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...

12 Commits

Author SHA1 Message Date
Zachary Hampton
c597a78191 - None address bug fix 2023-10-18 16:32:43 -07:00
Zachary Hampton
11a7d854f0 - remove pending listings from for_sale 2023-10-18 14:41:41 -07:00
Zachary Hampton
f726548cc6 Update pyproject.toml 2023-10-18 09:35:48 -07:00
Zachary Hampton
fad7d670eb Update README.md 2023-10-18 08:37:42 -07:00
Zachary Hampton
89a6f93c9f Update pyproject.toml 2023-10-18 08:37:26 -07:00
Zachary Hampton
e1090b06e4 Update README.md 2023-10-17 20:22:25 -07:00
Cullen Watson
5036e74b60 Merge branch 'master' of https://github.com/ZacharyHampton/HomeHarvest 2023-10-09 11:30:17 -05:00
Cullen Watson
2cb544bc8d [chore] display clickable URLs in jupyter 2023-10-09 11:28:56 -05:00
Zachary Hampton
68cb365e03 Merge pull request #34 from ZacharyHampton/days_on_mls
[enh] days_on_mls attr
2023-10-09 09:04:59 -07:00
Cullen Watson
23876d5725 [chore] function types 2023-10-09 11:02:51 -05:00
Cullen Watson
b59d55f6b5 [enh] days_on_mls attr 2023-10-09 11:00:36 -05:00
Cullen Watson
3c3adb5f29 [docs] update video 2023-10-05 20:24:23 -05:00
7 changed files with 121 additions and 42 deletions

View File

@@ -6,9 +6,9 @@
**Not technical?** Try out the web scraping tool on our site at [tryhomeharvest.com](https://tryhomeharvest.com).
*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*
*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/bunsly/15min)** *to work with us.*
Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/JobSpy)** a Python package for job scraping*
Check out another project we wrote: ***[JobSpy](https://github.com/Bunsly/JobSpy)** a Python package for job scraping*
## HomeHarvest Features
@@ -20,7 +20,7 @@ Check out another project we wrote: ***[JobSpy](https://github.com/cullenwatson/
- **CLI**: For users who prefer command-line operations.
[Video Guide for HomeHarvest](https://youtu.be/JnV7eR2Ve2o) - _updated for release v0.2.7_
[Video Guide for HomeHarvest](https://youtu.be/J1qgNPgmSLI) - _updated for release v0.3.4_
![homeharvest](https://github.com/ZacharyHampton/HomeHarvest/assets/78247585/b3d5d727-e67b-4a9f-85d8-1e65fd18620a)
@@ -147,6 +147,7 @@ Property
│ └── lot_sqft
├── Property Listing Details:
│ ├── days_on_mls
│ ├── list_price
│ ├── list_date
│ ├── sold_price

View File

@@ -4,7 +4,9 @@
"cell_type": "code",
"execution_count": null,
"id": "cb48903e-5021-49fe-9688-45cd0bc05d0f",
"metadata": {},
"metadata": {
"is_executing": true
},
"outputs": [],
"source": [
"from homeharvest import scrape_property\n",
@@ -84,10 +86,34 @@
"outputs": [],
"source": [
"# check sold properties\n",
"scrape_property(\n",
"properties = scrape_property(\n",
" location=\"90210\",\n",
" listing_type=\"sold\"\n",
")"
" listing_type=\"sold\",\n",
" past_days=10\n",
")\n",
"display(properties)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "628c1ce2",
"metadata": {
"collapsed": false,
"is_executing": true,
"jupyter": {
"outputs_hidden": false
}
},
"outputs": [],
"source": [
"# display clickable URLs\n",
"from IPython.display import display, HTML\n",
"properties['property_url'] = '<a href=\"' + properties['property_url'] + '\" target=\"_blank\">' + properties['property_url'] + '</a>'\n",
"\n",
"html = properties.to_html(escape=False)\n",
"truncate_width = f'<style>.dataframe td {{ max-width: 200px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }}</style>{html}'\n",
"display(HTML(truncate_width))"
]
}
],

View File

@@ -59,6 +59,7 @@ class Property:
last_sold_date: str | None = None
prc_sqft: int | None = None
hoa_fee: int | None = None
days_on_mls: int | None = None
description: Description | None = None
latitude: float | None = None

