5 web scraping APIs you Could Integrate in Your Next.. What is web scraping?

5 web scraping APIs you Could Integrate in Your Next.. What is web scraping?

Web scraping is an automated method of obtaining large amounts of data from websites. Most of this data is unstructured data in HTML format, which is then converted into structured data in a spreadsheet or database so that it can be used in various applications. there are many ways to perform web scraping to get data from websites.

These include using online services, special APIs, or even creating code for web scraping from scratch. Many large websites, such as Google, Twitter, Facebook, StackOverflow, etc. have APIs that allow you to access your data in a structured format.

This is the best option, but there are other sites that do not allow users to access large amounts of data in a structured form or are simply not technologically advanced. In this situation, it is best to use tape scraping to scrape the website for the data.

This is the best option, but there are other sites that do not allow users to access large amounts of data in a structured format or are simply not technologically advanced enough. In that case, it’s best to scrape the website for data using Web Scraping.

Web scraping necessitates the use of two components: the crawler and the scraper. The crawler is an artificial intelligence algorithm that searches the web for specific data by following links across the internet.

A scraper, on the other hand, is a tool designed to extract data from a website. The scraper’s design can vary greatly depending on the complexity and scope of the project in order to extract data quickly and accurately.

Rest api web scraping. What is scrapestack, and What Makes it Powerful for Web Scraping?

The scrapestack API was built to offer a simple REST API interface for scraping web pages at scale without having to programmatically deal with geolocations, IP blocks, or CAPTCHAs. The API supports a series of features essential to web scrapings, such as JavaScript rendering, custom HTTP headers, various geo-targets, POST/PUT requests, and an option to use premium residential proxies instead of datacenter proxies. A great API to pair with this API is a geolocation with IP API.

Here is the reason why scrapestack have 2000+ satisfied customers:

• Millions of Proxies & IPs: scrapestack provides an extensive pool of 35+ million datacenter and residential IP addresses across dozens of global ISPs, supporting real devices, smart retries, and IP rotation.
• 100+ Global Locations: Chosen from 100+ supported global locations to send your web scraping API requests or simply use random geo-targets — supporting a series of major cities worldwide.
• Rock-Solid Infrastructure: Scrape the web at scale at an unparalleled speed and enjoy advanced features like concurrent API requests, CAPTCHA solving, browser support, and JS rendering.
• Free & Premium Options: If you are here to test the API without any commitments, scrapestack provides the Free Plan. If you ever need more advanced access, premium pricing plans start at $19.99 per month.

The scrapestack API is a product built and maintained by apilayer, an Austrian technology company aiming to build a variety of reliable programming interfaces (APIs) and make them affordable for developers and startups. Browse all available products here .

scrapestack powered by one of the most powerful web scraping engines on the market — offering the #1 solution for all your scraping requirements in one place. This article outlines in detail diverse API endpoints, available options, and tutorials with Node.js and other platforms (Postman and RAD Studio REST Debugger).

Fastest web scraping language. Speed? IO is the problem

Plenty of people ask the question, “what is the fastest language for web scraping?” but they do this before they realise that processor performance is never the bottleneck when web scraping, I/O (input output) is! I/O is any communication that has to occur with your processor and “the outside world”. In our case the outside world is the internet; for web scraping the output is our requests for information to the internet and the input is the responses you get back.

The… internet… i.s… slow… No matter how fast your connection is, it will never compare with the bandwidth and speeds available to the processor and memory sat inside your machine - and therefore a super fast number-crunching language is not a requirement for web scraping as that is not the bottleneck, the internet is.

You will read people saying that Python is not the fastest language, and guess what, they are totally right. When they say this, they mean Python is not as fast as compiled languages such as C and Golang but in general terms, what you lose in terms of raw performance with Python it makes up for with the speed of development, readability of the code and the long term maintainability of a project.

As an aside, you rarely want a web scrape to be fast anyway. A fast web scrape will put undue strain on the site you are scraping and this is actually where web scraping gets a bit of an unethical cowboy image. To scrape ethically is to scrape at a reasonable rate and not put excess pressure on the hosting of the site in question.

Web scraping api free. Лучшие сервисы для веб скрапинга данных: топ-7

Рассказываем, что такое веб скрапинг, как применяют данные полученные этим способом, и какие сервисы для веб скрапинга существуют на рынке.

В октябре 2020 года Facebook подал жалобу в федеральный суд США против двух компаний, обвиняемых в использовании двух вредоносных расширений для браузера Chrome. Эти расширения позволяют выполнять скрапинг данных без авторизации в Facebook, Instagram, Twitter, LinkedIn, YouTube и Amazon.

