that the no-code web scraper is capable of processing large datasets efficiently without sacrificing speed or accuracy.
  2. Data Storage & Export: Ensure that the tool delivers the extracted data in the required formats, such as CSV, JSON, XML, or others that fit your use case.
  3. Usability and Onboarding: Assess how beginner-friendly the tool is. An ideal no-code scraper should offer a straightforward setup process, complete with guided tutorials and a smooth onboarding experience.
  4. Customer Support: Ensure the tool provides reliable customer service options, such as live chat, email support, or an active user community, to assist you when issues arise.
  5. Key Features: Look for essential functionalities, including support for pagination, proxy rotation, CAPTCHA resolution, handling JavaScript-loaded content, task scheduling, and flexible options for storing scraped data.

Why choose no-code tools for web scraping?

No-code tools for data extraction are chosen particularly because they offer a simpler, more accessible approach to collecting data for non-technical users. Most no-code tools platforms come with built-in features such as proxy management, scheduling, and pre-configured templates for scraping popular websites.

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Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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1 Comments
Robert Balazsi
Jan 23, 2022 at 18:10

Great list, Alamira!

I’m an indie maker building DataGrab, another no-code scraping tool. Would you mind adding it as well? 🙂

Cem Dilmegani
Jan 23, 2022 at 21:19

Hi Robert, thank you for the heads up! Could you please sign up @ https://grow.aimultiple.com so we can collect data on DataGrab and decide whether to feature it

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