🏡 Realtor Property Scraper

The Realtor Properties Scraper extracts detailed property data for Realtor US enriched with location insights such as nearby schools and enviromental risks. It is designed for real estate professionals, data analysts, and investors who need accurate and enriched property data for analysis or integration into their systems.

---

✨ Features

• Property Details:

  • Detailed description (Address, price, number of rooms, pool , parking, etc).
  • Photos and floor plans.
  • Mortgage and financial details.
  • History of listing and taxes.

• Nearby Location Insights:

  • Schools relevant information (location, grades, number of students, parent rates, etc).
  • Enviromental risk scores and probabilities (flood, fire, storms, cost to heat, air quality) and insurance recommendations.

• Easy To Use:

  • No need to manually introduce URLs, only search by city, state and/or postal code.
  • Readable output.

---

💡 Use Cases

This scraper is designed for a variety of use cases, enabling users to extract property data efficiently. Here are some key scenarios:

1. Real Estate Market Analysis

• Gather comprehensive property data, including prices, features, location scores, and nearby amenities, to analyze market trends and make informed investment decisions.

2. Competitor Monitoring

• Monitor competitor listings, pricing strategies, and features to gain a competitive edge in the real estate market.

3. Property Lead Generation

• Collect data on properties for sale or rent to build targeted marketing campaigns and generate high-quality leads.

4. Integration with CRM Systems

• Seamlessly integrate scraped data into CRM systems to enrich property databases or streamline customer interactions.

5. Real Estate Agency Operations

• Keep listings updated with accurate property details and nearby amenities to improve client experience and operational efficiency.

6. Local Area Insights

• Extract location-specific scores (e.g., walkability, transit options, schools, shopping) to assist buyers in selecting properties that match their lifestyle preferences.

7. Data-Driven Content Creation

• Use the scraped data to create engaging blog posts, reports, or videos that provide insights into property trends, neighborhood details, and real estate forecasts.

---

🔧 Input Configuration

You can customize the scraper by providing the following inputs:

Field Name	Type	Description	Required	Default Value
city	string	The target city for property scraping.	No	""
state	string	The target state for property scraping.	Yes	"NY"
postalCode	string	The postal code for narrowing down property search.	No	""
maxItems	integer	Maximum number of properties to scrape.	No
forSale	boolean	Include properties that are for sale.	No	true
forRent	boolean	Include properties that are for rent.	No	false
readyToBuild	boolean	Include properties ready for construction, also for sale.	No	true
sold	boolean	Include recently sold properties.	No	false
offMarket	boolean	Include off-market properties.	No	false
proxy	object	Proxy configuration for enhanced scraping reliability.	Yes	{ "useApifyProxy": true }

---

📦 Output Format

The output is a JSON array where each object represents a property. Example:

1{
2	"id": "4459191394",
3	"url": "https://www.realtor.com/realestateandhomes-detail/165-Charles-St-Apt-12_New-York_NY_10014_M44591-91394",
4	"last_sold_date": null,
5	"last_sold_price": null,
6	"list_date": "2024-10-11T22:01:11Z",
7	"list_price": 7650000,
8	"last_price_change_amount": null,
9	"listing_id": "2973558467",
10	"status": "for_sale",
11	"baths": 3,
12	"baths_3qtr": null,
13	"baths_full": 2,
14	"baths_half": 1,
15	"baths_max": null,
16	"baths_min": null,
17	"baths_total": null,
18	"baths_consolidated": "2.5",
19	"beds": 2,
20	"beds_max": null,
21	"beds_min": null,
22	"construction": null,
23	"cooling": null,
24	"exterior": null,
25	"fireplace": null,
26	"garage": null,
27	"garage_max": null,
28	"garage_min": null,
29	"garage_type": null,
30	"heating": null,
31	"logo": null,
32	"lot_sqft": null,
33	"name": null,
34	"pool": null,
35	"roofing": null,
36	"rooms": null,
37	"sqft": 2302,
38	"sqft_max": null,
39	"sqft_min": null,
40	"stories": null,
41	"styles": null,
42	"sub_type": "condo",
43	"text": "The imaginative vision of Pritzker Prize winning architect, Richard Meier, comes to life in this one-of-a-kind residential masterpiece. This spectacular home blurs the conventional boundary between interior and exterior via expansive floor-to-ceiling windows and panoramic views of the Hudson River. Its ideal fifth floor elevation optimally clears the treetops on the Hudson River Park for unobstructed sightlines, while maintaining connection to the streetscape. Soaking in sweeping sunset views will become part of your nightly routine. Beaming natural light pulls you through a broad, welcoming gallery into the grand living room with cove-lit tray ceilings and a seamlessly integrated dining space featuring a wine refrigerator and bar closet perfect for entertaining. Impressive 10 ft 9 in ceilings and expertly sealed windows create a zen like experience. A 20 ft covered balcony with beautifully finished flooring and thoughtful indoor-outdoor integration makes getting fresh air easy. Extensive artisanal millwork and thoughtful storage solutions optimize every inch of this 2, 302 square foot home, where custom finishes become customary. Automatic lights greet you as you step into the entry foyer. The sleek open kitchen is decked out with rolling Corian countertops plus Gaggenau and Subzero appliances. The entry to the primary bedroom suite is lined with the finest closets, leading you to a dressing area that easily accommodates any wardrobe collection. A sleek custom wall with hidden storage and floating nightstands provide serene surroundings perfect for winding down. The focal wall, tray ceiling, and large scale of the bedroom are tailored for a king size bed, plus plenty of room for a desk or chaise lounge. An attached open-concept spa bathroom matches the luxurious precedent set by the rest of the home: indulge in your elegant deep soaking tub or curbless shower with a built-in bench. Stunning finishes in the bathroom meet modern conveniences: the trough double sink is flanked with hidden medicine cabinets, a tucked-away hamper, and extra-large floating drawers. The second bedroom is large enough to be shared and features floating shelves, an angled river view, and has an en-suite bathroom with a deep soaking tub and rainshower showerhead. An additional powder room is found right off the living area and is perfect for guests. With the most advanced technologies, setting the mood is at the touch of your fingertips: State-of-the-art in-wall audio and invisible speakers are integrated throughout the entire home. Easily lower or lift the automatic shades in every room or play a tune with any tablet or phone. As one of the most prestigious condos in all of Manhattan, 165 Charles Street offers a white glove residential experience. The vision of developer Izak Senbahar, this building was conceived to continue the urban form and crystalline character of the Perry Street apartments. With only two units per floor, living at 165 Charles feels incredibly private and is close to the best restaurants in the West Village. Amenities here include a 24-hour doorman, concierge service, infinity-edge lap pool, a sauna, fitness center and a screening room with lounge seating, plus restaurant service from Jean Georges' Perry Street restaurant next door. An extra-large storage unit is included with the purchase, and private wine storage is available separately. Working Capital equal to one month common charges are due from the buyer. Pets are welcome.",
44	"type": "condos",
45	"units": null,
46	"year_built": 2004,
47	"year_renovated": null,
48	"zoning": null,
49	"details": [
50		{
51			"category": "Bedrooms",
52			"parent_category": "Interior",
53			"text": [
54				"Bedrooms: 2"
55			]
56		},
57		{
58			"category": "Other Rooms",
59			"parent_category": "Interior",
60			"text": [
61				"Total Rooms: 5",
62				"Exercise Room: Yes"
63			]
64		},
65		{
66			"category": "Bathrooms",
67			"parent_category": "Interior",
68			"text": [
69				"Total Bathrooms: 2.5",
70				"Full Bathrooms: 2",
71				"1/2 Bathrooms: 1"
72			]
73		},
74		{
75			"category": "Interior Features",
76			"parent_category": "Interior",
77			"text": [
78				"Concierge",
79				"Doorman",
80				"Elevator",
81				"Fitness Center",
82				"Total Floors in Building: 16"
83			]
84		},
85		{
86			"category": "Heating and Cooling",
87			"parent_category": "Interior",
88			"text": [
89				"Cooling Features: Air Conditioning"
90			]
91		},
92		{
93			"category": "Exterior and Lot Features",
94			"parent_category": "Exterior",
95			"text": [
96				"Private Balcony",
97				"Private Balcony: Yes"
98			]
99		},
100		{
101			"category": "Home Features",
102			"parent_category": "Exterior",
103			"text": [
104				"View: river view"
105			]
106		},
107		{
108			"category": "Homeowners Association",
109			"parent_category": "Community",
110			"text": [
111				"Association: Yes",
112				"Association Fee: 6466",
113				"Calculated Total Monthly Association Fees: 6466"
114			]
115		},
116		{
117			"category": "Amenities and Community Features",
