The ZenRows Blog

Web scraping from zero to hero in PHP! Create your web scraper with this step-by-step tutorial. Learn DOM, data parsing, anti-blocking techniques and more.

Learn how to build a custom proxy rotator using Python to avoid getting blocked when web scraping. Pick at random from an IP pool where each proxy is available and health-checked.

Learn how to speed up your web scraping in Python using asyncio and multiprocessing. Concurrency allows you to go much faster by requesting several pages simultaneously.

Learn how to build a web scraper with Python using Requests and BeautifulSoup libraries. We will cover, step-by-step, a scraping process on a job board.

Create better web scrapers by following best practices and avoiding common mistakes. Choose the right approach for the job thanks to these tips.

Tutorial to navigate and scrape websites using Selenium in Python, even dynamic content, thanks to Javascript Rendering and other available features.

Take advantage of XHR requests and scrape websites content without any effort. No need for fickle HTML or CSS selectors, API endpoints tend to remain stable.

Learn how to block stylesheets, images, videos, scripts, and other resources to save bandwidth and fasten your scrapers.

Learn how to build a web scraper with Javascript and Node.js. From anti-blocking techniques, headless browsers, parallel requests with queues.

Build your own distributed crawler with custom parsers per domain. Discover new pages and store the exact content you need — all in less than 300 LOC.

Learn how to build a web crawler for scale. From setting up queues to processing your scrapers in parallel.

Learn how to scrape any website without getting blocked or blacklisted while bypassing anti-bot solutions and CAPTCHAs.

Web scrapers automate the process of extracting data from the web. Learn everything from data parsing, detecting XHR Requests to hidden fields.

Check correlation from a car dataset and train different linear regression models to predict the price based on data points such as mileage and horsepower.

Import a CSV file into Python and start Exploratory Data Analysis in a few minutes. Learn how to interpret variables and plot them to get insights.

How can web scraping help your business grow? From market research to Machine Learning training, extracting knowledge can guide any data-driven decision in any industry sector.

YouTube videos data from several top YouTubers to see how their videos grow over time. Some might reach millions of views in a few hours.

We collected real estate data to map Bilbao's housing prices by price per square meter. 3000 were collected in under a minute using a ZenRows task.

Web Scraping is the process of automatically collecting web data with specialized software. Every day trillions of GBs are created, making it impossible to keep track...