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HomeHarvest
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- rewrote & optimized flow 

- new_construction data point
- renamed "agent" & "broker" to "agent_name" & "broker_name"
- added builder & office data
- added entity uuids
master v0.4.0
Zachary Hampton 2024-08-20 05:19:15 -07:00
parent 6d14b8df5a
commit 32fdc281e3
7 changed files with 415 additions and 484 deletions
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27
README.md
View File

@ -92,7 +92,7 @@ Optional
│
├── proxy (string): In format 'http://user:pass@host:port'
│
├── extra_property_data (True/False): Increases requests by O(n). If set, this fetches additional property data (e.g. agent, broker, property evaluations etc.)
├── extra_property_data (True/False): Increases requests by O(n). If set, this fetches additional property data for general searches (e.g. schools, tax appraisals etc.)
│
├── exclude_pending (True/False): If set, excludes pending properties from the results unless listing_type is 'pending'
│
@ -123,6 +123,7 @@ Property
│ ├── sqft
│ ├── year_built
│ ├── stories
│ ├── garage
│ └── lot_sqft
├── Property Listing Details:
@ -135,7 +136,7 @@ Property
│ ├── sold_price
│ ├── last_sold_date
│ ├── price_per_sqft
│ ├── parking_garage
│ ├── new_construction
│ └── hoa_fee
├── Location Details:
@ -143,21 +144,31 @@ Property
│ ├── longitude
│ ├── nearby_schools
├── Agent Info:
│ ├── agent
│ ├── agent_id
│ ├── agent_name
│ ├── agent_email
│ └── agent_phone
├── Broker Info:
│ ├── broker
│ ├── broker_email
│ └── broker_website
│ ├── broker_id
│ └── broker_name
├── Builder Info:
│ ├── builder_id
│ └── builder_name
├── Office Info:
│ ├── office_id
│ ├── office_name
│ ├── office_phones
│ └── office_email
```
### Exceptions
The following exceptions may be raised when using HomeHarvest:
- `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`
- `InvalidListingType` - valid options: `for_sale`, `for_rent`, `sold`, `pending`.
- `InvalidDate` - date_from or date_to is not in the format YYYY-MM-DD.
- `AuthenticationError` - Realtor.com token request failed.

40
homeharvest/core/scrapers/models.py
View File

@ -90,18 +90,41 @@ class AgentPhone: #: For documentation purposes only (at the moment)
@dataclass
class Agent:
name: str | None = None
class Entity:
name: str
uuid: str | None = None
@dataclass
class Agent(Entity):
phones: list[dict] | AgentPhone | None = None
email: str | None = None
href: str | None = None
@dataclass
class Broker:
name: str | None = None
phone: str | None = None
website: str | None = None
class Office(Entity):
email: str | None = None
href: str | None = None
phones: list[dict] | AgentPhone | None = None
@dataclass
class Broker(Entity):
pass
@dataclass
class Builder(Entity):
pass
@dataclass
class Advertisers:
agent: Agent | None = None
broker: Broker | None = None
builder: Builder | None = None
office: Office | None = None
@dataclass
@ -120,6 +143,7 @@ class Property:
pending_date: str | None = None
last_sold_date: str | None = None
prc_sqft: int | None = None
new_construction: bool | None = None
hoa_fee: int | None = None
days_on_mls: int | None = None
description: Description | None = None
@ -129,8 +153,8 @@ class Property:
neighborhoods: Optional[str] = None
county: Optional[str] = None
fips_code: Optional[str] = None
agents: list[Agent] | None = None
brokers: list[Broker] | None = None
nearby_schools: list[str] = None
assessed_value: int | None = None
estimated_value: int | None = None
advertisers: Advertisers | None = None

607
homeharvest/core/scrapers/realtor/__init__.py
View File

@ -11,7 +11,8 @@ from datetime import datetime
from typing import Dict, Union, Optional
from .. import Scraper
from ..models import Property, Address, ListingType, Description, PropertyType, Agent, Broker
from ..models import Property, Address, ListingType, Description, PropertyType, Agent, Broker, Builder, Advertisers, Office
from .queries import GENERAL_RESULTS_QUERY, SEARCH_HOMES_DATA, HOMES_DATA
