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Pandas VS ScrapingBee

Compare Pandas VS ScrapingBee and see what are their differences

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Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

ScrapingBee logo ScrapingBee

ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • ScrapingBee Landing page
    Landing page //
    2022-01-12

Web Scraping is hard, scraping at scale can be very challenging.

You have to handle:

  • Javascript rendering 💻
  • Chrome headless 🛠
  • Captcha 🤖
  • Proxy 🕵️‍♀️

ScrapingBee is a simple API that does all the above for you, and much more.

ScrapingBee

$ Details
freemium $49.0 / Monthly (Freelance / 10,000 searches / 100,000 credits)
Platforms
REST API
Release Date
2019 July

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

ScrapingBee features and specs

  • Easy to Use
    ScrapingBee provides a simple API that allows developers to scrape web pages without worrying about handling proxies or web browser rendering.
  • JavaScript Rendering
    With built-in JavaScript rendering, ScrapingBee can handle complex web pages that rely heavily on JavaScript for content display, making it suitable for scraping modern websites.
  • Proxy Management
    ScrapingBee automatically manages proxies, meaning developers don't have to deal with proxy rotation, blacklisting, or bans.
  • Rate Limiting Control
    The service offers control over rate limits, making it possible to scrape at a custom speed that suits your needs and prevents being blocked by target websites.
  • Custom Headers Support
    ScrapingBee allows the use of custom headers, enabling users to mimic different browsers or add specific headers required by the target site.
  • Geolocation
    It provides geolocation-based scraping, which is useful for accessing content that is region-restricted.

Possible disadvantages of ScrapingBee

  • Cost
    ScrapingBee is a paid service, and costs can add up depending on the volume and complexity of your scraping needs.
  • Rate Limits
    Even though it offers control over rate limits, there are still predefined limits depending on your plan, which might not suit very high-volume scraping needs.
  • Dependency on External Service
    Relying on an external service means that you are dependent on ScrapingBee's uptime and performance, which may affect your operations if the service faces downtime.
  • Data Privacy
    Using a third-party service for web scraping means sharing your scraping activities with ScrapingBee, which could raise data privacy concerns.
  • Limited Customization
    While ScrapingBee handles many aspects of web scraping for you, it may not offer the level of customization that a self-built scraping solution could provide.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Analysis of ScrapingBee

Overall verdict

  • ScrapingBee is generally considered a good choice for web scraping, especially for users who want to streamline the process and avoid the complexities of managing their own infrastructure. It is well-regarded for its ease of use, reliability, and comprehensive feature set.

Why this product is good

  • ScrapingBee is a popular web scraping service because it provides a simple and efficient way to scrape websites without the need to manage proxy servers or deal with headless browser setup. It offers features like rendering JavaScript, handling CAPTCHAs, and supporting various customization options, making it suitable for different scraping needs.

Recommended for

  • Developers looking to automate data extraction from websites
  • Businesses needing reliable web scraping solutions without investing in infrastructure
  • Users who require JavaScript rendering and CAPTCHA handling in their scraping tasks
  • Projects that require scalable and customizable web scraping options

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

ScrapingBee videos

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

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Category Popularity

0-100% (relative to Pandas and ScrapingBee)
Data Science And Machine Learning
Web Scraping
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Data Extraction
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pandas and ScrapingBee

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

ScrapingBee Reviews

We have no reviews of ScrapingBee yet.
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Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than ScrapingBee. While we know about 219 links to Pandas, we've tracked only 3 mentions of ScrapingBee. 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.

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
View more

ScrapingBee mentions (3)

  • Self-hosted, simple web browser service – send URL, get screenshots
    If you’re worried about the security risks, edge cases, maintenance pain and scaling challenges of self hosting there are various solid hosted alternatives: - https://browserless.io - low level browser control - https://scrapingbee.com - scraping specialists - https://urlbox.com - screenshot specialists* They’re all profitable and have been around for years so you can depend on the businesses and the tech. *... - Source: Hacker News / 4 months ago
  • Are there any APIs that maintain a database of subscriptions?
    If you really just need the data you can use something like https://scrapingbee.com to scrape the info from the various price pages to make sure your info is always up to date. Source: about 2 years ago
  • Our bootstrapped SaaS just turned 3 and reached $1.5m ARR: the lessons learned.
    Well done! And posting here was a great idea. Not sure I would have found scrapingbee.com otherwise. We will probably become a customer. Signed up for the trial account. Source: almost 3 years ago

What are some alternatives?

When comparing Pandas and ScrapingBee, you can also consider the following products

NumPy - NumPy is the fundamental package for scientific computing with Python

Zyte - We're Zyte (formerly Scrapinghub), the central point of entry for all your web data needs.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

OpenCV - OpenCV is the world's biggest computer vision library

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