118			"parent_category": "Community",
119			"text": [
120				"Doorman: Yes"
121			]
122		},
123		{
124			"category": "Other Property Info",
125			"parent_category": "Listing",
126			"text": [
127				"Source Listing Status: pending",
128				"Availability Date: 2024-10-10",
129				"Source Property Type: resale",
130				"Property Subtype: condo",
131				"Source Neighborhood: West Village",
132				"Property Subtype: condo",
133				"Source System Name: C2C"
134			]
135		},
136		{
137			"category": "Building and Construction",
138			"parent_category": "Features",
139			"text": [
140				"Total Square Feet Living: 2302",
141				"Year Built: 2004",
142				"Property Age: 20",
143				"Elevator: Yes"
144			]
145		}
146	],
147	"address": {
148		"city": "Manhattan",
149		"coordinate": {
150			"lat": 40.734043,
151			"lon": -74.009804
152		},
153		"country": "USA",
154		"line": "165 Charles St Apt 12",
155		"postal_code": "10014",
156		"state": "New York",
157		"state_code": "NY",
158		"street_direction": null,
159		"street_name": "Charles",
160		"street_number": "165",
161		"street_post_direction": null,
162		"street_suffix": "St",
163		"unit": "Apt 12",
164		"validation_code": "111"
165	},
166	"photos": [
167		{
168			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m3163526597s.jpg"
169		},
170		{
171			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m3748205054s.jpg"
172		},
173		{
174			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2541786171s.jpg"
175		},
176		{
177			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m847598387s.jpg"
178		},
179		{
180			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m3920709824s.jpg"
181		},
182		{
183			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m1294379399s.jpg"
184		},
185		{
186			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m1715460834s.jpg"
187		},
188		{
189			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m4205415874s.jpg"
190		},
191		{
192			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m606725653s.jpg"
193		},
194		{
195			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2802969609s.jpg"
196		},
197		{
198			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m1558432196s.jpg"
199		},
200		{
201			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2535284460s.jpg"
202		},
203		{
204			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m3215012103s.jpg"
205		},
206		{
207			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m3862101958s.jpg"
208		},
209		{
210			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2195039124s.jpg"
211		},
212		{
213			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m791507063s.jpg"
214		},
215		{
216			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m653083776s.jpg"
217		},
218		{
219			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2375445303s.jpg"
220		},
221		{
222			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m1017100040s.jpg"
223		},
224		{
225			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2771716026s.jpg"
226		},
227		{
228			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2195458401s.jpg"
229		},
230		{
231			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2211116204s.jpg"
232		},
233		{
234			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m2884696394s.jpg"
235		},
236		{
237			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m3577805750s.jpg"
238		},
239		{
240			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m124112710s.jpg"
241		}
242	],
243	"floor_plans": [
244		{
245			"href": "https://ap.rdcpix.com/6a666a7b10de42c0426ded8089a6cdael-m80658402s.jpg"
246		}
247	],
248	"nearby_schools": [
249		{
250			"id": "0751457611",
251			"name": "Ps 3 Charrette School",
252			"grade": "K-5",
253			"slug_id": "Ps-3-Charrette-School-0751457611",
254			"greatschools_id": "3602033",
255			"nces_code": "360007702049",
256			"education_levels": [
257				"elementary"
258			],
259			"parent_rating": 4,
260			"rating": 7,
261			"funding_type": "public",
262			"lat": 40.73257,
263			"lon": -74.00616,
264			"student_count": 519,
265			"student_teacher_ratio": 10.9,
266			"location": {
267				"city_slug_id": "New-York_NY",
268				"postal_code": "10014",
269				"state": "NY",
270				"county": "New York County",
271				"city": "New York",
272				"street": "490 Hudson Street"
273			},
274			"grades": [
275				"K",
276				"1",
277				"2",
278				"3",
279				"4",
280				"5"
281			]
282		},
283		{
284			"id": "0751690701",
285			"name": "Middle 297",
286			"grade": "6-8",
287			"slug_id": "Middle-297-0751690701",
288			"greatschools_id": "3618349",
289			"nces_code": "360007706602",
290			"education_levels": [
291				"middle"
292			],
293			"parent_rating": null,
294			"rating": 4,
295			"funding_type": "public",
296			"lat": 40.731246,
297			"lon": -74.007613,
298			"student_count": 422,
299			"student_teacher_ratio": 13.9,
300			"location": {
301				"city_slug_id": "New-York_NY",
302				"postal_code": "10038",
303				"state": "NY",
304				"county": "New York County",
305				"city": "New York",
306				"street": "75 MORTON ST"
307			},
308			"grades": [
309				"6",
310				"7",
311				"8"
312			]
313		},
314		{
315			"id": "0751538341",
316			"name": "Nyc Lab Ms For Collaborative Studies",
317			"grade": "6-8",
318			"slug_id": "Nyc-Lab-Ms-For-Collaborative-Studies-0751538341",
319			"greatschools_id": "3607685",
320			"nces_code": "360007705539",
321			"education_levels": [
322				"middle"
323			],
324			"parent_rating": 3,
325			"rating": 9,
326			"funding_type": "public",
327			"lat": 40.742492,
328			"lon": -74.002566,
329			"student_count": 519,
330			"student_teacher_ratio": 13.8,
331			"location": {
332				"city_slug_id": "New-York_NY",
333				"postal_code": "10011",
334				"state": "NY",
335				"county": "New York County",
336				"city": "New York",
337				"street": "333 West 17th Street"
338			},
339			"grades": [
340				"6",
341				"7",
342				"8"
343			]
344		},
345		{
346			"id": "0751468231",
347			"name": "NYC Lab High School For Collaborative Studies",