class RealtorScraper(Scraper):
@ -46,155 +47,6 @@ class RealtorScraper(Scraper):
return result[0]
def handle_listing(self, listing_id: str) -> list[Property]:
query = """query Listing($listing_id: ID!) {
listing(id: $listing_id) {
source {
id
listing_id
}
address {
line
street_direction
street_number
street_name
street_suffix
unit
city
state_code
postal_code
location {
coordinate {
lat
lon
}
}
}
basic {
sqft
beds
baths_full
baths_half
lot_sqft
sold_price
type
price
status
sold_date
list_date
}
details {
year_built
stories
garage
permalink
}
media {
photos {
href
}
}
}
}"""
variables = {"listing_id": listing_id}
payload = {
"query": query,
"variables": variables,
}
response = self.session.post(self.SEARCH_GQL_URL, json=payload)
response_json = response.json()
property_info = response_json["data"]["listing"]
mls = (
property_info["source"].get("id")
if "source" in property_info and isinstance(property_info["source"], dict)
else None
)
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")
)
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
)
pending_date_str = property_info["pending_date"].split("T")[0] if property_info.get("pending_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
pending_date = datetime.strptime(pending_date_str, "%Y-%m-%d") if pending_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
property_id = property_info["details"]["permalink"]
prop_details = self.get_prop_details(property_id)
style = property_info["basic"].get("type", "").upper()
listing = Property(
mls=mls,
mls_id=(
property_info["source"].get("listing_id")
if "source" in property_info and isinstance(property_info["source"], dict)
else None
),
property_url=f"{self.PROPERTY_URL}{property_id}",
status=property_info["basic"]["status"].upper(),
list_price=property_info["basic"]["price"],
list_date=list_date,
prc_sqft=(
property_info["basic"].get("price") / property_info["basic"].get("sqft")
if property_info["basic"].get("price") and property_info["basic"].get("sqft")
else None
),
last_sold_date=last_sold_date,
pending_date=pending_date,
latitude=property_info["address"]["location"]["coordinate"].get("lat") if able_to_get_lat_long else None,
longitude=property_info["address"]["location"]["coordinate"].get("lon") if able_to_get_lat_long else None,
address=self._parse_address(property_info, search_type="handle_listing"),
description=Description(
alt_photos=(
self.process_alt_photos(property_info["media"].get("photos", []))
if property_info.get("media")
else None
),
style=PropertyType.__getitem__(style) if style and style in PropertyType.__members__ else None,
beds=property_info["basic"].get("beds"),
baths_full=property_info["basic"].get("baths_full"),
baths_half=property_info["basic"].get("baths_half"),
sqft=property_info["basic"].get("sqft"),
lot_sqft=property_info["basic"].get("lot_sqft"),
sold_price=property_info["basic"].get("sold_price"),
year_built=property_info["details"].get("year_built"),
garage=property_info["details"].get("garage"),
stories=property_info["details"].get("stories"),
text=property_info.get("description", {}).get("text"),
),
days_on_mls=days_on_mls,
agents=prop_details.get("agents"),
brokers=prop_details.get("brokers"),
nearby_schools=prop_details.get("schools"),
assessed_value=prop_details.get("assessed_value"),
estimated_value=prop_details.get("estimated_value"),
)
return [listing]
def get_latest_listing_id(self, property_id: str) -> str | None:
query = """query Property($property_id: ID!) {
property(id: $property_id) {
@ -228,65 +80,12 @@ class RealtorScraper(Scraper):
else:
return property_info["listings"][0]["listing_id"]
def handle_address(self, property_id: str) -> list[Property]:
"""
Handles a specific address & returns one property
"""
query = """query Property($property_id: ID!) {
property(id: $property_id) {
property_id
details {
date_updated
garage
permalink
year_built
stories
}
address {
line
street_direction
street_number
street_name
street_suffix
unit
city
state_code
postal_code
location {