View File

@@ -4,6 +4,7 @@ homeharvest.realtor.__init__
This module implements the scraper for realtor.com
"""
from datetime import datetime
from typing import Dict, Union, Optional
from concurrent.futures import ThreadPoolExecutor, as_completed
@@ -104,11 +105,29 @@ class RealtorScraper(Scraper):
)
able_to_get_lat_long = (
property_info
and property_info.get("address")
and property_info["address"].get("location")
and property_info["address"]["location"].get("coordinate")
property_info
and property_info.get("address")
and property_info["address"].get("location")
and property_info["address"]["location"].get("coordinate")
)
list_date_str = property_info["basic"]["list_date"].split("T")[0] if property_info["basic"].get(
"list_date") else None
last_sold_date_str = property_info["basic"]["sold_date"].split("T")[0] if property_info["basic"].get(
"sold_date") else None
list_date = datetime.strptime(list_date_str, "%Y-%m-%d") if list_date_str else None
last_sold_date = datetime.strptime(last_sold_date_str, "%Y-%m-%d") if last_sold_date_str else None
today = datetime.now()
days_on_mls = None
status = property_info["basic"]["status"].lower()
if list_date:
if status == "sold" and last_sold_date:
days_on_mls = (last_sold_date - list_date).days
elif status in ('for_sale', 'for_rent'):
days_on_mls = (today - list_date).days
if days_on_mls and days_on_mls < 0:
days_on_mls = None
listing = Property(
mls=mls,
@@ -118,17 +137,13 @@ class RealtorScraper(Scraper):
property_url=f"{self.PROPERTY_URL}{property_info['details']['permalink']}",
status=property_info["basic"]["status"].upper(),
list_price=property_info["basic"]["price"],
list_date=property_info["basic"]["list_date"].split("T")[0]
if property_info["basic"].get("list_date")
else None,
list_date=list_date,
prc_sqft=property_info["basic"].get("price")
/ property_info["basic"].get("sqft")
/ property_info["basic"].get("sqft")
if property_info["basic"].get("price")
and property_info["basic"].get("sqft")
else None,
last_sold_date=property_info["basic"]["sold_date"].split("T")[0]
if property_info["basic"].get("sold_date")
and property_info["basic"].get("sqft")
else None,
last_sold_date=last_sold_date,
latitude=property_info["address"]["location"]["coordinate"].get("lat")
if able_to_get_lat_long
else None,
@@ -148,6 +163,7 @@ class RealtorScraper(Scraper):
garage=property_info["details"].get("garage"),
stories=property_info["details"].get("stories"),
),
days_on_mls=days_on_mls
)
return [listing]
@@ -455,6 +471,9 @@ class RealtorScraper(Scraper):
is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
if is_pending and self.listing_type != ListingType.PENDING:
continue
realty_property = Property(
mls=mls,
mls_id=result["source"].get("listing_id")
@@ -478,8 +497,8 @@ class RealtorScraper(Scraper):
if able_to_get_lat_long
else None,
address=self._parse_address(result, search_type="general_search"),
#: neighborhoods=self._parse_neighborhoods(result),
description=self._parse_description(result),
days_on_mls=self.calculate_days_on_mls(result)
)
properties.append(realty_property)
@@ -568,21 +587,28 @@ class RealtorScraper(Scraper):
return ", ".join(neighborhoods_list) if neighborhoods_list else None
@staticmethod
def _parse_address(result: dict, search_type):
def handle_none_safely(address_part):
if address_part is None:
return ""
return address_part
def _parse_address(self, result: dict, search_type):
if search_type == "general_search":
return Address(
street=f"{result['location']['address']['street_number']} {result['location']['address']['street_name']} {result['location']['address']['street_suffix']}",
unit=result["location"]["address"]["unit"],
city=result["location"]["address"]["city"],
state=result["location"]["address"]["state_code"],
zip=result["location"]["address"]["postal_code"],
)
address = result['location']['address']
else:
address = result["address"]
return Address(
street=f"{result['address']['street_number']} {result['address']['street_name']} {result['address']['street_suffix']}",
unit=result["address"]["unit"],
city=result["address"]["city"],
state=result["address"]["state_code"],
zip=result["address"]["postal_code"],
street=" ".join([
self.handle_none_safely(address.get('street_number')),
self.handle_none_safely(address.get('street_name')),
self.handle_none_safely(address.get('street_suffix')),
]).strip(),
unit=address["unit"],
city=address["city"],
state=address["state_code"],
zip=address["postal_code"],
)
@staticmethod
@@ -590,7 +616,6 @@ class RealtorScraper(Scraper):
description_data = result.get("description", {})
if description_data is None or not isinstance(description_data, dict):
print("Warning: description_data is invalid!")
description_data = {}
style = description_data.get("type", "")
@@ -609,3 +634,22 @@ class RealtorScraper(Scraper):
garage=description_data.get("garage"),
stories=description_data.get("stories"),
)
@staticmethod
def calculate_days_on_mls(result: dict) -> Optional[int]:
list_date_str = result.get("list_date")
list_date = datetime.strptime(list_date_str.split("T")[0], "%Y-%m-%d") if list_date_str else None
last_sold_date_str = result.get("last_sold_date")
last_sold_date = datetime.strptime(last_sold_date_str, "%Y-%m-%d") if last_sold_date_str else None
today = datetime.now()
if list_date:
if result["status"] == 'sold':
if last_sold_date:
days = (last_sold_date - list_date).days
if days >= 0:
return days
elif result["status"] in ('for_sale', 'for_rent'):
days = (today - list_date).days
if days >= 0:
return days

View File

@@ -18,6 +18,7 @@ ordered_properties = [
"half_baths",
"sqft",
"year_built",
"days_on_mls",
"list_price",
"list_date",
"sold_price",

View File

@@ -1,9 +1,9 @@
[tool.poetry]
name = "homeharvest"
version = "0.3.4"
version = "0.3.7"
description = "Real estate scraping library supporting Zillow, Realtor.com & Redfin."
authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
homepage = "https://github.com/ZacharyHampton/HomeHarvest"
homepage = "https://github.com/Bunsly/HomeHarvest"
readme = "README.md"
[tool.poetry.scripts]

View File

@@ -7,14 +7,10 @@ from homeharvest.exceptions import (
def test_realtor_pending_or_contingent():
pending_or_contingent_result = scrape_property(
location="Surprise, AZ",
listing_type="pending"
location="Surprise, AZ", listing_type="pending"
)
regular_result = scrape_property(
location="Surprise, AZ",
listing_type="for_sale"
)
regular_result = scrape_property(location="Surprise, AZ", listing_type="for_sale")
assert all(
[
@@ -54,6 +50,16 @@ def test_realtor_pending_comps():
assert len(set([len(result) for result in results])) == len(results)
def test_realtor_sold_past():
result = scrape_property(
location="San Diego, CA",
past_days=30,
listing_type="sold",
)
assert result is not None and len(result) > 0
def test_realtor_comps():
result = scrape_property(
location="2530 Al Lipscomb Way",