Scrapy vs import.io

Overview

import.io

Stacks40

Followers91

Votes24

Scrapy

Stacks244

Followers243

Votes0

GitHub Stars58.9K

Forks11.1K

Scrapy vs import.io: What are the differences?

Scrapy vs. import.io: Scrapy is an open-source and collaborative web crawling framework used for extracting the data from websites whereas import.io is a web scraping tool that allows users to turn websites into structured data.
Customization: Scrapy offers more customization options as it requires programming knowledge to create custom spiders for specific websites, while import.io provides a more user-friendly interface for creating extractors without the need for coding.
Scalability: Scrapy is suitable for large-scale web scraping projects as it allows users to scale up according to their requirements by running multiple spiders concurrently, whereas import.io may not be as efficient for handling massive amounts of data due to its limitations on simultaneous extraction.
Cost: Scrapy is free to use as it is an open-source framework, whereas import.io offers both free and paid plans with restrictions on data limits and advanced features based on the subscription chosen.
Data Output Formats: Scrapy allows users to export scraped data in various formats like JSON, CSV, or XML, giving flexibility in data processing, while import.io primarily exports data in CSV or Excel formats with limited options for data manipulation.
Learning Curve: Scrapy has a steeper learning curve due to its requirement of programming skills and familiarity with Python, while import.io is more user-friendly and suitable for beginners or users with limited technical background.

In Summary, Scrapy and import.io differ in customization options, scalability, cost, data output formats, and learning curve.

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CLI (Node.js)

Manual

Detailed Comparison

import.io	Scrapy
import.io is a free web-based platform that puts the power of the machine readable web in your hands. Using our tools you can create an API or crawl an entire website in a fraction of the time of traditional methods, no coding required.	It is the most popular web scraping framework in Python. An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
Real-time data extraction; website automation; Automatic webpage conversion into data (Magic); crawling; bulk extract; authentication; REST API	-
Statistics
GitHub Stars -	GitHub Stars 58.9K
GitHub Forks -	GitHub Forks 11.1K
Stacks 40	Stacks 244
Followers 91	Followers 243
Votes 24	Votes 0
Pros & Cons
Pros 8 Easy setup 5 Free lead generation tool 5 Native desktop app 3 Features based on users suggestions 3 Continuous updates	No community feedback yet
Integrations
Plotly.js	No integrations available

What are some alternatives to import.io, Scrapy?

ParseHub

Web Scraping and Data Extraction ParseHub is a free and powerful web scraping tool. With our advanced web scraper, extracting data is as easy as clicking on the data you need. ParseHub lets you turn any website into a spreadsheet or API w

ScrapingAnt

Extract data from websites and turn them to API. We will handle all the rotating proxies and Chrome rendering for you. Many specialists have to handle Javascript rendering, headless browser update and maintenance, proxies diversity and rotation. It is a simple API that does all the above for you.

Octoparse

It is a free client-side Windows web scraping software that turns unstructured or semi-structured data from websites into structured data sets, no coding necessary. Extracted data can be exported as API, CSV, Excel or exported into a database.

Kimono

You don't need to write any code or install any software to extract data with Kimono. The easiest way to use Kimono is to add our bookmarklet to your browser's bookmark bar. Then go to the website you want to get data from and click the bookmarklet. Select the data you want and Kimono does the rest. We take care of hosting the APIs that you build with Kimono and running them on the schedule you specify. Use the API output in JSON or as CSV files that you can easily paste into a spreadsheet.

BeautifulSoup

It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.

Apify

Apify is a platform that enables developers to create, customize and run cloud-based programs called actors that can, among other things, be used to extract data from any website using a few lines of JavaScript.

diffora.io

AI-powered web page monitoring with support for HTML and JS-rendered pages. Get instant alerts and readable summaries of what changed.

RTILA

Home Download Features Pricing Marketplace Support DiscoverVibe Web Scraping & Vibe Ai Automation For Agencies & Enterprises Build Ai powered Automation Infrastructure & deploy it as Agentic Software, SaaS or DataSets Strategic Partners OS Compatibility Browser Compatibility Demos of how to create &

SociaVault

Provides developers with a comprehensive REST API to extract real-time data from 25+ social media platforms including Instagram, TikTok, Twitter/X, YouTube, LinkedIn, and Facebook. Build analytics dashboards, monitor competitors, conduct market research, and power AI/ML applications with fresh social media data.

Portia

Portia is an open source tool that lets you get data from websites. It facilitates and automates the process of data extraction. This visual web scraper works straight from your browser, so you don't need to download or install anything.

Related Comparisons

Scrapy vs import.io: What are the differences?

Scrapy vs. import.io: Scrapy is an open-source and collaborative web crawling framework used for extracting the data from websites whereas import.io is a web scraping tool that allows users to turn websites into structured data.
Customization: Scrapy offers more customization options as it requires programming knowledge to create custom spiders for specific websites, while import.io provides a more user-friendly interface for creating extractors without the need for coding.
Scalability: Scrapy is suitable for large-scale web scraping projects as it allows users to scale up according to their requirements by running multiple spiders concurrently, whereas import.io may not be as efficient for handling massive amounts of data due to its limitations on simultaneous extraction.
Cost: Scrapy is free to use as it is an open-source framework, whereas import.io offers both free and paid plans with restrictions on data limits and advanced features based on the subscription chosen.
Data Output Formats: Scrapy allows users to export scraped data in various formats like JSON, CSV, or XML, giving flexibility in data processing, while import.io primarily exports data in CSV or Excel formats with limited options for data manipulation.
Learning Curve: Scrapy has a steeper learning curve due to its requirement of programming skills and familiarity with Python, while import.io is more user-friendly and suitable for beginners or users with limited technical background.

In Summary, Scrapy and import.io differ in customization options, scalability, cost, data output formats, and learning curve.

Scrapy vs import.io

Overview