Scraper API
ScrapingBee
Apify
Bright Data
Octoparse
Zyte
Scrapy
Oxylabs
pytest
JUnit
Cucumber
unittest
RSpec
PHPUnit
Mockito
Capybara
ScraperAPI is a powerful and efficient web scraping API and tool designed to empower developers, data scientists, and businesses with reliable data extraction at scale. Our robust proxy API for web scraping simplifies web scraping, ensuring consistent access to vital web data without the frustration of IP bans or rate limits.
We take the complexity out of web scraping by handling the technical hurdles, including intelligent IP rotation, automatic CAPTCHA resolution, advanced parsing, and seamless JavaScript rendering. This allows you to focus on extracting valuable insights, making your web scraping projects more efficient and straightforward.
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We are using Scraper API more than 6 months. The product is very effective and we integrate it into our SaaS software.
Based on our record, pytest should be more popular than Scraper API. It has been mentiond 5 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.
Yeah, scraperapi.com also has a feature called "autoparse", and it converts some sites that it supports (e.g. Amazon) to JSON. Source: about 4 years ago
Pytest is an excellent alternative to unittest. Even though it doesn't come built-in to Python itself, it is considered more pythonic than unittest. It doesn't require a TestClass, has less boilerplate code, and has a plain assert statement. Pytest has a rich plugin ecosystem, including a specific Django plugin, pytest-django. - Source: dev.to / over 2 years ago
For this lab exercise I had the opportunity to add unit tests to a classmate's project and experience their CI workflow. For this exercise I worked on go-go-web by kliu57. Go-Go Web is written in Python and uses the pytest testing framework. This was my first time writing tests for pytest, but I found the pytest docs helpful. However, more helpful was the information provided in the associated issue and the tests... - Source: dev.to / almost 3 years ago
This week, in a setup for a CI/CD pipeline, I added unit and integration testing using Pytest to my Python CLI and utilized pytest-cov for generating a coverage report. As always, the merged commit for changes to the repo can be found here. - Source: dev.to / almost 3 years ago
After looking through the various unit testing tools available for Python like pytest, unittest (built-in), and nose, I went with pytest for its simlpicity and ease of use. - Source: dev.to / almost 3 years ago
Up until now we've been using python's unittest module. This was chosen as a first step since it comes with python out of the box. Now that we've gone over dev dependencies I think it's a good time to look at pytest as a unit test alternative. I highly recommend getting accustomed to pytest as it's used quite often in the python ecosystem to handle testing for projects. It's also a bit more user friendly in how it... - Source: dev.to / almost 3 years ago
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.
JUnit - JUnit is a simple framework to write repeatable tests.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
unittest - Testing Frameworks
