Knowledge Base

Learn how to use and integrate ZenRows in your codebase

How to Export Data to CSV

Learn how to export scrapped data into CSV using ZenRows — either receiving plain HTML and writing custom parsers or autoparse feature returning JSON responses.
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Javascript Instructions

Execute commands to control browsers as real users would. Click on elements, scroll, fill input fields, load dynamic content and wait for elements before return...
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Using Concurrency

Take advantage of parallel requests to speed up your crawling, thanks to concurrency. Request URLs simultaneously and add others when a thread is available.
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Get a Page Like a Mobile User

Crawl websites as a mobile browser to obtain different or optimized content. They tend to load fewer resources and smaller images, thus hastening your crawling.
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Block Resources

Avoid downloading data you don't need by blocking resources by type. No need to wait for fonts, images, or stylesheets, thus speeding up the scraping.
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How to Extract Data

Extract data directly from ZenRows API using CSS selectors, or get the Plain HTML and process it with external libraries such as BeautifulSoup or Cheerio.
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Scrape from a List of URLs

Scrape content starting with a URL list. Iterate over them with a loop or parallelize requests and save time, but that complexity comes with some downsides.
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Retry Failed Requests

Automatically retry failed requests in your scraping project. Achieve a 100% success rate with a simple setup. Examples are available in Python and Javascript.
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