Best No-Code Scrapers in 2025

Explore the best no-code web scrapers of 2025, designed to simplify data collection, boost efficiency, and empower businesses without the need for coding expertise.

Best No Code scrapers

Web scraping isn’t just for tech experts anymore; it’s now a straightforward tool for anyone requiring fast access to valuable data. With no-code web scraping tools, you don’t need to know programming to pull useful insights from websites. This shift makes data collection easier and more accessible for businesses, analysts, and engineers, allowing anyone to scrape data without touching complex code.

Here, I’ll explore some of the best no-code web scrapers available in the market, highlighting what makes each stand out and how they can simplify how you gather data. Let’s dive into the best options to help you harness the power of web scraping effortlessly.


What Are No-Code Scrapers?

No-code scraping lets you gather data from websites without writing code or setting up complex systems. Traditional web scraping can be time-consuming, primarily when you deal with CAPTCHAs, anti-bot protection, or IP blocks. No-code scrapers simplify this process. You just upload the URLs you want to scrape, choose from pre-built templates for popular sites, and get your data quickly.

One significant advantage of no-code scraping is the time it saves. With automated tools like Brightdata, you can schedule scraping to run at specific times, so you always have up-to-date information on competitors’ prices, listings, or trends. No-code scrapers make data collection fast and scalable, letting you focus on analyzing valuable insights instead of managing technical hurdles.


8 Best No-Code Web Tools to Scale Data Collection

Looking to collect web data without coding? Here are the top 8 no-code web scraping tools to simplify and scale your data collection. These tools make it easy to gather crucial insights without coding expertise.


1. Bright Data

Bright Data’s No-Code Scraper stands out as one of the most advanced, accessible, and scalable scraping solutions on the market. With features designed for users at any technical level, this tool removes the hurdles of managing proxies, IPs, and blockages, letting users focus solely on gathering quality data. Bright Data is particularly popular among enterprises and data-driven teams prioritizing accuracy, scale, and compliance.

This tool is for reliable, large-scale data collection with built-in infrastructure. With its extensive scraping templates across platforms like LinkedIn, Crunchbase, Indeed, and Instagram, Bright Data provides the flexibility, control, and compliance required for high-demand projects.

Key Features:

  • Bulk Request Handling: Handles large amounts of data seamlessly.
  • Flexible Export Options: Download data in JSON or CSV, making integration straightforward.
  • Free Trial: New users receive credits to explore its full capabilities.
  • Built-In Unblocking Technology: Minimize issues with website restrictions.
  • Industry-Leading Compliance: GDPR and CCPA compliance, with over 20,000 users worldwide.

Pros:

  • Highly compliant with privacy regulations.
  • Advanced unblocking technology for smooth data collection.
  • Extensive template library supports a variety of sites.
  • Flexible export options in JSON or CSV.

Cons:

  • Expensive for smaller projects.
  • Requires some familiarity with scraping processes to maximize utility.

Pricing:

Bright Data offers a pay-as-you-go plan for smaller projects and multiple subscription options for scaling needs. Plans start at $499 monthly for extensive usage and data demands. Bright Data will also match your first deposit, up to $500.


2. Scaper API

ScraperAPI’s DataPipeline is designed for users with high-frequency, large-scale scraping needs, making it ideal for businesses that rely on continuous, scheduled data extraction. The 99% success rate and automated proxy rotation help ensure uninterrupted access to data, even from sites with advanced anti-scraping measures. This tool’s cron scheduling feature allows users to set regular scraping intervals, automating the process so that data flows seamlessly on schedule.

DataPipeline is particularly appealing for users who want to minimize technical hurdles like IP bans and geolocation restrictions, as it handles these complexities automatically. The structured data export in JSON makes it easy to feed clean data into analytics pipelines or storage systems. This tool is valuable for data analysts and project managers overseeing data-intensive applications.

Features:

  • High Success Rate: Offers a 99% success rate, minimizing disruptions.
  • Cron Scheduling and Automation: Run scrapers at specified intervals.
  • Multiple Export Options: Supports JSON exports, ideal for data analysis.

Pros:

  • High success rate in data retrieval.
  • Handles proxy rotation and geolocation.
  • Scalable performance with concurrent threads.
  • JSON export for structured data use.

Cons:

  • No direct CSV export.
  • Higher pricing may deter smaller-scale users.

Pricing:

Starting at $49 monthly, ScraperAPI scales up to meet enterprise needs with custom plans for larger projects.


3. Octoparse

Octoparse is a user-friendly tool for beginners or smaller teams who need quick, easy data extraction without diving into code. The intuitive drag-and-drop interface and pre-set templates mean you can immediately scrap data. It’s ideal for users who need structured data but don’t require extensive customization. With automatic data cleaning via RegEx and flexible export formats like CSV, Octoparse is well-suited for market researchers or small business owners who need straightforward data collection.

The tool’s pricing structure can be challenging for larger projects, especially when needing concurrent requests, so Octoparse is best suited for simple scraping tasks. It’s perfect for capturing website data to track competitor prices or gather product information.

Features:

  • Preset Templates: Quickly apply templates to business cases.
  • Event Log: Tracks and reviews scraping activities.
  • RegEx Cleaning Tool: Automatically cleans data.

Pros:

  • Flexible data export options, including CSV.
  • Preset templates streamline setup.
  • Automatic data cleaning with RegEx.

Cons:

  • Interface can be cluttered.
  • Extra charges for certain features.

Pricing:

Monthly subscriptions start at $99, though costs can rise with high data demands.


