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Google App Engine VS Extractor API

Compare Google App Engine VS Extractor API and see what are their differences

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Google App Engine logo Google App Engine

A powerful platform to build web and mobile apps that scale automatically.

Extractor API logo Extractor API

Extract clean text from thousands of articles with a simple API request or use our visual web tool - we'll handle IP rotation, retries and everything else. Features include news search, translation, and ML-powered text extraction.
  • Google App Engine Landing page
    Landing page //
    2023-10-17
  • Extractor API Landing page
    Landing page //
    2023-07-11

Features

IP Rotation & JS Rendering

We automatically apply IP rotation and retries to every request (Free Plan included), and all our paid plans allow you to render JavaScript before extraction.

Search Country News

Free and paid plans can search the world's news with our News Search endpoint. Every request returns up to 100 news items, including metadata. Collect the URLs - then extract clean text with our Extractor endpoint.

Clean Text & Metadata

Extract clean text, HTML, image and video links, authors, title, publication date, html, and raw text. Choose only the fields you need.

API Not Required

You can extract data from up to 1,000 URLs at a time using our online visual extractor - not just the API. The visual extractor is included in all plans.

Store Your Results

Both the API and the visual extractor allow you to store your results in Jobs. Assign your target URLs a job name, then see their progress online or programmatically. Once the job is done, you can retrieve the results any time.

Translate Extracted Text

All paid accounts are able to translate to and from 55 languages. Swahili to English, Vietnamese to French, or anything you want - extract clean text and translate it with a single API call.

Extractor API

$ Details
freemium
Platforms
Windows Browser Web Android iOS Mac OSX Google Chrome Linux Firefox Cross Platform REST API Safari JavaScript iPhone Chrome OS Internet Explorer Windows Phone Python Node JS Ruby Java C PHP .Net Go Swift C++ Docker ReactJS TypeScript
Release Date
2020 March

Google App Engine features and specs

  • Auto-scaling
    Google App Engine automatically scales your application based on the traffic it receives, ensuring that your application can handle varying workloads without manual intervention.
  • Managed environment
    App Engine provides a fully managed environment, covering infrastructure management tasks like server provisioning, patching, monitoring, and managing app versions.
  • Integrated services
    Seamlessly integrates with other Google Cloud services such as Datastore, Cloud SQL, Pub/Sub, and more, offering a comprehensive ecosystem for building and deploying applications.
  • Multiple languages support
    Supports multiple programming languages including Java, Python, PHP, Node.js, Go, Ruby, and .NET, giving developers flexibility in choosing their preferred language.
  • Security
    Offers robust security features including Identity and Access Management (IAM), Cloud Identity, and automated security updates, which help protect your applications from vulnerabilities.
  • Developer productivity
    App Engine allows rapid development and deployment, letting developers focus on writing code without worrying about infrastructure management, thus boosting productivity.
  • Versioning
    Supports versioning of applications, allowing multiple versions of the application to be hosted simultaneously, which helps in A/B testing and rollback capabilities.

Possible disadvantages of Google App Engine

  • Cost
    While you pay for what you use, costs can escalate quickly with high traffic or resource-intensive applications. Detailed cost prediction can be challenging.
  • Vendor lock-in
    Relying heavily on Google App Engine's proprietary services and APIs can make it difficult to migrate applications to other platforms, leading to vendor lock-in.
  • Limited control
    Being a fully managed service, App Engine provides limited control over the underlying infrastructure which might be a limitation for certain advanced use cases.
  • Environment constraints
    Certain restrictions and limitations are imposed on the runtime environment, such as request timeout limits and specific resource quotas, which can affect application performance.
  • Complex debugging
    Debugging issues in a highly abstracted managed environment can be more complex and difficult compared to traditional server-hosted applications.
  • Cold start latency
    Serverless environments like App Engine can suffer from cold start latency, where the initial request triggers a delay as the environment spins up resources.
  • Configuration complexity
    Despite its benefits, configuring and optimizing App Engine for specific scenarios can be more complex than expected, requiring a steep learning curve.

Extractor API features and specs

  • Robust API
    We handle IP rotation, retries and JavaScript rendering - you get clean text.
  • News Search
    Search the world's news with a single API call - up to 100 results per request.
  • Extract Everything
    Extract clean text, translate it into 50+ languages and get tons of metadata.
  • Visual Extraction
    Don't want to use the API? Use our visual online tool to paste or upload URLs!
  • Persistent Jobs
    Both our API and online tool allow you to save extracted text to your Jobs page.
  • Quick Start
    Check out the Getting Started guide for a quick overview of the API and the FAQ for more info.

Analysis of Google App Engine

Overall verdict

  • Google App Engine is generally considered a good choice for developers looking for a serverless platform to deploy their applications quickly without managing underlying infrastructure. Its ease of use, scalability, and integration with Google's ecosystem make it a strong option, especially for projects expecting to scale significantly or require integration with other Google Cloud services.

Why this product is good

  • Google App Engine is a fully managed serverless platform that allows developers to build scalable web applications and mobile backends. It abstracts away infrastructure management, handles scaling automatically, and offers integration with other Google Cloud services, providing a high degree of flexibility and efficiency. Its key strengths include support for multiple programming languages, built-in security features, and seamless connectivity to Google's machine learning and data analytics tools.

