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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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- Easy setup8
- Native desktop app5
- Free lead generation tool5
- Continuous updates3
- Features based on users suggestions3
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What is import.io?
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.
What is Scrapy?
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.
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What companies use Scrapy?
What companies use import.io?
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What tools integrate with import.io?
What tools integrate with Scrapy?
What tools integrate with Scrapy?
What are some alternatives to import.io and Scrapy?
Diffbot
Our APIs use computer vision, machine learning and natural language processing to help developers extract and understand objects from any Web page. We've determined that the entire Web can be classified into approximately 18 structural page types. From this basic understanding of common page layouts, Diffbot then uses computer vision, natural language processing and other machine learning algorithms to identify and extract the important items from within these pages.
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.
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
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.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.