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OpenRent Property Scraper | Pay per Result Scraper API

XCrawl's OpenRent Property Scraper API delivers a powerful property data API for extracting rental listings with our pay per result scraper. Bypass parsing headaches, IP blocks, and rate limits to access clean JSON datasets from OpenRent's vast crawler properties. Ideal for building comprehensive property datasets affordably.

무료 체험 시작
영업 부서 문의

OpenRent Property Scraper | Pay per Result Scraper API 스크래퍼로 무엇을 만들 수 있나요?

Develop real-time rental market dashboards using the property data API for instant insights into pricing trends. Create competitive analysis tools with pay per crawl extraction from crawler properties. Build machine learning models trained on high-quality property datasets scraped from OpenRent listings.

XCrawl

Pay Per Result Model

Optimize costs with pay per crawl pricing, charging only for successful deliveries of structured JSON property datasets via our robust API.

XCrawl

Instant JSON Output

Get real-time property data API responses in clean, parseable JSON format, perfect for Python integration and dataset property analysis.

XCrawl

Scalable Crawler

Effortlessly scale to thousands of crawler properties with anti-detection tech, ensuring reliable property data extraction without downtime.

XCrawl

Developer-First Design

Seamless REST API endpoints with full docs for quick setup, supporting async requests for high-volume property dataset workflows.

전 세계 데이터 기반 팀이 신뢰합니다

분석, 조사, 모니터링, 성장 워크플로우 등 다양한 팀에서 사용되고 있습니다.

XCrawl

사용 가능한 OpenRent Property Scraper | Pay per Result Scraper API 스크래퍼

가장 널리 사용되는 OpenRent Property Scraper | Pay per Result Scraper API 데이터 타입에 즉시 접근 — 완벽하게 구조화되고, 일관된 포맷, 프로덕션 준비 완료.

Property Data API

Comprehensive endpoint for detailed OpenRent rental property information and features.

스크래핑 방법:
  • property_id
  • title
  • rent_price
  • bedrooms
  • bathrooms
  • description
  • location
  • availability

Pay Per Crawl

Cost-efficient scraper charging per successful property result from OpenRent searches.

스크래핑 방법:
  • search_query
  • results_count
  • property_ids
  • prices
  • locations
  • agent_names
  • post_dates

Crawler Properties

Targeted crawler for bulk extraction of OpenRent property listings and metadata.

스크래핑 방법:
  • address
  • floor_area
  • furnished_status
  • deposit
  • bills_included
  • images
  • video_url

Dataset Property

Build custom property datasets with historical and current OpenRent rental data.

스크래핑 방법:
  • property_id
  • price_history
  • date_scraped
  • features_list
  • energy_rating
  • council_tax

Rental Search Results

Scrape OpenRent search pages for keyword-based property rankings and summaries.

스크래핑 방법:
  • keyword
  • ranking
  • titles
  • prices
  • distances
  • urls
  • thumbs

Agent Seller Info

Extract landlord and agent details linked to OpenRent properties.

스크래핑 방법:
  • agent_name
  • phone
  • email
  • profile_url
  • properties_counted
  • ratings
  • reviews

OpenRent Property Scraper | Pay per Result Scraper API 크롤링 방식

XCrawl

API 스크래핑 (개발자용)

Integrate the property data API via simple REST calls in Python, Node.js, or any language for programmatic access to crawler properties.

  • XCrawl
    RESTful Endpoints
    Trigger pay per crawl requests and receive instant JSON property datasets with minimal code.
  • XCrawl
    Async Processing
    Handle large-scale crawler properties asynchronously for non-blocking, high-throughput scraping.
  • XCrawl
    SDK Integration
    Use official Python and JS SDKs to streamline property data API calls and error handling.
XCrawl

노코드 스크래핑 (운영팀 & 성장팀용)

Leverage our dashboard for no-code property data extraction from OpenRent via visual tools and automation.

  • XCrawl
    Visual Query Builder
    Select locations, prices, and filters point-and-click to target crawler properties easily.
  • XCrawl
    Scheduled Scrapes
    Automate daily or weekly pay per crawl runs for fresh property datasets without scripts.
  • XCrawl
    Multi-Format Exports
    Download property data API results as CSV, Excel, or JSON for instant analysis.

코드 예시

간단한 API 호출로 몇 초 만에 OpenRent Property Scraper | Pay per Result Scraper API 게시물 및 작성자 정보를 받아보세요.