4. Phatonbuster

Phantombuster is ideal for sales and marketing professionals focused on lead generation and CRM enrichment from social media platforms. With templates tailored for social media scraping and lead generation, Phantombuster makes it easy to gather leads, enrich contact information, and automate outreach workflows. The tool’s data enrichment features let you augment CRM entries with missing data, helping sales teams better qualify and segment leads.

While it doesn’t support concurrent threads or large-scale scraping, Phantombuster’s intuitive setup and industry-specific workflows make it perfect for social media-driven teams looking to enhance their marketing and lead-generation strategies.

Features:

  • Workflows for Lead Generation: Built-in tools for social media data extraction.
  • Data Enrichment: Enriches CRM with lead information.
  • Export in JSON and CSV: Supports data exports in popular formats.

Pros:

  • Tailored for lead generation on social media.
  • Supports exports in both JSON and CSV.
  • Templates aligned with business cases.

Cons:

  • Limited to lead generation tasks.
  • Slower processing due to lack of concurrent threads.

Pricing:

Starts at $69 monthly for 10,000 credits, ideal for smaller scraping tasks.


5. Apify

Apify is a versatile tool with extensive customization options and scheduling features suited for users who need precise control over their scraping jobs. With various pre-built templates, Apify provides flexibility across different sites, supporting custom scheduling and export formats like JSON, CSV, and HTML. The platform best suits advanced users, research teams, or medium-sized companies needing detailed control over scraping frequency, data format, and automation.

Apify’s structured data outputs make integrating directly into analytics workflows or storage solutions easy. However, the platform’s pricing can be high for users requiring large-scale scraping, so it’s most cost-effective for those needing customized, moderate-scale data extraction.

Features:  

  • Scraping Schedules: Customize scraping intervals.
  • Export in JSON, CSV, and HTML: Flexible data outputs.
  • Library of Templates: Extensive template options.

Pros:

  • Intuitive interface with flexible scheduling.
  • Large library of templates for various needs.
  • JSON, CSV, and HTML export formats.

Cons:

  • Success rate may be inconsistent.
  • Higher costs for high-scale use.

Pricing:

Starts at $49 per month, though advanced plans can be costly with high usag


6. Smartproxy

Smartproxy offers a no-code solution that simplifies web scraping through its user-friendly dashboard and features. It provides pre-made templates, scheduling options, and data exports in JSON and CSV formats. Smartproxy currently offers core scraping templates for Amazon and Google, and users can use its browser extension to scrape other websites. 

This tool is ideal for users seeking an easy-to-use platform for structured data extraction without technical complexities. However, some users have reported glitches when scraping through the dashboard and a limited number of templates.

Features:

  • Scheduling: Allows users to automate scraping at set intervals.
  • Ready-Made Templates: Basic options for scraping Amazon and Google.
  • Download Options: Exports data in JSON and CSV formats.

Pros:

  • Integrates smoothly with workflows
  • Quick and easy setup
  • Flexible export options
  • Provides structured data for easy analysis

Cons:

  • Occasional dashboard issues
  • Limited templates for scraping

Pricing:

Starts at $50 per month with 13,000 requests included.


7. Parsehub

Parsehub is an ideal desktop-based solution for handling smaller scraping tasks without complexity. Its visual interface allows users to select data elements directly on a web page, making it intuitive for non-technical users. While it’s limited in scalability and anti-bot measures, Parsehub is a solid option for ad-hoc scraping needs or small projects where data complexity and volume are low.

Parsehub’s direct integration with Google Sheets for real-time data makes it useful for those needing straightforward data capture in smaller datasets without worrying about coding or extensive configurations.

Features:

  • Automatic Data Collection and Storage: Saves data for easy access.
  • Scheduled Collection: Automates scraping.
  • Google Sheets Integration: Exports directly to Google Sheets.

Pros:

  • Simple, no-code setup.
  • Exports to Google Sheets.
  • Beginner-friendly interface.

Cons:

  • Limited for complex scraping.
  • Must install a desktop app.

Pricing:

Free for light usage, with professional plans starting at $189 per month.


8. Simplescraper

Simplescraper is a lightweight, cloud-based tool that integrates real-time data with Google Sheets and supports webhooks for app connectivity. It’s perfect for users looking for quick and efficient data capture without extensive setup. Simplescraper’s straightforward workflows make it a good fit for those with light scraping needs, especially if they rely on Google Sheets for data management.

Simplescraper is best suited for small business owners, freelancers, or analysts needing real-time data updates with minimal hassle. Its low maintenance and efficient data integration make it a good choice for gathering insights on the fly without overcomplicating the process.

Features:

  • Real-Time Google Sheets Integration: Automatically syncs data.
  • Workflows for Templates: Pre-built templates streamline setup.
  • Webhook Support: Connects with your apps.

Pros:

  • Google Sheets integration.
  • Simple interface with pre-built templates.
  • Suitable for real-time data needs.

Cons:

  • No cron scheduling.
  • Requires desktop app download for use.

Pricing:

Free for limited use; premium plans start at $35 per month.


Conclusion

Selecting the right no-code scraper is vital to efficient, scalable data collection. While Bright Data stands out for large-scale and compliant scraping, tools like Octoparse and Phantombuster serve smaller needs with user-friendly features. Whether you’re a marketer looking to enrich CRM data or an engineer needing bulk data for analytics, no-code scrapers streamline the process, making it accessible and efficient.

For those interested in robust, enterprise-grade solutions, start with Bright Data. It offers one of the most powerful infrastructures for high-quality, on-demand data collection!

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