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import.io VS Apache Thrift

Compare import.io VS Apache Thrift and see what are their differences

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import.io logo import.io

Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

Apache Thrift logo Apache Thrift

An interface definition language and communication protocol for creating cross-language services.
  • import.io Landing page
    Landing page //
    2023-06-12
  • Apache Thrift Landing page
    Landing page //
    2019-07-12

import.io features and specs

  • Ease of Use
    Import.io offers a user-friendly interface that allows users to easily extract data without needing to write code, making it accessible for non-technical users.
  • Data Integration
    The platform provides robust integration options with various analytics and data storage tools, enabling seamless data workflows.
  • Scalability
    Import.io can handle large volumes of data efficiently, making it suitable for both small and large-scale data extraction projects.
  • Speed
    The tool is designed to extract data quickly, minimizing the time required to obtain and process large datasets.
  • Data Transformation
    Offers features for data transformation and cleaning, allowing users to manipulate the data to fit their needs before export.

Possible disadvantages of import.io

  • Cost
    Import.io can be expensive, especially for businesses or users requiring extensive data extraction and processing capabilities.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering the more advanced functionalities can require a significant amount of time and effort.
  • Limited Customization
    There are constraints on customization, which could be limiting for users with complex or highly specific data extraction needs.
  • Occasional Stability Issues
    Users have reported occasional performance and stability issues, which can cause interruptions during data extraction processes.
  • Dependency on Web Structure
    The tool is highly dependent on the structure of the target websites. Any changes in the website's layout can disrupt data extraction processes and require reconfiguration.

Apache Thrift features and specs

  • Cross-Language Support
    Apache Thrift supports numerous programming languages including Java, Python, C++, Ruby, and more, enabling seamless communication between services written in different languages.
  • Efficient Serialization
    Thrift offers efficient binary serialization which helps in reducing the payload size and improves the communication speed between services.
  • Service Definition Flexibility
    Thrift provides a robust interface definition language (IDL) for defining and generating code for services with strict type checking, fostering strong contract interfaces.
  • Scalability
    Due to its lightweight and efficient serialization mechanisms, Apache Thrift can handle a large number of simultaneous client connections, making it suitable for scalable distributed systems.
  • Versioning Support
    Thrift supports service versioning which helps in evolving APIs without disrupting existing services or clients.

Possible disadvantages of Apache Thrift

  • Steep Learning Curve
    For new users, especially those not familiar with RPC frameworks, learning and understanding Thrift’s IDL and operations can be complex and time-consuming.
  • Documentation and Community Support
    Compared to some alternative technologies, Apache Thrift's documentation and community support can be less robust, which might pose challenges in troubleshooting or seeking guidance.
  • Lack of Advanced Features
    Thrift does not support some advanced features like streaming or multiplexing out of the box, which could limit its use in complex systems requiring these functionalities.
  • Infrastructure Overhead
    Integrating Thrift into an existing system might introduce infrastructure overhead both in initial setup and ongoing maintenance, especially when dealing with multiple languages.
  • Protocol Limitations
    While Thrift is highly efficient, its protocol limitations might require additional workarounds for certain data structures or transport mechanisms, complicating development.

import.io videos

+ Add

mobile review extraction using import.io

More videos:

  • Review - Import.io Infinite Scroll Website Data Extraction

Apache Thrift videos

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Apache Thrift

Category Popularity

0-100% (relative to import.io and Apache Thrift)

import.io

Apache Thrift

Web Scraping
100 100%
Web Scraping
0% 0
Web Servers
0 0%
Web Servers
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
Web And Application Servers
0 0%
Web And Application Servers
100% 100

User comments

Share your experience with using import.io and Apache Thrift. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Thrift should be more popular than import.io. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

import.io mentions (2)

  • Woke up in hella good mood - I guess weekend - how are y’all
    Sort of, import.io is a portion. This could also automate tasks on your local computer as well. Source: about 4 years ago
  • Offering help for Free: If anyone's trying to get a custom internal tool built, I can Help
    This should be possible. But I think you can do this faster with import.io and google sheets. DM me, we'll figure it out. Source: about 4 years ago

Apache Thrift mentions (13)

  • Show HN: TypeSchema – A JSON specification to describe data models
    I once read a paper about Apache/Meta Thrift [1,2]. It allows you to define data types/interfaces in a definition file and generate code for many programming languages. It was specifically designed for RPCs and microservices. [1]: https://thrift.apache.org/. - Source: Hacker News / 7 months ago
  • Delving Deeper: Enriching Microservices with Golang with CloudWeGo
    While gRPC and Apache Thrift have served the microservice architecture well, CloudWeGo's advanced features and performance metrics set it apart as a promising open source solution for the future. - Source: dev.to / about 1 year ago
  • Reddit System Design/Architecture
    Services in general communicate via Thrift (and in some cases HTTP). Source: about 2 years ago
  • Universal type language!
    Protocol Buffers is the most popular one, but there are many others such as Apache Thrift and my own Typical. Source: about 2 years ago
  • You worked on it? Why is it slow then?
    RPC is not strictly OO, but you can think of RPC calls like method calls. In general it will reflect your interface design and doesn't have to be top-down, although a good project usually will look that way. A good contrast to REST where you use POST/PUT/GET/DELETE pattern on resources where as a procedure call could be a lot more flexible and potentially lighter weight. Think of it like defining methods in code... Source: over 2 years ago
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What are some alternatives?

When comparing import.io and Apache Thrift, you can also consider the following products

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

Docker Hub - Docker Hub is a cloud-based registry service

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.

Avro - Avro Keyboard is an Unicode and ANSI compliant Free Bangla Typing Software and Bangla Spell Checker for Windows.

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