Scrape Real-Estate data with Web Scraper API

There are multiple kinds of real estate data that you can scrape and use for your business’s advantage. These include but are not limited to: property type, size, geo-location, sale prices, amenities, monthly rental pricing. 

Take a look at the process of scraping real estate data with Python.

We offer a free Scheduler feature to help you efficiently automate your recurring scraping jobs by scheduling them. The best part is that it's easy to set it up. If you want to start using a Scheduler feature, you should follow these simple steps:

1. Tell us how often we should repeat the scraping jobs by submitting a cron schedule expression;
2. Give us a bunch of job parameter sets we should execute at scheduled times. You'll find all available parameters in Real Estate Scraper API documentation;
3. Let us know when to stop by submitting the end time.

Check out our documentation for more detailed information on scheduling your jobs. If you're interested in starting using our Real Estate Scraper API or have questions regarding the new Scheduler feature, drop us a line at support@oxylabs.io.

Real Estate Scraper API delivers results almost in real-time. On average, it takes from four seconds to a maximum of a few minutes, however, the precise data delivery time depends on the website you’re scraping. For more details, contact your Account Manager or our support team.

Similar to all other kinds of publicly-available data, real estate data scraping can be performed when you scrape without breaking any rules or applicable laws surrounding the targeted websites or gathered data. For more detailed information regarding legality in web scraping, check out our extensive blog post.