348			"grade": "9-12",
349			"slug_id": "NYC-Lab-High-School-For-Collaborative-Studies-0751468231",
350			"greatschools_id": "3602777",
351			"nces_code": "360007702857",
352			"education_levels": [
353				"high"
354			],
355			"parent_rating": 3,
356			"rating": 8,
357			"funding_type": "public",
358			"lat": 40.742463,
359			"lon": -74.002498,
360			"student_count": 463,
361			"student_teacher_ratio": 11,
362			"location": {
363				"city_slug_id": "New-York_NY",
364				"postal_code": "10011",
365				"state": "NY",
366				"county": "New York County",
367				"city": "New York",
368				"street": "333 West 17th Street"
369			},
370			"grades": [
371				"9",
372				"10",
373				"11",
374				"12"
375			]
376		},
377		{
378			"id": "0751520251",
379			"name": "The Clinton School",
380			"grade": "6-12",
381			"slug_id": "The-Clinton-School-0751520251",
382			"greatschools_id": "3606419",
383			"nces_code": "360007704410",
384			"education_levels": [
385				"middle",
386				"high"
387			],
388			"parent_rating": 5,
389			"rating": 8,
390			"funding_type": "public",
391			"lat": 40.736128,
392			"lon": -73.992257,
393			"student_count": 785,
394			"student_teacher_ratio": 13.5,
395			"location": {
396				"city_slug_id": "New-York_NY",
397				"postal_code": "10003",
398				"state": "NY",
399				"county": "New York County",
400				"city": "New York",
401				"street": "10 East 15th Street"
402			},
403			"grades": [
404				"6",
405				"7",
406				"8",
407				"9",
408				"10",
409				"11",
410				"12"
411			]
412		},
413		{
414			"id": "0751518161",
415			"name": "High School for Climate Justice (The)",
416			"grade": "9-12",
417			"slug_id": "High-School-for-Climate-Justice-(The)-0751518161",
418			"greatschools_id": "3606273",
419			"nces_code": "360007703705",
420			"education_levels": [
421				"high"
422			],
423			"parent_rating": 3,
424			"rating": 4,
425			"funding_type": "public",
426			"lat": 40.783335,
427			"lon": -73.945879,
428			"student_count": 309,
429			"student_teacher_ratio": 11.4,
430			"location": {
431				"city_slug_id": "New-York_NY",
432				"postal_code": "10128",
433				"state": "NY",
434				"county": "New York County",
435				"city": "New York",
436				"street": "320 East 96th Street"
437			},
438			"grades": [
439				"9",
440				"10",
441				"11",
442				"12"
443			]
444		},
445		{
446			"id": "0751503541",
447			"name": "Village Community School",
448			"grade": "K-8",
449			"slug_id": "Village-Community-School-0751503541",
450			"greatschools_id": "3605249",
451			"nces_code": "00942201",
452			"education_levels": [
453				"elementary",
454				"middle"
455			],
456			"parent_rating": 4,
457			"rating": null,
458			"funding_type": "private",
459			"lat": 40.733288,
460			"lon": -74.008186,
461			"student_count": null,
462			"student_teacher_ratio": null,
463			"location": {
464				"city_slug_id": "New-York_NY",
465				"postal_code": "10014",
466				"state": "NY",
467				"county": "New York County",
468				"city": "New York",
469				"street": "272 West 10th Street"
470			},
471			"grades": [
472				"K",
473				"1",
474				"2",
475				"3",
476				"4",
477				"5",
478				"6",
479				"7",
480				"8"
481			]
482		},
483		{
484			"id": "0751499651",
485			"name": "St Lukes School",
486			"grade": "PK-8",
487			"slug_id": "St-Lukes-School-0751499651",
488			"greatschools_id": "3604977",
489			"nces_code": "00935227",
490			"education_levels": [
491				"elementary",
492				"middle"
493			],
494			"parent_rating": 4,
495			"rating": null,
496			"funding_type": "private",
497			"lat": 40.732586,
498			"lon": -74.006706,
499			"student_count": null,
500			"student_teacher_ratio": null,
501			"location": {
502				"city_slug_id": "New-York_NY",
503				"postal_code": "10014",
504				"state": "NY",
505				"county": "New York County",
506				"city": "New York",
507				"street": "487 Hudson Street"
508			},
509			"grades": [
510				"PK",
511				"K",
512				"1",
513				"2",
514				"3",
515				"4",
516				"5",
517				"6",
518				"7",
519				"8"
520			]
521		},
522		{
523			"id": "0751492021",
524			"name": "Our Lady of Pompeii School",
525			"grade": "PK-8",
526			"slug_id": "Our-Lady-of-Pompeii-School-0751492021",
527			"greatschools_id": "3604442",
528			"nces_code": "00922466",
529			"education_levels": [
530				"elementary",
531				"middle"
532			],
533			"parent_rating": 4,
534			"rating": null,
535			"funding_type": "private",
536			"lat": 40.730508,
537			"lon": -74.002826,
538			"student_count": 127,
539			"student_teacher_ratio": null,
540			"location": {
541				"city_slug_id": "New-York_NY",
542				"postal_code": "10014",
543				"state": "NY",
544				"county": "New York County",
545				"city": "New York",
546				"street": "240 Bleecker Street"
547			},
548			"grades": [
549				"PK",
550				"K",
551				"1",
552				"2",
553				"3",
554				"4",
555				"5",
556				"6",
557				"7",
558				"8"
559			]
560		},
561		{
562			"id": "0751459421",
563			"name": "P.S. 41 Greenwich Village",
564			"grade": "K-5",
565			"slug_id": "P.S.-41-Greenwich-Village-0751459421",
566			"greatschools_id": "3602160",
567			"nces_code": "360007702184",
568			"education_levels": [
569				"elementary"
570			],
571			"parent_rating": 4,
572			"rating": 9,
573			"funding_type": "public",
574			"lat": 40.735636,
575			"lon": -73.999346,
576			"student_count": 486,
577			"student_teacher_ratio": 12.3,
578			"location": {
579				"city_slug_id": "New-York_NY",
580				"postal_code": "10011",
581				"state": "NY",
582				"county": "New York County",
583				"city": "New York",
584				"street": "116 West 11th Street"
585			},
586			"grades": [
587				"K",
588				"1",
589				"2",
590				"3",
591				"4",
592				"5"
593			]
594		},
595		{
596			"id": "0751688731",
597			"name": "Sixth Avenue Elementary School",
598			"grade": "K-5",
599			"slug_id": "Sixth-Avenue-Elementary-School-0751688731",
600			"greatschools_id": "3618212",
601			"nces_code": "360007706523",
602			"education_levels": [
603				"elementary"
604			],
605			"parent_rating": 4,
606			"rating": 7,