coordinate {
lat
lon
}
}
}
basic {
baths
beds
price
sqft
lot_sqft
type
sold_price
}
public_record {
lot_size
sqft
stories
units
year_built
}
primary_photo {
href
}
photos {
href
}
}
}"""
def handle_home(self, property_id: str) -> list[Property]:
query = """query Home($property_id: ID!) {
home(property_id: $property_id) %s
}""" % HOMES_DATA
variables = {"property_id": property_id}
prop_details = self.get_prop_details(property_id)
payload = {
"query": query,
"variables": variables,
@ -295,103 +94,123 @@ class RealtorScraper(Scraper):
response = self.session.post(self.SEARCH_GQL_URL, json=payload)
response_json = response.json()
property_info = response_json["data"]["property"]
property_info = response_json["data"]["home"]
return [
Property(
mls_id=property_id,
property_url=f"{self.PROPERTY_URL}{property_info['details']['permalink']}",
address=self._parse_address(property_info, search_type="handle_address"),
description=self._parse_description(property_info),
agents=prop_details.get("agents"),
brokers=prop_details.get("brokers"),
self.process_property(property_info, "home")
]
@staticmethod
def process_advertisers(advertisers: list[dict] | None) -> Advertisers | None:
if not advertisers:
return None
def _parse_fulfillment_id(fulfillment_id: str | None) -> str | None:
return fulfillment_id if fulfillment_id and fulfillment_id != "0" else None
processed_advertisers = Advertisers()
for advertiser in advertisers:
advertiser_type = advertiser.get("type")
if advertiser_type == "seller": #: agent
processed_advertisers.agent = Agent(
uuid=advertiser.get("mls_set"),
name=advertiser.get("name"),
email=advertiser.get("email"),
phones=advertiser.get("phones"),
)
if advertiser.get('broker') and advertiser["broker"].get('name'): #: has a broker
processed_advertisers.broker = Broker(
uuid=_parse_fulfillment_id(advertiser["broker"].get("fulfillment_id")),
name=advertiser["broker"].get("name"),
)
if advertiser.get("office"): #: has an office
processed_advertisers.office = Office(
uuid=_parse_fulfillment_id(advertiser["office"].get("fulfillment_id")) or advertiser["office"].get("mls_set"),
name=advertiser["office"].get("name"),
email=advertiser["office"].get("email"),
phones=advertiser["office"].get("phones"),
)
if advertiser_type == "community": #: could be builder
if advertiser.get("builder"):
processed_advertisers.builder = Builder(
uuid=_parse_fulfillment_id(advertiser["builder"].get("fulfillment_id")),
name=advertiser["builder"].get("name"),
)
return processed_advertisers
def process_property(self, result: dict, query_name: str) -> Property | None:
mls = result["source"].get("id") if "source" in result and isinstance(result["source"], dict) else None
if not mls and self.mls_only:
return
able_to_get_lat_long = (
result
and result.get("location")
and result["location"].get("address")
and result["location"]["address"].get("coordinate")
)
is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
if is_pending and (self.exclude_pending and self.listing_type != ListingType.PENDING):
return
property_id = result["property_id"]
prop_details = self.get_prop_details(property_id) if self.extra_property_data and query_name != "home" else {}
if not prop_details:
prop_details = self.process_extra_property_details(result)
property_estimates_root = result.get("current_estimates") or result.get("estimates", {}).get("currentValues")
estimated_value = self.get_key(property_estimates_root, [0, "estimate"])
advertisers = self.process_advertisers(result.get("advertisers"))
realty_property = Property(
mls=mls,
mls_id=(
result["source"].get("listing_id")
if "source" in result and isinstance(result["source"], dict)
else None
),
property_url=(
f"{self.PROPERTY_URL}{property_id}"
if self.listing_type != ListingType.FOR_RENT
else f"{self.PROPERTY_URL}M{property_id}?listing_status=rental"
),
status="PENDING" if is_pending else result["status"].upper(),
list_price=result["list_price"],
list_price_min=result["list_price_min"],
list_price_max=result["list_price_max"],
