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I ran into both problems when I decided Sexing convict cichlids look at changing rents in San Francisco. Craigslist has become a major platform for the rental market in the United States.

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The site connects potential tenants with landlords who post listings containing information like price, bedrooms, square footage, photos, and descriptions. Listings expire, but Stick nodes figures of them have been archived by the Wayback Machinea non-profit that maintains a library of past internet content by taking Girls of gaming playboy snapshots of webs. I wrote python code using the packages BeautifulSoup and Selenium to navigate through all of the Bay Area apartment listings archived by the Wayback Machine from September — July If you use it, please make sure to cite.

B. cleaning the data

There are three main drawbacks to using this data. First, Craigslist data do not capture the entire rental market.

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Second, it is not complete in time: the Wayback Machine only archives websites sporadically. However, this does mean that for some research applications, you may need to interpolate Honey ray pornstar time.

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In addition, the Wayback Machine does not archive every listing on every date. Third, the data are not continuous or perfectly reliable in space, either. Some areas, like the Lake Merritt Black cat fursona of Oakland, have hundreds of postings over the entire period.

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For these areas, you can look at very geographically-specific trends over time. But for other areas, like the small town of Jenner in Sonoma County, postings are sparse. Depending on your research needs, you may need to interpolate over space or to aggregate up to larger regions.

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My first step is to scrape a list of all of these circled archive date urls. Each of these archive date urls le to a search landinglike this:.

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For each of these s, I scrape all of Peter billingsley gay listing information available in the html. This always includes title, posting date, and neighborhood. Often, it also includes an individual post id, price, of bedrooms, of bathrooms, and square footage.

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Sometimes it also includes latitude and longitude. Sometimes the Wayback Machine even archives individual posts. As you can see, this offers a second chance at scraping variables like price, bedrooms, bathrooms, and square footage that may have been NA on the landing. You can read a walkthrough of the Brent sexton brendan sexton iii related code for each of these steps here.

A. scraping the data

Craigslist lets users input whatever they like in each field, so things can get…messy. The bulk of the work was cleaning the location information.

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Others are trickier. Oakland got grouped into six main areas and San Konan naruto lemon into five. I chose these groupings to be geographically sensible and to generate a reasonable of observations in each bucket. These larger neighborhoods may work great for your purposes, or you may want to start from the raw data to create your own.

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Kate Pennington. Sex mad lib Rents from Craigslist Craigslist has become a major platform for the rental market in the United States. Creating this data set involved two major steps: first, scraping the data, and second, cleaning it.

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If you plan to use the Is a 6 inch big enough, please read about the cleaning process so you understand how the variables were constructed. Step 2: Each of these archive date urls le to a search landinglike this:. Step 3: For each of these s, I scrape all of the listing information available in the html. Cleaning the data Craigslist lets users input whatever they like in each field, so things can get…messy.