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TensorFlow VS Scraping Fish

Compare TensorFlow VS Scraping Fish and see what are their differences

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TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Scraping Fish logo Scraping Fish

Scraping Fish is a super simple Web Scraping API. You send us a request - we return HTML. We use real browsers and rotating proxies underneath.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • Scraping Fish Landing page
    Landing page //
    2022-10-29

Scraping Fish

Powered by Mobile Proxies

When using our API you leverage the power of the world's best proxies. Other web scraping services require you to pay much more to use proxies of such a quality. In Scraping Fish, this comes as the default - without additional configuration and included in price!

All our IPs are ethically sourced

Other web scraping services and proxy providers use unethical measures to get their IPs. Don't reinforce bad behavior - use ethical proxies. Every IP we use is ethically sourced.

Web Scraping Without The Hassle

Use the power of:

  • A Cluster of Real Browsers

  • JavaScript Rendering & Execution

  • Rotating Proxies

  • The Fastest Response Times

without the complexity of running it yourself. Always the same price - no matter which features you use.

Ingrained Simplicity

Scraping Fish was designed from the ground up to be the easiest scraping solution to integrate into your workflow and be used to get your web scraping business up and running quickly. You don't even need to setup an account - just buy request packs and get your API key delivered straight to your email.

Clear Pricing

  • $0.002 Per Request

  • All Features Included In Price

  • Failed Requests Not Charged

  • Requests Sold In Packs

Other web scraping services use API credits system which deliberately leads to confusion and benefits them at the cost of the user. Use Scraping Fish to always know the price of your web scraping job.

TensorFlow

Pricing URL
-
$ Details
Platforms
-
Release Date
-

Scraping Fish

$ Details
paid $2.0 / One-off (1,000 API requests)
Platforms
Windows Linux Mac OSX Python JavaScript Java Node JS Ruby REST API Google Chrome Firefox Edge
Release Date
2022 March

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Scraping Fish features and specs

  • Mobile Proxies
  • A Cluster of Real Browsers
  • JavaScript Rendering & Execution
  • Rotating Proxies
  • IPs are ethically sourced
  • Failed Requests Not Charged

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Scraping Fish videos

100% Success Rate with This Proxy for Web Scrapers

Category Popularity

0-100% (relative to TensorFlow and Scraping Fish)
Data Science And Machine Learning
Data Extraction
0 0%
100% 100
AI
100 100%
0% 0
Web Scraping
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 TensorFlow and Scraping Fish

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Scraping Fish Reviews

We have no reviews of Scraping Fish yet.
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Social recommendations and mentions

Based on our record, Scraping Fish should be more popular than TensorFlow. It has been mentiond 33 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.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
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Scraping Fish mentions (33)

  • Ask HN: What are you working on? (May 2025)
    Adding a support for direct CDP connection with our custom browsers cluster that powers our web scraping API (https://scrapingfish.com/) so that our customers can integrate it into their existing workflows. - Source: Hacker News / 3 days ago
  • Self-hosted, simple web browser service – send URL, get screenshots
    Happy to suggest another web scraping API alternative I rely on: https://scrapingfish.com. - Source: Hacker News / 4 months ago
  • Can confirm Indeed is selling user information
    > What is a good way to web scrap [sic] them Maybe using Scraping Fish [0]? Per [1], "They [scrapingfish.com] seem to handle all the more annoying parts of web scraping: bypassing anti scraping things such as rate limits and captchas." [0] https://scrapingfish.com/. - Source: Hacker News / 12 months ago
  • SaaS Subscription or Usage-Based Pricing?
    At https://scrapingfish.com/ we have both options, usage based https://scrapingfish.com/buy and subscriptions (monthly unlimited requests plan) https://scrapingfish.com/unlimited. Despite subscriptions being cheaper option per request, usage based is way more popular. Only less than 10% of our users have subscribed to unlimited monthly plan. I guess usage based plans give users more control over how much they... - Source: Hacker News / about 1 year ago
  • What is the most useful project you've ever worked on?
    I’m still working on a web scraping API (https://scrapingfish.com/). For some people it’s evil bot but for others it’s enabler for public data access. I thinks it’s useful. - Source: Hacker News / about 1 year ago
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What are some alternatives?

When comparing TensorFlow and Scraping Fish, you can also consider the following products

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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.

OnlineOrNot - Uptime monitoring for software teams (even teams of one).