list_date=result["list_date"].split("T")[0] if result.get("list_date") else None,
prc_sqft=result.get("price_per_sqft"),
last_sold_date=result.get("last_sold_date"),
new_construction=result["flags"].get("is_new_construction") is True,
hoa_fee=result["hoa"]["fee"] if result.get("hoa") and isinstance(result["hoa"], dict) else None,
latitude=result["location"]["address"]["coordinate"].get("lat") if able_to_get_lat_long else None,
longitude=result["location"]["address"]["coordinate"].get("lon") if able_to_get_lat_long else None,
address=self._parse_address(result, search_type="general_search"),
description=self._parse_description(result),
neighborhoods=self._parse_neighborhoods(result),
county=result["location"]["county"].get("name") if result["location"]["county"] else None,
fips_code=result["location"]["county"].get("fips_code") if result["location"]["county"] else None,
days_on_mls=self.calculate_days_on_mls(result),
nearby_schools=prop_details.get("schools"),
assessed_value=prop_details.get("assessed_value"),
estimated_value=prop_details.get("estimated_value"),
estimated_value=estimated_value if estimated_value else None,
advertisers=advertisers,
)
]
return realty_property
def general_search(self, variables: dict, search_type: str) -> Dict[str, Union[int, list[Property]]]:
"""
Handles a location area & returns a list of properties
"""
results_query = """{
count
total
results {
pending_date
property_id
list_date
status
last_sold_price
last_sold_date
list_price
list_price_max
list_price_min
price_per_sqft
flags {
is_contingent
is_pending
}
description {
type
sqft
beds
baths_full
baths_half
lot_sqft
sold_price
year_built
garage
sold_price
type
name
stories
text
}
source {
id
listing_id
}
hoa {
fee
}
location {
address {
street_direction
street_number
street_name
street_suffix
line
unit
city
state_code
postal_code
coordinate {
lon
lat
}
}
county {
name
fips_code
}
neighborhoods {
name
}
}
tax_record {
public_record_id
}
primary_photo {
href
}
photos {
href
}
}
}
}"""
date_param = ""
if self.listing_type == ListingType.SOLD:
@ -443,13 +262,14 @@ class RealtorScraper(Scraper):
%s
limit: 200
offset: $offset
) %s""" % (
) %s
}""" % (
is_foreclosure,
listing_type.value.lower(),
date_param,
pending_or_contingent_param,
sort_param,
results_query,
GENERAL_RESULTS_QUERY,
)
elif search_type == "area": #: general search, came from a general location
query = """query Home_search(
@ -473,13 +293,14 @@ class RealtorScraper(Scraper):
%s
limit: 200
offset: $offset
) %s""" % (
) %s
}""" % (
is_foreclosure,
listing_type.value.lower(),
date_param,
pending_or_contingent_param,
sort_param,
results_query,
GENERAL_RESULTS_QUERY,
)
else: #: general search, came from an address
query = (
@ -487,14 +308,15 @@ class RealtorScraper(Scraper):
$property_id: [ID]!
$offset: Int!,
) {
property_search(
home_search(
query: {
property_id: $property_id
}
limit: 1
offset: $offset
) %s"""
% results_query
) %s
}"""
% GENERAL_RESULTS_QUERY
)
payload = {
@ -518,63 +340,6 @@ class RealtorScraper(Scraper):
):
return {"total": 0, "properties": []}
def process_property(result: dict) -> Property | None:
mls = result["source"].get("id") if "source" in result and isinstance(result["source"], dict) else None
if not mls and self.mls_only:
return
able_to_get_lat_long = (
result
and result.get("location")
and result["location"].get("address")
and result["location"]["address"].get("coordinate")
)
is_pending = result["flags"].get("is_pending") or result["flags"].get("is_contingent")
if is_pending and (self.exclude_pending and self.listing_type != ListingType.PENDING):
return
property_id = result["property_id"]
prop_details = self.get_prop_details(property_id) if self.extra_property_data else {}
realty_property = Property(
mls=mls,
mls_id=(
result["source"].get("listing_id")
if "source" in result and isinstance(result["source"], dict)
else None
),
property_url=(
f"{self.PROPERTY_URL}{property_id}"
if self.listing_type != ListingType.FOR_RENT
else f"{self.PROPERTY_URL}M{property_id}?listing_status=rental"
