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Zachary Hampton 2023-09-19 11:08:08 -07:00 committed by GitHub
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@ -35,16 +35,17 @@ properties: pd.DataFrame = scrape_property(
#: Note, to export to CSV or Excel, use properties.to_csv() or properties.to_excel().
print(properties)
```
## Output
```py
>>> properties.head()
street city ... mls_id description
0 420 N Scottsdale Rd Tempe ... NaN NaN
1 1255 E University Dr Tempe ... NaN NaN
2 1979 E Rio Salado Pkwy Tempe ... NaN NaN
3 548 S Wilson St Tempe ... None None
4 945 E Playa Del Norte Dr Unit 4027 Tempe ... NaN NaN
[5 rows x 23 columns]
property_url site_name listing_type apt_min_price apt_max_price ...
0 https://www.redfin.com/AZ/Tempe/1003-W-Washing... redfin for_rent 1666.0 2750.0 ...
1 https://www.redfin.com/AZ/Tempe/VELA-at-Town-L... redfin for_rent 1665.0 3763.0 ...
2 https://www.redfin.com/AZ/Tempe/Camden-Tempe/a... redfin for_rent 1939.0 3109.0 ...
3 https://www.redfin.com/AZ/Tempe/Emerson-Park/a... redfin for_rent 1185.0 1817.0 ...
4 https://www.redfin.com/AZ/Tempe/Rio-Paradiso-A... redfin for_rent 1470.0 2235.0 ...
[5 rows x 41 columns]
```
### Parameters for `scrape_properties()`