Datafiniti was built out of 80legs, a Web crawling service, in 2012 after finding that there was a strong need for custom data sets to help companies grow their business. Today, the company provides data sets to companies like MailChimp, HubSpot, Nickelodeon and Lightstone Property.

Takeaways:

  • Datafiniti scans 10 million to 12 million URLs to collect property data information.
  • The company provides its clients regularly updated property information and data like size, location, beds and bathrooms, and neighborhood trends.
  • Datafiniti collects its data from public sources and uses high ethical standards to gather it appropriately.

Datafiniti was built out of 80legs, a Web crawling service, in 2012 after finding that there was a strong need for custom data sets to help companies grow their business. Today, the company provides data sets to companies like MailChimp, HubSpot, Nickelodeon and Lightstone Property.

On Aug. 18, Datafiniti announced its expansion to the real estate and short-term rental space using its proprietary technology to collect and clean public data from sites like Zillow and Airbnb. According to C.K. Kumar, vice president of marketing at Datafiniti, the company “takes the entire Web, distills all the information and puts it into a single database.”

The launch of this new arm of the company is specifically geared toward larger property management companies and real estate brokerages, as well as companies that deal wholly in the short-term rental industry.

On a daily basis, the Datafiniti technology scans through 10 million to 12 million URLs to update current listing information and add new stats to the database. The company hopes to be able to scan even more sites with its new, larger system.

Datafiniti provides raw data in the form of a standard spreadsheet for its clients to “slice and dice” as they need to. Immediacy, accuracy and clarity of the data are the the most important components, according to Kumar, who says their daily updating gives them an edge up on the competitors.

datafiniti

The data collected includes the address of a space, price, size, number of bathrooms and bedrooms, the date the listing was added and the date the property was updated.

The price range for the data sets depends on the records that each company is looking for, but smaller groups will pay around $650 for 100,000 records. Datafiniti’s API allows users to access this information from a browser or while integrated into a company’s software or application.

Datafiniti’s goal? To have coverage of all available listings by the end of the year.

Email Kimberly Manning.

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