),
status="PENDING" if is_pending else result["status"].upper(),
list_price=result["list_price"],
list_price_min=result["list_price_min"],
list_price_max=result["list_price_max"],
list_date=result["list_date"].split("T")[0] if result.get("list_date") else None,
prc_sqft=result.get("price_per_sqft"),
last_sold_date=result.get("last_sold_date"),
hoa_fee=result["hoa"]["fee"] if result.get("hoa") and isinstance(result["hoa"], dict) else None,
latitude=result["location"]["address"]["coordinate"].get("lat") if able_to_get_lat_long else None,
longitude=result["location"]["address"]["coordinate"].get("lon") if able_to_get_lat_long else None,
address=self._parse_address(result, search_type="general_search"),
description=self._parse_description(result),
neighborhoods=self._parse_neighborhoods(result),
county=result["location"]["county"].get("name") if result["location"]["county"] else None,
fips_code=result["location"]["county"].get("fips_code") if result["location"]["county"] else None,
days_on_mls=self.calculate_days_on_mls(result),
agents=prop_details.get("agents"),
brokers=prop_details.get("brokers"),
nearby_schools=prop_details.get("schools"),
assessed_value=prop_details.get("assessed_value"),
estimated_value=prop_details.get("estimated_value"),
)
return realty_property
properties_list = response_json["data"][search_key]["results"]
total_properties = response_json["data"][search_key]["total"]
offset = variables.get("offset", 0)
@ -585,7 +350,7 @@ class RealtorScraper(Scraper):
with ThreadPoolExecutor(max_workers=self.NUM_PROPERTY_WORKERS) as executor:
futures = [
executor.submit(process_property, result) for result in properties_list
executor.submit(self.process_property, result, search_key) for result in properties_list
]
for future in as_completed(futures):
@ -617,17 +382,7 @@ class RealtorScraper(Scraper):
if location_type == "address":
if not self.radius: #: single address search, non comps
property_id = location_info["mpr_id"]
search_variables |= {"property_id": property_id}
gql_results = self.general_search(search_variables, search_type=search_type)
if gql_results["total"] == 0:
listing_id = self.get_latest_listing_id(property_id)
if listing_id is None:
return self.handle_address(property_id)
else:
return self.handle_listing(listing_id)
else:
return gql_results["properties"]
return self.handle_home(property_id)
else: #: general search, comps (radius)
if not location_info.get("centroid"):
@ -674,55 +429,8 @@ class RealtorScraper(Scraper):
return homes
def get_prop_details(self, property_id: str) -> dict:
if not self.extra_property_data:
return {}
#: TODO: migrate "advertisers" and "estimates" to general query
query = """query GetHome($property_id: ID!) {
home(property_id: $property_id) {
__typename
advertisers {
__typename
type
name
email
phones { number type ext primary }
}
consumer_advertisers {
name
phone
href
type
}
nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {
__typename schools { district { __typename id name } }
}
taxHistory: tax_history { __typename tax year assessment { __typename building land total } }
estimates {
__typename
currentValues: current_values {
__typename
source { __typename type name }
estimate
estimateHigh: estimate_high
estimateLow: estimate_low
date
isBestHomeValue: isbest_homevalue
}
}
}
}"""
variables = {"property_id": property_id}
response = self.session.post(self.PROPERTY_GQL, json={"query": query, "variables": variables})
data = response.json()
def get_key(keys: list):
@staticmethod
def get_key(data: dict, keys: list):
try:
value = data
for key in keys:
@ -732,30 +440,39 @@ class RealtorScraper(Scraper):
except (KeyError, TypeError, IndexError):
return {}
agents = get_key(["data", "home", "advertisers"])
advertisers = get_key(["data", "home", "consumer_advertisers"])
schools = get_key(["data", "home", "nearbySchools", "schools"])
assessed_value = get_key(["data", "home", "taxHistory", 0, "assessment", "total"])