607			"funding_type": "public",
608			"lat": 40.738906,
609			"lon": -73.995368,
610			"student_count": 319,
611			"student_teacher_ratio": 11.5,
612			"location": {
613				"city_slug_id": "New-York_NY",
614				"postal_code": "10011",
615				"state": "NY",
616				"county": "New York County",
617				"city": "New York",
618				"street": "590 6th Avenue"
619			},
620			"grades": [
621				"K",
622				"1",
623				"2",
624				"3",
625				"4",
626				"5"
627			]
628		}
629	],
630	"local": {
631		"noise": {
632			"score": 64,
633			"noise_categories": [
634				{
635					"text": "Low",
636					"type": "airport"
637				},
638				{
639					"text": "High",
640					"type": "traffic"
641				},
642				{
643					"text": "High",
644					"type": "local"
645				},
646				{
647					"text": "High",
648					"type": "score"
649				}
650			]
651		},
652		"flood": {
653			"fsid": 362186752,
654			"fema_zone": "AE",
655			"flood_factor_severity": "major",
656			"flood_trend": "This property’s flood risk is increasing.",
657			"floodType": "coastal",
658			"firststreet_url": "https://firststreet.org/property/165-charles-st-new-york-ny-10014/362186752_fsid#flood",
659			"flood_factor": 6,
660			"risk_direction": 1,
661			"insurance_requirement": "REQUIRED",
662			"insurance": [
663				{
664					"provider": {
665						"name": "Neptune Flood Insurance",
666						"logo": "https://assets.floodfactor.com/insurance/neptune_flood.png"
667					},
668					"rates": [
669						{
670							"link": "https://1str.ee/t/neptune/flood/362186752?classification=HO3",
671							"minPrice": 451,
672							"maxPrice": 934,
673							"homeCoverage": 350000,
674							"contentsCoverage": 100000
675						}
676					],
677					"disclaimer": null
678				}
679			]
680		},
681		"wildfire": {
682			"fire_factor_severity": "Minimal",
683			"fire_trend": "This property’s wildfire risk is not changing.",
684			"defensive_space": null,
685			"fire_factor": 1,
686			"risk_direction": null,
687			"usfs_relative_risk": 0.319,
688			"insurance": {
689				"provider": {
690					"name": "Hippo Insurance Agency, LLC",
691					"logo": "https://assets.floodfactor.com/insurance/hippo.png"
692				},
693				"rates": [
694					{
695						"link": "https://1str.ee/t/hippo/fire/362186752",
696						"minPrice": 690,
697						"maxPrice": 1283,
698						"homeCoverage": 250000,
699						"contentsCoverage": 100000
700					}
701				],
702				"disclaimer": null
703			}
704		},
705		"heat": {
706			"heat_factor_severity": "Major",
707			"heat_trend": "7 days above 99°F this year",
708			"heat_factor": 6,
709			"hot_temperature": 99,
710			"anomaly_temperature": -0.8,
711			"cooling": [
712				{
713					"coolingTemp": 70,
714					"cost": 6827,
715					"costPerKwh": 0.190485,
716					"energy": 35838,
717					"relativeYear": 0
718				},
719				{
720					"coolingTemp": 70,
721					"cost": 8138,
722					"costPerKwh": 0.190485,
723					"energy": 42722,
724					"relativeYear": 30
725				}
726			]
727		},
728		"wind": {
729			"wind_factor_severity": "Major",
730			"wind_trend": "Major risk of severe winds over next 30 years",
731			"wind_factor": null,
732			"risk_direction": null,
733			"factor_scale": "MAJOR",
734			"has_tornado_risk": null,
735			"has_thunderstorm_risk": true,
736			"has_cyclone_risk": true,
737			"greatest_wind_risk": null,
738			"missile_environment": "HIGH",
739			"primary_direction": "NW"
740		},
741		"air": {
742			"air_factor_severity": "Moderate",
743			"air_trend": "Risk of poor air quality is increasing",
744			"air_factor": 4,
745			"risk_direction": 1
746		}
747	},
748	"history": [
749		{
750			"date": "2024-10-11",
751			"event_name": "Listed",
752			"price": 7650000,
753			"price_change": 0,
754			"price_sqft": 3323.197219808862,
755			"source_listing_id": "1684504575173696993",
756			"source_name": "Compass",
757			"price_change_percentage": null,
758			"days_after_listed": null,
759			"listing": {
760				"list_price": 7650000,
761				"last_status_change_date": "2024-10-11T22:01:11Z",
762				"last_update_date": "2024-11-18T21:02:48Z",
763				"status": "for_sale",
764				"list_date": "2024-10-11T22:01:11Z",
765				"listing_id": "2973558467"
766			}
767		},
768		{
769			"date": "2023-06-21",
770			"event_name": "Listing removed",
771			"price": 0,
772			"price_change": 0,
773			"price_sqft": null,
774			"source_listing_id": "1044898775783128793",
775			"source_name": "Compass",
776			"price_change_percentage": null,
777			"days_after_listed": null,
778			"listing": {
779				"list_price": 7950000,
780				"last_status_change_date": "2023-06-21T15:01:37Z",
781				"last_update_date": "2023-04-12T14:04:21Z",
782				"status": "off_market",
783				"list_date": "2022-05-12T18:03:09Z",
784				"listing_id": "2943016820"
785			}
786		},
787		{
788			"date": "2022-08-02",
789			"event_name": "Listing removed",
790			"price": 0,
791			"price_change": 0,
792			"price_sqft": null,
793			"source_listing_id": "OLRS-1128593",
794			"source_name": "REBNY",
795			"price_change_percentage": null,
796			"days_after_listed": "82 days",
797			"listing": {
798				"list_price": 7950000,
799				"last_status_change_date": "2022-08-02T18:52:07Z",
800				"last_update_date": "2022-08-01T16:01:57Z",
801				"status": "off_market",
802				"list_date": "2022-05-12T18:34:54Z",
803				"listing_id": "2943018552"
804			}
805		},
806		{
807			"date": "2022-05-12",
808			"event_name": "Listed",
809			"price": 7950000,
810			"price_change": 0,
811			"price_sqft": 3453.518679409209,
812			"source_listing_id": "OLRS-1128593",
813			"source_name": "REBNY",
814			"price_change_percentage": null,
815			"days_after_listed": null,
816			"listing": {
817				"list_price": 7950000,
818				"last_status_change_date": "2022-08-02T18:52:07Z",
819				"last_update_date": "2022-08-01T16:01:57Z",
820				"status": "off_market",
821				"list_date": "2022-05-12T18:34:54Z",
822				"listing_id": "2943018552"
823			}
824		},
825		{
826			"date": "2022-05-12",
827			"event_name": "Listed",
828			"price": 7950000,
829			"price_change": 0,
830			"price_sqft": 3453.518679409209,
