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import.io VS python xlrd

Compare import.io VS python xlrd and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

python xlrd logo python xlrd

Please use openpyxl where you can... Contribute to python-excel/xlrd development by creating an account on GitHub.
  • import.io Landing page
    Landing page //
    2023-06-12
  • python xlrd Landing page
    Landing page //
    2023-08-18

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.

python xlrd features and specs

  • Simplicity
    xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
  • Widely Used
    xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
  • Efficient Reading
    It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.

Possible disadvantages of python xlrd

  • No Write Support
    xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
  • Limited to Older Excel Formats
    With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
  • Deprecated Features
    Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.

import.io videos

+ Add

mobile review extraction using import.io

More videos:

  • Review - Import.io Infinite Scroll Website Data Extraction

python xlrd videos

No python xlrd videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to import.io and python xlrd)

import.io

python xlrd

Web Scraping
100 100%
Web Scraping
0% 0
Development Tools
0 0%
Development Tools
100% 100
Data Extraction
100 100%
Data Extraction
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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

python xlrd might be a bit more popular than import.io. We know about 2 links to it since March 2021 and only 2 links to import.io. 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

python xlrd mentions (2)

  • I need to read multiple excel files, extract a column from each and compose a new file
    So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '. Source: about 3 years ago
  • Sending Bulk SMS using Africas Talking, Python and Excel
    There are few alternative libraries for reading and writing excel files: Pandas, Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience Using it and it had support for .xlsx files. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing import.io and python xlrd, 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.

python docx - Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.

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

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

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

bokeh python - This Python tutorial will get you up and running with Bokeh, using examples and a real-world dataset. You'll learn how to visualize your data, customize and organize your visualizations, and add interactivity.

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