estimated_value = get_key(["data", "home", "estimates", "currentValues", 0, "estimate"])
agents = [Agent(name=ad["name"], email=ad["email"], phones=ad["phones"]) for ad in agents]
brokers = [
Broker(name=ad["name"], phone=ad["phone"], website=ad["href"])
for ad in advertisers
if ad.get("type") != "Agent"
]
def process_extra_property_details(self, result: dict) -> dict:
schools = self.get_key(result, ["nearbySchools", "schools"])
assessed_value = self.get_key(result, ["taxHistory", 0, "assessment", "total"])
schools = [school["district"]["name"] for school in schools if school["district"].get("name")]
return {
"agents": agents if agents else None,
"brokers": brokers if brokers else None,
"schools": schools if schools else None,
"assessed_value": assessed_value if assessed_value else None,
"estimated_value": estimated_value if estimated_value else None,
}
def get_prop_details(self, property_id: str) -> dict:
if not self.extra_property_data:
return {}
query = """query GetHome($property_id: ID!) {
home(property_id: $property_id) {
__typename
nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {
__typename schools { district { __typename id name } }
}
taxHistory: tax_history { __typename tax year assessment { __typename building land total } }
}
}"""
variables = {"property_id": property_id}
response = self.session.post(self.PROPERTY_GQL, json={"query": query, "variables": variables})
data = response.json()
property_details = data["data"]["home"]
return self.process_extra_property_details(property_details)
@staticmethod
def _parse_neighborhoods(result: dict) -> Optional[str]:
neighborhoods_list = []
@ -829,7 +546,7 @@ class RealtorScraper(Scraper):
sqft=description_data.get("sqft"),
lot_sqft=description_data.get("lot_sqft"),
sold_price=(
description_data.get("sold_price")
result.get('last_sold_price') or description_data.get("sold_price")
if result.get("last_sold_date") or result["list_price"] != description_data.get("sold_price")
else None
), #: has a sold date or list and sold price are different
@ -859,14 +576,8 @@ class RealtorScraper(Scraper):
return days
@staticmethod
def process_alt_photos(photos_info):
try:
alt_photos = []
if photos_info:
for photo_info in photos_info:
href = photo_info.get("href", "")
alt_photo_href = href.replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75")
alt_photos.append(alt_photo_href)
return alt_photos
except Exception:
pass
def process_alt_photos(photos_info: list[dict]) -> list[str] | None:
if not photos_info:
return None
return [photo_info["href"].replace("s.jpg", "od-w480_h360_x2.webp?w=1080&q=75") for photo_info in photos_info if photo_info.get("href")]

161
homeharvest/core/scrapers/realtor/queries.py Normal file
View File

@ -0,0 +1,161 @@
_SEARCH_HOMES_DATA_BASE = """{
pending_date
listing_id
property_id
list_date
status
last_sold_price
last_sold_date
list_price
list_price_max
list_price_min
price_per_sqft
flags {
is_contingent
is_pending
is_new_construction
}
description {
type
sqft
beds
baths_full
baths_half
lot_sqft
year_built
garage
type
name
stories
text
}
source {
id
listing_id
}
hoa {
fee
}
location {
address {
street_direction
street_number
street_name
street_suffix
line
unit
city
state_code
postal_code
coordinate {
lon
lat
}
}
county {
name
fips_code
}
neighborhoods {
name
}
}
tax_record {
public_record_id
}
primary_photo {
href
}
photos {
href
}
advertisers {
email
broker {
name
fulfillment_id
}
type
name
fulfillment_id
builder {
name
fulfillment_id
}
phones {
ext
primary
type
number
}
office {
name
email
fulfillment_id
href
phones {
number
type
primary
ext
}
mls_set
}
corporation {
specialties
name
bio
href
fulfillment_id
}
mls_set
rental_corporation {
fulfillment_id
}
rental_management {
name
fulfillment_id
}
}
"""
HOMES_DATA = """%s
nearbySchools: nearby_schools(radius: 5.0, limit_per_level: 3) {
__typename schools { district { __typename id name } }
}
taxHistory: tax_history { __typename tax year assessment { __typename building land total } }
estimates {
__typename
currentValues: current_values {