Оба расширения собирали публичные и непубличные данные пользователей. Компании продавали эти данные, которые затем использовались для маркетинговой разведки.

В этой статье мы разберемся, как выполнять скрапинг данных легально, и расскажем про семь сервисов для веб скрапинга, которые не требуют написания кода. Если вы хотите выполнять скрапинг самостоятельно, прочитайтеинструментов и библиотек для скрапинга.

Что такое скрапинг данных?

Скрапинг данных или веб скрапинг – это способ извлечения информации с сайта или приложения (в понятном человеку виде) и сохранение её в таблицу или файл.

Это не нелегальная техника, однако способы использования этих данных могут быть незаконными. В следующем

Как используют эти данные

Веб скрапинг имеет широкий спектр применений. Например, маркетологи пользуются им для оптимизации процессов.

1. Отслеживание цен

Собирая информацию о товарах и их ценах на Amazon и других платформах, вы можете следить за вашими конкурентами и адаптировать свою ценовую политику.

2. Рыночная и конкурентная разведка

Если вы хотите проникнуть на новый рынок и хотите оценить возможности, анализ данных поможет вам сделать взвешенное и адекватное решение.

3. Мониторинг соцсетей

YouScan, Brand Analytics и другие платформы для мониторинга соцсетей используют скрапинг.

4. Машинное обучение

С одной стороны, машинное обучение и AI используются для увеличения производительности скрапинга. С другой стороны, данные, полученные с его помощью, используют в машинном обучении.

Интернет — это важный источник данных для алгоритмов машинного обучения.

5. Модернизация сайтов

Компании переносят устаревшие сайты на современные платформы. Для того чтобы быстро и легко экспортировать данные, они могут использовать скрапинг.

6. Мониторинг новостей

Скрапинг данных из новостных сайтов и блогов позволяет отслеживать интересующие вас темы и экономит время.

7. Анализ эффективности контента

Блоггеры или создатели контента могут использовать скрапинг для извлечения данных о постах, видео, твитах и т. д. в таблицу, например, как на видео выше.

Данные в таком формате:

• легко сортируются и редактируются;
• просто добавить в БД;
• доступны для повторного использования;
• можно преобразовать в графики.

Сервисы для веб скрапинга

Скрапинг требует правильного парсинга исходного кода страницы, рендеринга JavaScript, преобразования данных в читаемый вид и, по необходимости, фильтрации. Поэтому существует множество готовых сервисов для выполнения скрапинга.

Вот топ-7 инструментов для скрапинга, которые хорошо справляются с этой задачей.

1. Octoparse

Octoparse — это простой в использовании скрапер для программистов и не только. У него есть бесплатный тарифный план и платная подписка.

Особенности:

• работает на всех сайтах: с бесконечным скроллом, пагинацией, авторизацией, выпадающими меню, AJAX и т.д.
• сохраняет данные в Excel, CSV, JSON, API или БД.
• данные хранятся в облаке.
• скрапинг по расписанию или в реальном времени.
• автоматическая смена IP для обхода блокировок.
• блокировка рекламы для ускорения загрузки и уменьшения количества HTTP запросов.
• можно использовать XPath и регулярные выражения.
• поддержка Windows и macOS.
• бесплатен для простых проектов, 75$/месяц — стандартный, 209$/месяц — профессиональный и т. д.

2. ScrapingBee

ScrapingBee Api использует «безголовый браузер» и смену прокси. Также имеет API для скрапинга результатов поиска Google.

Особенности:

• рендеринг JS;
• ротация прокси;
• можно использовать с Google Sheets и браузером Chrome;
• бесплатен до 1000 вызовов API, 29$/месяц — для фрилансеров, 99$/месяц — для бизнеса и т.д.

3. ScrapingBot

ScrapingBot предоставляет несколько API: API для сырого HTML, API для сайтов розничной торговли, API для скрапинга сайтов недвижимости.

Web scraping is a technique used to extract information from a website or application (in a human-readable format) and save it in a table or file. While it's not illegal, the ways to use these data can be illegal. In this article, we'll explore how to perform web scraping legally and introduce you to seven services for web scraping that don't require coding.

In October 2020, Facebook filed a lawsuit against two companies accused of using two malicious browser extensions for Chrome. These extensions allowed scraping data without authorization on Facebook, Instagram, Twitter, LinkedIn, YouTube, and Amazon. Both extensions collected public and non-public user data. The companies sold these data, which were later used for market research.

Web scraping has a wide range of applications. For example, marketers use it to optimize processes. By collecting information about products and their prices on Amazon and other platforms, you can monitor your competitors and adapt your pricing policy.