831			"source_listing_id": "1044898775783128793",
832			"source_name": "Compass",
833			"price_change_percentage": null,
834			"days_after_listed": null,
835			"listing": {
836				"list_price": 7950000,
837				"last_status_change_date": "2023-06-21T15:01:37Z",
838				"last_update_date": "2023-04-12T14:04:21Z",
839				"status": "off_market",
840				"list_date": "2022-05-12T18:03:09Z",
841				"listing_id": "2943016820"
842			}
843		},
844		{
845			"date": "2014-11-13",
846			"event_name": "Listing removed",
847			"price": 10750000,
848			"price_change": 0,
849			"price_sqft": 4230.6178669815035,
850			"source_listing_id": "3247553",
851			"source_name": "CorcoranGroup",
852			"price_change_percentage": null,
853			"days_after_listed": null,
854			"listing": {
855				"list_price": 10750000,
856				"last_status_change_date": "2014-11-13T20:36:00Z",
857				"last_update_date": "2014-11-13T20:36:00Z",
858				"status": "off_market",
859				"list_date": "2014-05-08T20:20:00Z",
860				"listing_id": "567969393"
861			}
862		},
863		{
864			"date": "2014-10-09",
865			"event_name": "Listing removed",
866			"price": 9500000,
867			"price_change": 0,
868			"price_sqft": 2785.1070067428905,
869			"source_listing_id": "2480681",
870			"source_name": "CorcoranGroup",
871			"price_change_percentage": null,
872			"days_after_listed": "93 days",
873			"listing": {
874				"list_price": 9500000,
875				"last_status_change_date": "2014-10-09T19:40:00Z",
876				"last_update_date": "2014-10-09T19:40:00Z",
877				"status": "off_market",
878				"list_date": "2014-03-10T19:45:00Z",
879				"listing_id": "566340449"
880			}
881		},
882		{
883			"date": "2014-09-20",
884			"event_name": "Price Changed",
885			"price": 10750000,
886			"price_change": -750000,
887			"price_sqft": 4230.6178669815035,
888			"source_listing_id": "3247553",
889			"source_name": "CorcoranGroup",
890			"price_change_percentage": null,
891			"days_after_listed": null,
892			"listing": {
893				"list_price": 10750000,
894				"last_status_change_date": "2014-11-13T20:36:00Z",
895				"last_update_date": "2014-11-13T20:36:00Z",
896				"status": "off_market",
897				"list_date": "2014-05-08T20:20:00Z",
898				"listing_id": "567969393"
899			}
900		},
901		{
902			"date": "2014-07-08",
903			"event_name": "Listed",
904			"price": 11500000,
905			"price_change": 0,
906			"price_sqft": 4525.777253049981,
907			"source_listing_id": "3247553",
908			"source_name": "CorcoranGroup",
909			"price_change_percentage": null,
910			"days_after_listed": null,
911			"listing": {
912				"list_price": 10750000,
913				"last_status_change_date": "2014-11-13T20:36:00Z",
914				"last_update_date": "2014-11-13T20:36:00Z",
915				"status": "off_market",
916				"list_date": "2014-05-08T20:20:00Z",
917				"listing_id": "567969393"
918			}
919		},
920		{
921			"date": "2014-04-28",
922			"event_name": "Price Changed",
923			"price": 9500000,
924			"price_change": 500000,
925			"price_sqft": 2785.1070067428905,
926			"source_listing_id": "2480681",
927			"source_name": "CorcoranGroup",
928			"price_change_percentage": null,
929			"days_after_listed": null,
930			"listing": {
931				"list_price": 9500000,
932				"last_status_change_date": "2014-10-09T19:40:00Z",
933				"last_update_date": "2014-10-09T19:40:00Z",
934				"status": "off_market",
935				"list_date": "2014-03-10T19:45:00Z",
936				"listing_id": "566340449"
937			}
938		},
939		{
940			"date": "2014-03-10",
941			"event_name": "Listed",
942			"price": 9000000,
943			"price_change": 0,
944			"price_sqft": 2638.5224274406332,
945			"source_listing_id": "2480681",
946			"source_name": "CorcoranGroup",
947			"price_change_percentage": "+38.46%",
948			"days_after_listed": null,
949			"listing": {
950				"list_price": 9500000,
951				"last_status_change_date": "2014-10-09T19:40:00Z",
952				"last_update_date": "2014-10-09T19:40:00Z",
953				"status": "off_market",
954				"list_date": "2014-03-10T19:45:00Z",
955				"listing_id": "566340449"
956			}
957		},
958		{
959			"date": "2013-06-26",
960			"event_name": "Sold",
961			"price": 6500000,
962			"price_change": 0,
963			"price_sqft": 1905.5995309293462,
964			"source_listing_id": "1610936",
965			"source_name": "DouglasElliman",
966			"price_change_percentage": "$0",
967			"days_after_listed": null,
968			"listing": {
969				"list_price": 6500000,
970				"last_status_change_date": "2022-10-25T22:50:20Z",
971				"last_update_date": "2021-09-21T14:48:00Z",
972				"status": "sold",
973				"list_date": "2022-10-25T22:50:20Z",
974				"listing_id": "2949246564"
975			}
976		},
977		{
978			"date": "2013-06-11",
979			"event_name": "Listing removed",
980			"price": 25000,
981			"price_change": 0,
982			"price_sqft": null,
983			"source_listing_id": "40680",
984			"source_name": "ManhattanNY",
985			"price_change_percentage": null,
986			"days_after_listed": null,
987			"listing": {
988				"list_price": 25000,
989				"last_status_change_date": "2013-06-11T21:33:00Z",
990				"last_update_date": "2013-06-11T21:33:00Z",
991				"status": "off_market",
992				"list_date": "2013-03-01T07:00:00Z",
993				"listing_id": "551236141"
994			}
995		},
996		{
997			"date": "2013-06-04",
998			"event_name": "Listing removed",
999			"price": 6500000,
1000			"price_change": 0,
1001			"price_sqft": null,
1002			"source_listing_id": "38805",
1003			"source_name": "ManhattanNY",
1004			"price_change_percentage": null,
1005			"days_after_listed": "132 days",
1006			"listing": {
1007				"list_price": 6500000,
1008				"last_status_change_date": "2013-06-04T19:46:00Z",
1009				"last_update_date": "2013-06-06T21:08:00Z",
1010				"status": "off_market",
1011				"list_date": "2013-01-23T07:00:00Z",
1012				"listing_id": "549704949"
1013			}
1014		},
1015		{
1016			"date": "2013-03-01",
1017			"event_name": "Listed for rent",
1018			"price": 25000,
1019			"price_change": 0,
1020			"price_sqft": null,
1021			"source_listing_id": "40680",
1022			"source_name": "ManhattanNY",
1023			"price_change_percentage": null,
1024			"days_after_listed": null,
1025			"listing": {