__typename
source { __typename type name }
estimate
estimateHigh: estimate_high
estimateLow: estimate_low
date
isBestHomeValue: isbest_homevalue
}
}
}""" % _SEARCH_HOMES_DATA_BASE
SEARCH_HOMES_DATA = """%s
current_estimates {
__typename
source {
__typename
type
name
}
estimate
estimateHigh: estimate_high
estimateLow: estimate_low
date
isBestHomeValue: isbest_homevalue
}
}""" % _SEARCH_HOMES_DATA_BASE
GENERAL_RESULTS_QUERY = """{
count
total
results %s
}""" % SEARCH_HOMES_DATA

53
homeharvest/utils.py
View File

@ -1,7 +1,7 @@
from __future__ import annotations
import pandas as pd
from datetime import datetime
from .core.scrapers.models import Property, ListingType, Agent
from .core.scrapers.models import Property, ListingType, Advertisers
from .exceptions import InvalidListingType, InvalidDate
ordered_properties = [
@ -31,6 +31,7 @@ ordered_properties = [
"last_sold_date",
"assessed_value",
"estimated_value",
"new_construction",
"lot_sqft",
"price_per_sqft",
"latitude",
@ -41,12 +42,18 @@ ordered_properties = [
"stories",
"hoa_fee",
"parking_garage",
"agent",
"agent_id",
"agent_name",
"agent_email",
"agent_phones",
"broker",
"broker_phone",
"broker_website",
"broker_id",
"broker_name",
"builder_id",
"builder_name",
"office_id",
"office_name",
"office_email",
"office_phones",
"nearby_schools",
"primary_photo",
"alt_photos",
@ -66,19 +73,31 @@ def process_result(result: Property) -> pd.DataFrame:
prop_data["state"] = address_data.state
prop_data["zip_code"] = address_data.zip
if "agents" in prop_data:
agents: list[Agent] | None = prop_data["agents"]
if agents:
prop_data["agent"] = agents[0].name
prop_data["agent_email"] = agents[0].email
prop_data["agent_phones"] = agents[0].phones
if "advertisers" in prop_data and prop_data.get("advertisers"):
advertiser_data: Advertisers | None = prop_data["advertisers"]
if advertiser_data.agent:
agent_data = advertiser_data.agent
prop_data["agent_id"] = agent_data.uuid
prop_data["agent_name"] = agent_data.name
prop_data["agent_email"] = agent_data.email
prop_data["agent_phones"] = agent_data.phones
if "brokers" in prop_data:
brokers = prop_data["brokers"]
if brokers:
prop_data["broker"] = brokers[0].name
prop_data["broker_phone"] = brokers[0].phone
prop_data["broker_website"] = brokers[0].website
if advertiser_data.broker:
broker_data = advertiser_data.broker
prop_data["broker_id"] = broker_data.uuid
prop_data["broker_name"] = broker_data.name
if advertiser_data.builder:
builder_data = advertiser_data.builder
prop_data["builder_id"] = builder_data.uuid
prop_data["builder_name"] = builder_data.name
if advertiser_data.office:
office_data = advertiser_data.office
prop_data["office_id"] = office_data.uuid
prop_data["office_name"] = office_data.name
prop_data["office_email"] = office_data.email
prop_data["office_phones"] = office_data.phones
prop_data["price_per_sqft"] = prop_data["prc_sqft"]
prop_data["nearby_schools"] = filter(None, prop_data["nearby_schools"]) if prop_data["nearby_schools"] else None

2
pyproject.toml
View File

@ -1,6 +1,6 @@
[tool.poetry]
name = "homeharvest"
version = "0.3.34"
version = "0.4.0"
description = "Real estate scraping library"
authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
homepage = "https://github.com/Bunsly/HomeHarvest"

13
tests/test_realtor.py
View File

@ -141,18 +141,23 @@ def test_realtor_foreclosed():
def test_realtor_agent():
scraped = scrape_property(location="Detroit, MI", listing_type="for_sale", limit=1000)
assert scraped["agent"].nunique() > 1
scraped = scrape_property(location="Detroit, MI", listing_type="for_sale", limit=1000, extra_property_data=False)
assert scraped["agent_name"].nunique() > 1
def test_realtor_without_extra_details():
results = [
scrape_property(
location="15509 N 172nd Dr, Surprise, AZ 85388",
location="00741",
listing_type="sold",
limit=10,
extra_property_data=False,
),
scrape_property(
location="15509 N 172nd Dr, Surprise, AZ 85388",
location="00741",
listing_type="sold",
limit=10,
extra_property_data=True,
),
]