Why Web Scraping is Important

Web scraping is essential for various industries, including:

• Market research: Collecting data on competitors, products, and prices to stay ahead in the market.
• Market analysis: Analyzing data to make informed decisions and stay competitive.
• E-commerce: Scraping data to monitor prices, product availability, and customer reviews.
• Financial analysis: Scraping financial data to analyze market trends and make informed investment decisions.

Top 7 Web Scraping Services (No Coding Required)

Here are the top 7 web scraping services that don't require coding:

Service	Description
Scrapy	A popular open-source web scraping framework that allows you to extract data from websites.
Octoparse	A web scraping software that allows you to extract data from websites without coding.
ParseHub	A web scraping platform that allows you to extract data from websites and social media platforms.
Apify	A web scraping platform that allows you to extract data from websites and social media platforms.
ScrapeStorm	A web scraping software that allows you to extract data from websites and social media platforms.
Import.io	A web scraping platform that allows you to extract data from websites and social media platforms.
Diffbot	A web scraping platform that allows you to extract data from websites and social media platforms.

These services are designed to make web scraping easy and accessible, even for those without coding skills. By using these services, you can extract valuable data and insights from the web, helping you stay ahead in your industry.

Remember, web scraping is not illegal, but the ways to use these data can be. Always ensure you comply with the terms of service of the websites you're scraping and respect the privacy of users.

Источник: https://lajfhak.ru-land.com/stati/top-5-web-scraping-apis-data-extraction-automation-2022-top-10-best-web-scraping-tools-data

Web scraping sdk.

Introduction

Python SDK gives you a handy abstraction to interact with Scrapfly API . Many are automatically handled for you like:

The Full python API specification is available here: https://scrapfly.github.io/python-scrapfly/docs/scrapfly

• Automatic base64 encode of JS snippet
• Error Handling
• Body json encode ifContent-Type: application/json
• Body URL encode and setContent Type: application/x-www-form-urlencodedif no content type specified
• Convert Binary response into a pythonByteIOobject

Installation

pip install 'scrapfly-sdk'

You can also install extra packagescrapflyto get brotli compression and msgpack serialization benefits.

Best web scraping tools. Apify

Apify is a well-known provider of web scraping tools and offers a wide range of pre-built web scrapers, with most of them dedicated to specific use cases and purposes. Apify comes with a great browser extension and allows connecting to proxies using an API. Apify has a great reputation and is working with some of the biggest companies in the world, including Microsoft, Samsung, Decathlon, and more.

You can use their amazing Node.js library, Crawlee, to empower your web scrapers and give them an almost unfair advantage. You can also libraries you are used to, including Puppeteer, Scrapy, Selenium, or Playwright. Apify has  the richest GitHub  we’ve seen, so kudos to them for that.

RAM memory scales, and starts from 4GB on the free plan, which is already enough for a small scraping project. You also get a high number of team seats, so you can invite your colleagues to the same account. This is one of the only providers that lets you get full Discord support on the free plan, and all the paid plans come already with chat support!

Their prices are great, for $49 you can scrape around 12K pages including JS rendering! If you want to scrape simple HTML pages, you’ll get 55K requests, which is pretty amazing. You can buy add-ons like shared DC proxies (not recommended, high blocking rate), increase max memory, and increase the number of seats.

Prices range from free to $499/mo, with custom enterprise plans available too. In conclusion, Apify is one of the best choices out there, especially if you have a particular use case.

Источник: https://lajfhak.ru-land.com/novosti/best-10-free-and-paid-web-scraping-tools-2022-top-10-best-web-scraping-tools-data-extraction

Web scraping open source. Scrapy

Scrapy is an open source web scraping framework in Python used to build web scrapers. It gives you all the tools you need to efficiently extract data from websites, process them as you want, and store them in your preferred structure and format. One of its main advantages is that it’s built on top of a Twisted asynchronous networking framework. If you have a large web scraping project and want to make it as efficient as possible with a lot of flexibility then you should definitely use Scrapy. 

Scrapy has a couple of handy built-in export formats such as JSON, XML, and CSV. Its built for extracting specific information from websites and allows you to focus on the data extraction using CSS selectors and choosing XPath expressions. Scraping web pages using Scrapy is much faster than other open source tools so its ideal for extensive large-scale scaping. It can also be used for a wide range of purposes, from data mining to monitoring and automated testing.  What stands out about Scrapy is its ease of use and  . If you are familiar with Python you’ll be up and running in just a couple of minutes.  It runs on Linux, Mac OS, and Windows systems.

Scrapy is under BSD license.