> For the complete documentation index, see [llms.txt](https://housing-base.journalismarena.eu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://housing-base.journalismarena.eu/short-term-rentals/data-sources-sets-and-visualisations/src-airbnb-data-2015-2019.md).

# SRC: Airbnb data (2015-2019)

* **Inside Airbnb**
  * Developed by artist, activist and researcher Murray Cox.
  * It contains data from Airbnb on cities all over the world starting in January 2015, and was last updated in November 2019.
  * <http://insideairbnb.com>

* **DataHippo Project**
  * Collective project based in Spain, starting in August 2017 and seemingly last updated in October 2018.
  * It contains data from Airbnb, HomeAway, HouseTrip and Only Apartments (known as Cerbium Holding from February 2018) on cities in Spain, Portugal and Andorra.
  * <https://datahippo.org/en>

* **Tom Slee**
  * Canadian software developer and author on the so-called sharing economy, compiled data from Airbnb on towns and cities all over the world from May 2014 to December 2017.
  * <http://tomslee.net/airbnb-data-collection-get-the-data>
  * Tom Slee's code to scrape Airbnb data: <https://github.com/tomslee/airbnb-data-collection>

* **AirDNA**

  * Private company offering short-term rental data analytics, says it tracks “over 10 million listings in 80,000 markets globally on Airbnb, Vrbo, and more”.
  * Its corporate headquarters are in Denver, while their sales and “customer success” office is in Barcelona.
  * At least some of their datasets are immediately downloadable as CSV after submitting some contact details (name, email address and phone).
  * [https://www.airdna.co](https://www.airdna.co/)

* **Airbnb Citizen**
  * It's part of the Airbnb company, and publishes reports (apparently only as PDF files) that include some data and put a very positive spin on Airbnb's impact everywhere.
  * [https://www.airbnbcitizen.com](https://www.airbnbcitizen.com/)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://housing-base.journalismarena.eu/short-term-rentals/data-sources-sets-and-visualisations/src-airbnb-data-2015-2019.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