1026				"list_price": 25000,
1027				"last_status_change_date": "2013-06-11T21:33:00Z",
1028				"last_update_date": "2013-06-11T21:33:00Z",
1029				"status": "off_market",
1030				"list_date": "2013-03-01T07:00:00Z",
1031				"listing_id": "551236141"
1032			}
1033		},
1034		{
1035			"date": "2013-01-23",
1036			"event_name": "Listed",
1037			"price": 6500000,
1038			"price_change": 0,
1039			"price_sqft": null,
1040			"source_listing_id": "38805",
1041			"source_name": "ManhattanNY",
1042			"price_change_percentage": null,
1043			"days_after_listed": null,
1044			"listing": {
1045				"list_price": 6500000,
1046				"last_status_change_date": "2013-06-04T19:46:00Z",
1047				"last_update_date": "2013-06-06T21:08:00Z",
1048				"status": "off_market",
1049				"list_date": "2013-01-23T07:00:00Z",
1050				"listing_id": "549704949"
1051			}
1052		},
1053		{
1054			"date": "2012-12-19",
1055			"event_name": "Listing removed",
1056			"price": 6750000,
1057			"price_change": 0,
1058			"price_sqft": null,
1059			"source_listing_id": "29611",
1060			"source_name": "ManhattanNY",
1061			"price_change_percentage": null,
1062			"days_after_listed": null,
1063			"listing": {
1064				"list_price": 6750000,
1065				"last_status_change_date": "2012-12-19T10:46:00Z",
1066				"last_update_date": "2012-12-19T10:46:00Z",
1067				"status": "off_market",
1068				"list_date": "2012-07-24T07:00:00Z",
1069				"listing_id": "546004525"
1070			}
1071		},
1072		{
1073			"date": "2012-10-04",
1074			"event_name": "Relisted",
1075			"price": 6750000,
1076			"price_change": 0,
1077			"price_sqft": null,
1078			"source_listing_id": "29611",
1079			"source_name": "ManhattanNY",
1080			"price_change_percentage": null,
1081			"days_after_listed": null,
1082			"listing": {
1083				"list_price": 6750000,
1084				"last_status_change_date": "2012-12-19T10:46:00Z",
1085				"last_update_date": "2012-12-19T10:46:00Z",
1086				"status": "off_market",
1087				"list_date": "2012-07-24T07:00:00Z",
1088				"listing_id": "546004525"
1089			}
1090		},
1091		{
1092			"date": "2012-09-04",
1093			"event_name": "Listing removed",
1094			"price": 6750000,
1095			"price_change": 0,
1096			"price_sqft": null,
1097			"source_listing_id": "29611",
1098			"source_name": "ManhattanNY",
1099			"price_change_percentage": null,
1100			"days_after_listed": "42 days",
1101			"listing": {
1102				"list_price": 6750000,
1103				"last_status_change_date": "2012-12-19T10:46:00Z",
1104				"last_update_date": "2012-12-19T10:46:00Z",
1105				"status": "off_market",
1106				"list_date": "2012-07-24T07:00:00Z",
1107				"listing_id": "546004525"
1108			}
1109		},
1110		{
1111			"date": "2012-07-24",
1112			"event_name": "Listed",
1113			"price": 6750000,
1114			"price_change": 0,
1115			"price_sqft": null,
1116			"source_listing_id": "29611",
1117			"source_name": "ManhattanNY",
1118			"price_change_percentage": null,
1119			"days_after_listed": null,
1120			"listing": {
1121				"list_price": 6750000,
1122				"last_status_change_date": "2012-12-19T10:46:00Z",
1123				"last_update_date": "2012-12-19T10:46:00Z",
1124				"status": "off_market",
1125				"list_date": "2012-07-24T07:00:00Z",
1126				"listing_id": "546004525"
1127			}
1128		}
1129	],
1130	"tax_history": null,
1131	"mortgage": {
1132		"property_tax_rate": 0.0123,
1133		"average_rates": [
1134			{
1135				"rate": 0.06896,
1136				"loan_type": {
1137					"loan_id": "thirty_year_fix",
1138					"is_va_loan": null,
1139					"display_name": "30-year fixed",
1140					"term": 30
1141				}
1142			},
1143			{
1144				"rate": 0.06765,
1145				"loan_type": {
1146					"loan_id": "twenty_year_fix",
1147					"is_va_loan": null,
1148					"display_name": "20-year fixed",
1149					"term": 20
1150				}
1151			},
1152			{
1153				"rate": 0.05909,
1154				"loan_type": {
1155					"loan_id": "fifteen_year_fix",
1156					"is_va_loan": null,
1157					"display_name": "15-year fixed",
1158					"term": 15
1159				}
1160			},
1161			{
1162				"rate": 0.0582,
1163				"loan_type": {
1164					"loan_id": "ten_year_fix",
1165					"is_va_loan": null,
1166					"display_name": "10-year fixed",
1167					"term": 10
1168				}
1169			},
1170			{
1171				"rate": 0.06241,
1172				"loan_type": {
1173					"loan_id": "thirty_year_fha",
1174					"is_va_loan": null,
1175					"display_name": "30-year fixed FHA",
1176					"term": 30
1177				}
1178			},
1179			{
1180				"rate": 0.0626,
1181				"loan_type": {
1182					"loan_id": "thirty_year_va",
1183					"is_va_loan": true,
1184					"display_name": "30-year fixed VA",
1185					"term": 30
1186				}
1187			},
1188			{
1189				"rate": 0.06825,
1190				"loan_type": {
1191					"loan_id": "five_one_arm",
1192					"is_va_loan": null,
1193					"display_name": "5-year ARM",
1194					"term": 30
1195				}
1196			},
1197			{
1198				"rate": 0.06589,
1199				"loan_type": {
1200					"loan_id": "seven_one_arm",
1201					"is_va_loan": null,
1202					"display_name": "7-year ARM",
1203					"term": 30
1204				}
1205			}
1206		],
1207		"closing_cost": 306000,
1208		"closing_cost_rate": "4%",
1209		"due_at_close": 1836000,
1210		"insurance_rate": 0.004166,
1211		"county_fha_loan_limit": 1149825,
1212		"is_listing_price_eligible_for_fha": false,
1213		"estimate": {
1214			"monthly_payment": 57253,
1215			"monthly_payment_details": [
1216				{
1217					"amount": 40290,
1218					"display_name": "Principal & Interest",
1219					"type": "principal_and_interest"
1220				},
1221				{
1222					"amount": 2656,
1223					"display_name": "Home Insurance",
1224					"type": "home_insurance"
1225				},
1226				{
1227					"amount": 6466,
1228					"display_name": "Maintenance Fee",
1229					"type": "hoa_fees"
1230				},
1231				{
1232					"amount": 0,
1233					"display_name": "Mortgage Insurance",
1234					"type": "mortgage_insurance"
1235				},
1236				{
1237					"amount": 7841,
1238					"display_name": "Property Tax",
1239					"type": "property_tax"
1240				}
1241			],
1242			"average_rate": {
1243				"rate": 0.06896,
1244				"loan_type": {
1245					"term": 30
1246				}
1247			}
1248		}
1249	}
1250}