입력
Shell
curl -X POST https://xcrawl.com -H "Authorization: YOU_TOKEN" -H "Content-Type: application/json" -d "{\"geo\":\"US\",\"context\":{\"keyword_list\":[{\"keyword\":\"Apple\"}],\"start_page\":1,\"pages\":1},\"source\":\"amazon_search\"}"
출력
Json
{
"result":[
{
"content":{
"url":"https://www.amazon.com/s?k=Apple&page=1"
"page":1
"query":"Apple"
"results":{
"organic":[
{
"pos":1
"url":"https://www.amazon.com/sspa/click?ie=UTF8&spc=MTo1NTU4MDIyNzE4MTQ0NDk1OjE3NjM0NDg1NjM6c3BfYXRmOjMwMDg0MTIyMDE1MTYwMjo6MDo6&url=%2FApple-11-inch-Intelligence-Display-All-Day%2Fdp%2FB0DZ73HCJZ%2Fref%3Dsr_1_1_sspa%3Fdib%3DeyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs%26dib_tag%3Dse%26keywords%3DApple%26qid%3D1763448563%26sr%3D8-1-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"
"asin":"B0DZ73HCJZ"
"price":499.99
"title":"SponsoredSponsored You’re seeing this ad based on the product’s relevance to your search query.Leave ad feedback AppleiPad Air 11-inch with M3 chip Built for Apple Intelligence, Liquid Retina Display, 128GB, 12MP Front/Back Camera, Wi-Fi 6E, Touch ID, All-Day Battery Life — Purple"
"rating":4.8
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71b-vc2xzlL._AC_UY218_.jpg"
"best_seller":false
"price_upper":499.99
"is_sponsored":false
"sales_volume":"1K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":599
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":2
"url":"https://www.amazon.com/sspa/click?ie=UTF8&spc=MTo1NTU4MDIyNzE4MTQ0NDk1OjE3NjM0NDg1NjM6c3BfYXRmOjMwMDg0MTI5NzA2MjkwMjo6MDo6&url=%2FApple-Bluetooth-Headphones-Personalized-Effortless%2Fdp%2FB0DGHMNQ5Z%2Fref%3Dsr_1_2_sspa%3Fdib%3DeyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs%26dib_tag%3Dse%26keywords%3DApple%26qid%3D1763448563%26sr%3D8-2-spons%26sp_csd%3Dd2lkZ2V0TmFtZT1zcF9hdGY%26psc%3D1"
"asin":"B0DGHMNQ5Z"
"price":117
"title":"SponsoredSponsored You’re seeing this ad based on the product’s relevance to your search query.Leave ad feedback AppleAirPods 4 Wireless Earbuds, Bluetooth Headphones, Personalized Spatial Audio, Sweat and Water Resistant, USB-C Charging Case, H2 Chip, Up to 30 Hours of Battery Life, Effortless Setup for iPhone"
"rating":4.5
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61iBtxCUabL._AC_UY218_.jpg"
"best_seller":false
"price_upper":117
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":129
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":3
"url":"https://www.amazon.com/Apple-MX542LL-A-AirTag-Pack/dp/B0D54JZTHY/ref=sr_1_3?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-3"
"asin":"B0D54JZTHY"
"price":79.98
"title":"AppleAirTag 4 Pack. Keep Track of and find Your Keys, Wallet, Luggage, Backpack, and More. Simple one-tap Set up with iPhone or iPad"
"rating":4.7
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61bMNCeAUAL._AC_UY218_.jpg"
"best_seller":false
"price_upper":79.98
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":99
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":4
"url":"https://www.amazon.com/Apple-MX532LL-A-AirTag/dp/B0CWXNS552/ref=sr_1_4?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-4"
"asin":"B0CWXNS552"
"price":17.97
"title":"AppleAirTag. Keep Track of and find Your Keys, Wallet, Luggage, Backpack, and More. Simple one-tap Set up with iPhone or iPad"
"rating":4.7
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71rP7f78eFL._AC_UY218_.jpg"
"best_seller":false
"price_upper":17.97