Recommended for

    Google App Engine is recommended for developers building web applications who prefer a Platform as a Service (PaaS) model, startups who need a solution that can grow with them without worrying about scaling issues, teams wanting to leverage Google's robust data and analytics offerings, and businesses that require a global reach with reliable performance.

Google App Engine videos

Get to know Google App Engine

More videos:

  • Review - Developing apps that scale automatically with Google App Engine

Extractor API videos

Extractor API - Visual Extractor Demo

Category Popularity

0-100% (relative to Google App Engine and Extractor API)
Cloud Computing
100 100%
0% 0
Data Extraction
0 0%
100% 100
Cloud Hosting
100 100%
0% 0
Web Scraping API
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 Google App Engine and Extractor API

Google App Engine Reviews

Top 5 Alternatives to Heroku
Google App Engine is fast, easy, but not that very cheap. The pricing is reasonable, and it comes with a free tier, which is great for small projects that are right for beginner developers who want to quickly set up their apps. It can also auto scale, create new instances as needed and automatically handle high availability. App Engine gets a positive rating for performance...
AppScale - The Google App Engine Alternative
AppScale is open source Google App Engine and allows you to run your GAE applications on any infrastructure, anywhere that makes sense for your business. AppScale eliminates lock-in and makes your GAE application portable. This way you can choose which public or private cloud platform is the best fit for your business requirements. Because we are literally the GAE...

Extractor API Reviews

Creating an Automated Text Extraction Workflow โ€” Part 1
The 600 lbs gorilla, Diffbot, comes with a swath of solid APIs but starts at $300, which is ridiculous if youโ€™re just extracting text. Scrapinghubโ€™s News API, Extractor API, and plenty more are better priced if you want an affordable alternative; plus, Extractor API includes a visual online tool for extracting hundreds of articles at once, if you want to do things via UI.
Source: medium.com

Social recommendations and mentions

Based on our record, Google App Engine seems to be a lot more popular than Extractor API. While we know about 33 links to Google App Engine, we've tracked only 3 mentions of Extractor API. 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.

Google App Engine mentions (33)

  • Simplifying basic (genAI) web app deployment with serverless
    Google App Engine (GAE) -- the "OG" serverless platform that launched back in 2008 & somewhat modernized in 2018; uses customized, proprietary containers, free static file edge-caching, and generous outbound networking free tier. - Source: dev.to / 8 months ago
  • Unlocking the Cloud: Your Essential Guide to IaaS, PaaS, and SaaS Models
    Google App Engine - Google's fully managed platform for building scalable web and mobile backends. - Source: dev.to / about 1 year ago
  • Guide to modern app-hosting without servers on Google Cloud
    If Google App Engine (GAE) is the "OG" serverless platform, Cloud Run (GCR) is its logical successor, crafted for today's modern app-hosting needs. GAE was the 1st generation of Google serverless platforms. It has since been joined, about a decade later, by 2nd generation services, GCR and Cloud Functions (GCF). GCF is somewhat out-of-scope for this post so I'll cover that another time. - Source: dev.to / over 1 year ago
  • Security in the Cloud: Your Role in the Shared Responsibility Model
    As Windsales Inc. expands, it adopts a PaaS model to offload server and runtime management, allowing its developers and engineers to focus on code development and deployment. By partnering with providers like Heroku and Google App Engine, Windsales Inc. Accesses a fully managed runtime environment. This choice relieves Windsales Inc. Of managing servers, OS updates, or runtime environment behavior. Instead,... - Source: dev.to / over 1 year ago
  • Hosting apps in the cloud with Google App Engine in 2024
    Google App Engine (GAE) is their original serverless solution and first cloud product, launching in 2008 (video), giving rise to Serverless 1.0 and the cloud computing platform-as-a-service (PaaS) service level. It didn't do function-hosting nor was the concept of containers mainstream yet. GAE was specifically for (web) app-hosting (but also supported mobile backends as well). - Source: dev.to / over 1 year ago
View more

Extractor API mentions (3)

  • webscraping for sentiment analysis
    Take a look at our webscraping API - should be able to do what you need it to do. https://extractorapi.com/. Source: about 3 years ago
  • Using ChatGPT to build a database from web scraping?
    If you want to make it easier, we built a text extraction tool that can fit a number of use cases https://extractorapi.com/ people are using it instead of GPT for the scraping and then in certain cases feeding the data that comes from here to some broader app/use case. Just another route! Source: about 3 years ago
  • Text Extraction Tool for Training your ChatGPT app
    I'm looking for input on our tool as a pipeline for text data into your own ChatGPT use case. We know you can use ChatGPT API to do the same task, but we've found that to be costly and time-consuming for the text extraction/scraping portion. We've built a cost-effective and quick tool, Extractor API, for that use case. Would love to see what others are using outside of just relying on ChatGPT for text extraction. Source: about 3 years ago

What are some alternatives?

When comparing Google App Engine and Extractor API, you can also consider the following products

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Microlink - Extract structured data from any website

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Schema API - Extract structured content from the semantic web

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

CRX Extractor - Get any Chrome Extension source code. Learn and hack!