---

⚙️ Configuration Recommendations

✅ Proxy Usage is Essential

• Why? Realtor has anti-scraping mechanisms that block repeated or high-frequency requests from the same IP.
• Recommendation: Use high-quality residential proxies to improve reliability and prevent blocks.

Example Proxy Configuration:

1"proxy": {
2  "useApifyProxy": true,
3  "apifyProxyGroups": ["RESIDENTIAL"]
4}

---

📍 State Input is Required

• The state field is mandatory and must always be provided (e.g., "New York (NY)" for New York).
• If the state is missing, the scraper will not run.

"state": "New York (NY)"

---

🏙️ City and Postal Code are Optional but Recommended

• City (city): Use it to narrow down searches to a specific city (e.g., "New York").
• Postal Code (postalCode): Specify it to refine your search even further (e.g., "10025").
• If neither city nor postalCode is provided, the scraper will attempt to gather broader state-level data.

Valid Configurations:

1"city": "New York",
2"postalCode": "10025"

OR

1"city": "",
2"postalCode": ""

---

📊 Adjust Maximum Items (maxItems)

• Why? By default, the scraper processes all available data, which can be resource-intensive.
• Recommendation: Limit maxItems based on your specific requirements to save costs.

Example:

"maxItems": 500

---

🏢 Property Status Selection

You can customize the scraper to focus on specific property types:

• forSale: Properties listed for sale (true/false)
• forRent: Properties listed for rent (true/false)
• readyToBuild: Ready-to-build properties (true/false)
• sold: Sold properties (true/false)
• offMarket: Off-market properties (true/false)

Example:

1"forSale": true,
2"forRent": false,
3"readyToBuild": false,
4"sold": false,
5"offMarket": false

---

🚀 Performance Tips

• Test First: Start with a small batch (maxItems: 50) to verify configuration and outputs.

---

🛡️ Data Accuracy

• Properties without sufficient details (e.g., missing coordinates or descriptions) may not yield full insights.
• Use the log settings in your scraper to identify incomplete data.

---

By following these recommendations, you'll enhance the scraper's performance, ensure reliable results, and avoid unnecessary rate limits or blocks. 🚀

📞 Support

For support or questions feel free to open an issue in this Actor's page. For custom solutions you can contact me.

If this actor has been useful to you, please consider giving it a ⭐ on Apify.