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":29
"shipping_information":"FREE delivery Sun, Nov 23 on $35 of items shipped by AmazonOr fastest delivery Tomorrow, Nov 19"
},
{
"pos":5
"url":"https://www.amazon.com/Apple-iPad-Pro-13-inch-M5/dp/B0FWCXMR3W/ref=sr_1_5?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-5"
"asin":"B0FWCXMR3W"
"price":2499
"title":"AppleiPad Pro 13-inch (M5): Ultra Retina XDR Display, 2TB, 12MP Front/Back Camera, LiDAR Scanner, Wi-Fi 7 with Apple N1 + 5G Cellular with C1X chip, Face ID, All-Day Battery Life — Space Black"
"rating":4.6
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/715V3wbnD6L._AC_UY218_.jpg"
"best_seller":false
"price_upper":2499
"is_sponsored":false
"sales_volume":null
"pricing_count":1
"reviews_count":16
"is_amazons_choice":false
"price_strikethrough":""
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Thu, Nov 20"
},
{
"pos":6
"url":"https://www.amazon.com/Apple-Cancellation-Translation-Headphones-High-Fidelity/dp/B0FQFB8FMG/ref=sr_1_6?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-6"
"asin":"B0FQFB8FMG"
"price":249
"title":"AppleAirPods Pro 3 Wireless Earbuds, Active Noise Cancellation, Live Translation, Heart Rate Sensing, Hearing Aid Feature, Bluetooth Headphones, Spatial Audio, High-Fidelity Sound, USB-C Charging"
"rating":4.4
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61solmQSSlL._AC_UY218_.jpg"
"best_seller":false
"price_upper":249
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":""
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":7
"url":"https://www.amazon.com/Apple-2025-MacBook-13-inch-Laptop/dp/B0DZD9S5GC/ref=sr_1_7?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-7"
"asin":"B0DZD9S5GC"
"price":749.99
"title":"Apple2025 MacBook Air 13-inch Laptop with M4 chip: Built for Apple Intelligence, 13.6-inch Liquid Retina Display, 16GB Unified Memory, 256GB SSD Storage, 12MP Center Stage Camera, Touch ID; Midnight"
"rating":4.8
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/71cWZUr9SVL._AC_UY218_.jpg"
"best_seller":false
"price_upper":749.99
"is_sponsored":false
"sales_volume":null
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":999
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
{
"pos":8
"url":"https://www.amazon.com/Apple-Headphones-Cancellation-Transparency-Personalized/dp/B0DGJ7HYG1/ref=sr_1_8?dib=eyJ2IjoiMSJ9.34Y5eLJt-Syg--Dpi7ueLQwL3ml5AvPfvC0eh7LK2pKhXumC_HQT9LBvkLBiFSrOLyabiwA1DN0qC4nDUFqkGrn5VUhsdLQFYgZ3L8DIPuzIgdPdKtqxJq8diyjiiuXTCDm8kcQmj2lflrdB1g_13fvuEjweGI5mAVZVfJ83S_reyt11VBul7Fga7znbDIGVuFDGhy2lICifAICisiNT88x1w5OOasbBiPs42bcbX0Y.sYUV92XFy8V256YhUSF1FPnMdd_kkjo8lMeGBX4Y2Rs&dib_tag=se&keywords=Apple&qid=1763448563&sr=8-8"
"asin":"B0DGJ7HYG1"
"price":148.99
"title":"AppleAirPods 4 Wireless Earbuds, Bluetooth Headphones, with Active Noise Cancellation, Adaptive Audio, Transparency Mode, Personalized Spatial Audio, USB-C Charging Case, Wireless Charging, H2 Chip"
"rating":4.5
"currency":"USD"
"is_prime":false
"url_image":"https://m.media-amazon.com/images/I/61iBtxCUabL._AC_UY218_.jpg"
"best_seller":false
"price_upper":148.99
"is_sponsored":false
"sales_volume":"10K+ bought in past month"
"pricing_count":1
"reviews_count":null
"is_amazons_choice":false
"price_strikethrough":179
"shipping_information":"FREE delivery Sun, Nov 23Or fastest delivery Tomorrow, Nov 19"
},
],
"amazons_choices":[
],
},
},
},
],
},

