Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is Scrapy?

Accepted Answer

Scrapy is a powerful and opensource web crawling framework written in Python that is used for extracting data from websites It provides a simple and flexible way to scrape websites and extract the data for various purposes such as research monitoring or data mining Scrapy offers a highlevel API that makes it easy to build and scale web scraping projects efficiently With its robust architecture users can create web spiders that navigate websites and extract the desired information with ease

Scrapy falls under the category of PyPI Packages particularly within the realm of web scraping tools It is a specialized tool designed for developers and data scientists to extract structured data from websites quickly and efficiently By leveraging Scrapy users can automate the extraction process saving time and resources while ensuring accurate and reliable data retrieval

Founded in 2008 by Pablo Hoffman Scrapy originated from the need to streamline web scraping tasks and provide a comprehensive framework for extracting data from the web The project was motivated by the growing demand for web scraping tools that could handle complex scraping requirements effectively Over the years Scrapy has evolved into a popular choice among developers for its simplicity performance and scalability

In terms of market share Scrapy holds a significant position within the web scraping technology landscape Its robust features active community support and continuous development make it a preferred choice for businesses and individuals looking to extract data from the web With the increasing emphasis on datadriven decisionmaking and the rise of web data analytics the demand for tools like Scrapy is expected to grow further in the future As more industries recognize the value of web data extraction Scrapy is poised to expand its market presence and solidify its position as a leading web scraping framework

Question 4

How to get an updated list of companies that use Scrapy?

Accepted Answer

You can access an updated list of companies using Scrapy by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does Scrapy have?

Accepted Answer

As of now, we have data on 2,294 companies that use Scrapy.

Question 6

Who uses Scrapy?

Accepted Answer

Scrapy is used by a diverse range of organizations across various industries, including "IT Services and IT Consulting", "Telecommunications", "Staffing and Recruiting", "IT Services and IT Consulting", "Software Development", "Financial Services", "Software Development", "Business Consulting and Services", "Data Infrastructure and Analytics", "Real Estate". For a comprehensive list of all industries utilizing Scrapy, please visit TheirStack.com.

Question 7

What companies use Scrapy?

Accepted Answer

Some of the companies that use Scrapy include Zyte, Community Phone Company, Harnham, Gmware, eGrove Systems, Legalist, Nimble, Sigmoid, Actowiz Solutions, PriceHubble and many more. You can find a complete list of 2,294 companies that use Scrapy on TheirStack.com.

Question 8

In which countries Scrapy is used the most?

Accepted Answer

Based on our data, Scrapy is most popular in United Arab Emirates (10 companies), Austria (3 companies), Saudi Arabia (2 companies), Colombia (4 companies), New Zealand (1 companies), Lithuania (1 companies), Italy (5 companies), Israel (5 companies), Japan (3 companies), Canada (27 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use Scrapy?

Accepted Answer

You can find companies using Scrapy by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

Companies that use Scrapy

How to target Scrapy users

Scrapy customers by country

United States

India

United Kingdom

France

Canada

Germany

Brazil

Singapore

Spain

Pakistan

List of companies using Scrapy

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is Scrapy?

What is Scrapy?

How to get an updated list of companies that use Scrapy?

How to get an updated list of companies that use Scrapy?

How many customers does Scrapy have?

How many customers does Scrapy have?

Who uses Scrapy?

Who uses Scrapy?

What companies use Scrapy?

What companies use Scrapy?

In which countries Scrapy is used the most?

In which countries Scrapy is used the most?

How to find companies that use Scrapy?

How to find companies that use Scrapy?

Scrapy alternatives and competitors

AOS

Keras

Prism

Amazon Widgets

OData

Babel

Prisma

pip

Oracle PL/SQL

Rome

SciPy

SQLAlchemy

Markdown

React Redux

Ext JS

Mongoose

Trino

FullCalendar

Underscore

pkg

Raphael

JSON API

Immutable.js

Sphinx

AG Grid

Prebid

Adobe Flash

Lerna

Lodash

Theano

Cesium

Graphene

Hotwire

scikit-image

Deno

DataTables

Google Cloud SDK

Bluebird

Prepack

Twisted

Sencha Ext JS

Blockly

POWr

Globalize

uWSGI

ReactiveX

Ramda