OpenRent Property Scraper | Pay per Result Scraper API 스크래퍼 API는 어떻게 동작하나요?

  • XCrawl지능형 IP 회전
  • XCrawl자동 CAPTCHA 인식
  • XCrawlHTTP 헤더
  • XCrawl자동 웹페이지 파싱
  • XCrawl맞춤형 지원

API로 무엇을 할 수 있나요?

XCrawl

프록시 관리

190개국 프리미엄 프록시 풀을 활용한 ML 기반 프록시 선택 및 회전

XCrawl

AI 기반 지문 추적

고유한 HTTP 헤더, 자바스크립트, 브라우저 지문으로 동적 콘텐츠에 강인함을 보장합니다.

XCrawl

CAPTCHA 우회

자동 재시도와 CAPTCHA 우회로 데이터 수집이 끊기지 않습니다.

XCrawl

대용량 데이터 추출

배치당 최대 1만 개의 URL에서 여러 페이지 데이터를 동시에 추출하세요.

XCrawl

다양한 결과 전달 방식

SFTP, AWSS3 등 클라우드 저장소로 데이터 수령 또는 API로 결과 즉시 받기

XCrawl

예약 스크래핑

원하는 빈도로 자동·맞춤화된 데이터 수집 주기 설정, 결과는 클라우드 저장소로 바로 전달됩니다.

XCrawl

유지보수 없는 인프라

프록시 유지보수와 인프라 고민 없이 크롤러 시스템 구축 불필요

XCrawl

높은 확장성

맞춤화 지원과 쉬운 통합

XCrawl

24/7 실시간 지원

궁금한 점이나 문제가 생기면 전문적으로 지원해드립니다.

XCrawl 투명함

유연한 가격

투명한 웹 스크래핑 가격정책, 유연한 API 구독제. 데이터 추출 비용 비교, 크롤러 액세스 구매, 무료로 시작해 성장에 맞춰 확장하세요.

월간
연간 HOT

스케일 플랜

더 많은 파워와 전담 지원이 필요한 팀을 위한 대용량 요금제.

더 높은 속도제한, 더 많은 동시 브라우저, 우선 지원을 누리세요.

영업 부서 문의
엔터프라이즈 맞춤화 지원

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P
Part Number Cross Reference Scraper API

XCrawl's Part Number Cross Reference Scraper API revolutionizes OEM part number cross reference data extraction. Seamlessly perform number extraction, extract number details from catalogs, and handle extraction number tasks without IP blocks or parsing errors. Our robust scraper API delivers accurate number extract results via simple API calls for backend developers.

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JSON To YAML Converter Scraper API

XCrawl's JSON To YAML Converter Scraper API is the ultimate json scraper and web scraping json solution for developers. Effortlessly scrape json from websites, parse with python json parser compatibility, and convert to YAML seamlessly. Overcome complex parsing challenges like nested json string python handling and deliver clean json data extraction for your apps.

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고객의 실제 평가

★★★★★
5.0

The property data API transformed our rental analytics; pay per crawl keeps costs low with flawless dataset quality.

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Crawler properties endpoint is a game-changer—fast scraping and accurate property datasets for market insights.

Sarah Patel
Sarah Patel
Real Estate Developer
★★★★★
5.0

Seamless integration of the pay per crawl scraper; JSON property data API outputs are perfect for our pipelines.

Mike Chen
Mike Chen
Backend Engineer
★★★★★
4.8

Built competitor tracking with dataset property extracts—reliable and cost-effective OpenRent scraping.

Emma Walsh
Emma Walsh
Growth Manager
★★★★★
5.0

High-quality crawler properties data fueled our price prediction models; easy Python integration.

David Kim
David Kim
ML Engineer
★★★★★
4.9

Pay per result model is genius for bootstrapping property data API access without huge upfront costs.

Lisa Moreno
Lisa Moreno
PropTech Founder
★★★★★
5.0

Property datasets from this scraper are pristine—beats manual crawling every time.

Tom Hargrove
Tom Hargrove
BI Specialist
★★★★★
4.7

Quick setup for crawler properties monitoring; the API handles everything reliably.

Nina Sokolov
Nina Sokolov
Investment Analyst
★★★★★
5.0

Scalable pay per crawl for massive property data pulls—JSON structure is impeccable.

Raj Singh
Raj Singh
DevOps Lead
★★★★★
4.9

Dataset property generation is effortless; transformed our UK rental research workflow.

Claire Dubois
Claire Dubois
Market Researcher
★★★★★
5.0

The property data API transformed our rental analytics; pay per crawl keeps costs low with flawless dataset quality.

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Crawler properties endpoint is a game-changer—fast scraping and accurate property datasets for market insights.

Sarah Patel
Sarah Patel
Real Estate Developer
★★★★★
5.0

Seamless integration of the pay per crawl scraper; JSON property data API outputs are perfect for our pipelines.

Mike Chen
Mike Chen
Backend Engineer
★★★★★
4.8

Built competitor tracking with dataset property extracts—reliable and cost-effective OpenRent scraping.

Emma Walsh
Emma Walsh
Growth Manager
★★★★★
5.0

High-quality crawler properties data fueled our price prediction models; easy Python integration.

David Kim
David Kim
ML Engineer
★★★★★
4.9

Pay per result model is genius for bootstrapping property data API access without huge upfront costs.

Lisa Moreno
Lisa Moreno
PropTech Founder
★★★★★
5.0

Property datasets from this scraper are pristine—beats manual crawling every time.

Tom Hargrove
Tom Hargrove
BI Specialist
★★★★★
4.7

Quick setup for crawler properties monitoring; the API handles everything reliably.

Nina Sokolov
Nina Sokolov
Investment Analyst
★★★★★
5.0

Scalable pay per crawl for massive property data pulls—JSON structure is impeccable.

Raj Singh
Raj Singh
DevOps Lead
★★★★★
4.9

Dataset property generation is effortless; transformed our UK rental research workflow.

Claire Dubois
Claire Dubois
Market Researcher
★★★★★
5.0

The property data API transformed our rental analytics; pay per crawl keeps costs low with flawless dataset quality.

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Crawler properties endpoint is a game-changer—fast scraping and accurate property datasets for market insights.

Sarah Patel
Sarah Patel
Real Estate Developer
★★★★★
5.0

Seamless integration of the pay per crawl scraper; JSON property data API outputs are perfect for our pipelines.

Mike Chen
Mike Chen
Backend Engineer
★★★★★
4.8

Built competitor tracking with dataset property extracts—reliable and cost-effective OpenRent scraping.

Emma Walsh
Emma Walsh
Growth Manager
★★★★★
5.0

High-quality crawler properties data fueled our price prediction models; easy Python integration.

David Kim
David Kim
ML Engineer
★★★★★
4.9

Pay per result model is genius for bootstrapping property data API access without huge upfront costs.

Lisa Moreno
Lisa Moreno
PropTech Founder
★★★★★
5.0

Property datasets from this scraper are pristine—beats manual crawling every time.

Tom Hargrove
Tom Hargrove
BI Specialist
★★★★★
4.7

Quick setup for crawler properties monitoring; the API handles everything reliably.

Nina Sokolov
Nina Sokolov
Investment Analyst
★★★★★
5.0

Scalable pay per crawl for massive property data pulls—JSON structure is impeccable.

Raj Singh
Raj Singh
DevOps Lead
★★★★★
4.9

Dataset property generation is effortless; transformed our UK rental research workflow.

Claire Dubois
Claire Dubois
Market Researcher
★★★★★
5.0

The property data API transformed our rental analytics; pay per crawl keeps costs low with flawless dataset quality.

Alex Rivera
Alex Rivera
Data Analyst
★★★★★
4.9

Crawler properties endpoint is a game-changer—fast scraping and accurate property datasets for market insights.

Sarah Patel
Sarah Patel
Real Estate Developer
★★★★★
5.0

Seamless integration of the pay per crawl scraper; JSON property data API outputs are perfect for our pipelines.

Mike Chen
Mike Chen
Backend Engineer
★★★★★
4.8

Built competitor tracking with dataset property extracts—reliable and cost-effective OpenRent scraping.

Emma Walsh
Emma Walsh
Growth Manager
★★★★★
5.0

High-quality crawler properties data fueled our price prediction models; easy Python integration.

David Kim
David Kim
ML Engineer
★★★★★
4.9

Pay per result model is genius for bootstrapping property data API access without huge upfront costs.

Lisa Moreno
Lisa Moreno
PropTech Founder
★★★★★
5.0

Property datasets from this scraper are pristine—beats manual crawling every time.

Tom Hargrove
Tom Hargrove
BI Specialist
★★★★★
4.7

Quick setup for crawler properties monitoring; the API handles everything reliably.

Nina Sokolov
Nina Sokolov
Investment Analyst
★★★★★
5.0

Scalable pay per crawl for massive property data pulls—JSON structure is impeccable.

Raj Singh
Raj Singh
DevOps Lead
★★★★★
4.9

Dataset property generation is effortless; transformed our UK rental research workflow.

Claire Dubois
Claire Dubois
Market Researcher
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자주 묻는 질문

XCrawl에 대해 꼭 알아야 할 모든 것.

How does the OpenRent Property Scraper API architecture work?
Send API requests specifying properties or searches; our cloud crawlers fetch, parse, and return structured JSON property datasets instantly.
What factors determine the pay per crawl pricing?
Pricing scales by successful results delivered, data volume per request, crawl frequency, and endpoint complexity—no subscriptions required.
What OpenRent data coverage and limitations apply?
Full public listings including search results, property details, agents, images; excludes user logins or private messages.
Is scraping OpenRent legally compliant?
We only access and extract publicly available data, adhering to robots.txt, rate limits, and fair use principles.
What integration and support options are available?
Comprehensive docs, Python/Node SDKs, webhook support, and 24/7 chat/email for property data API troubleshooting.

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