Crawlkit vs QuickData.ai
Side-by-side comparison to help you choose the right AI tool.
Crawlkit
CrawlKit is an API-first web scraping platform that effortlessly extracts data, monitors changes, and captures screen...
QuickData.ai
QuickData.ai automates rent roll and T12 data entry into Excel to accelerate multifamily underwriting.
Feature Comparison
Crawlkit
One-Click Data Extraction
CrawlKit offers an incredibly simple API that allows you to extract data from any URL with just a single request. This feature eliminates the headaches associated with managing scraping infrastructure, enabling you to focus solely on data utilization.
Real-Time Change Monitoring
With CrawlKit, you can effortlessly track changes in prices, stock levels, or content updates across websites in real-time. This feature is particularly valuable for e-commerce businesses and market analysts who need to stay updated on market trends and competitive pricing.
Automated Screenshot Capture
In addition to data extraction, CrawlKit lets you capture full-page screenshots of any URL in either PNG or PDF format. This is especially useful for documenting web layouts, monitoring changes visually, or archiving web content for compliance purposes.
High Success Rate and Speed
CrawlKit boasts industry-leading success rates and lightning-fast response times, averaging under 500 milliseconds. This means you can rely on CrawlKit to deliver the data you need quickly and consistently, even when websites update their security measures.
QuickData.ai
Automated Rent Roll Parsing
This feature intelligently scans uploaded rent roll documents, whether in PDF or Excel format, and extracts unit-level details like apartment numbers, square footage, bedroom/bathroom count, current rent, and lease expiration dates. It understands the structure of various rent roll templates and accurately pulls the data, saving you from manually typing or copy-pasting hundreds of lines of information into your model.
Intelligent T12 Statement Extraction
QuickData.ai's AI is trained to identify and extract key financial data from Trailing 12 Month income statements. It captures revenue lines like rental income, other income, and concessions, as well as expense categories such as payroll, utilities, repairs, and marketing. This automation ensures your underwriting model starts with accurate, verified historical operating data in seconds.
Seamless Excel Integration
The tool works directly inside Microsoft Excel as an add-in, requiring no complex software switches or data exports. Once the data is extracted, you can map it with one click to your specific underwriting model's input cells. It's designed to integrate with your existing workflow and models, not force you to adopt a new platform.
One-Click Document Processing
The entire process is built for speed and simplicity. After installing the add-in, you simply upload your source document (rent roll, T12, or OM) and with a single click, QuickData.ai's engine goes to work. It processes the file, extracts the relevant data, and prepares it for import into Excel, transforming a multi-step manual task into an effortless, automated procedure.
Use Cases
Crawlkit
E-Commerce Price Tracking
For e-commerce businesses, CrawlKit can be used to monitor competitor pricing in real-time. By extracting price data regularly, companies can adjust their pricing strategies accordingly to stay competitive in the market.
Market Research and Competitor Analysis
CrawlKit serves as a critical tool for market researchers who need to gather data from various sources. By using its web search API, teams can programmatically extract structured data about competitors, trends, and consumer sentiment.
Content Aggregation and Analysis
Content marketers can leverage CrawlKit to scrape content from multiple sources for aggregation and analysis. This allows them to gain insights into industry trends, popular topics, and audience engagement strategies.
Academic Research and Data Collection
For academic researchers, CrawlKit simplifies the process of collecting data from online sources for studies. It can be used to extract relevant data sets from various websites, making it easier to conduct comprehensive research without the manual labor of traditional data collection methods.
QuickData.ai
Accelerating Acquisitions Underwriting
Acquisitions analysts can underwrite potential multifamily deals in minutes instead of hours. By instantly importing rent roll and T12 data into their financial models, they can rapidly assess property performance, run sensitivity analyses, and prepare investment committee packages much faster, allowing them to evaluate more deals and move quickly on competitive opportunities.
Enhancing Broker Deal Preparation
Commercial real estate brokers can use QuickData.ai to quickly populate offering memorandums and create accurate, data-rich pitch books for sellers. By automating the data compilation from existing documents, brokers save significant time, reduce errors in their marketing materials, and can provide potential buyers with clean, immediately usable data packages.
Streamlining Lender Due Diligence
Lenders and debt underwriters can expedite their loan approval process. The tool allows them to quickly extract and verify historical operating data (T12s) and current occupancy details (rent rolls) from borrower submissions. This speeds up cash flow analysis, improves underwriting accuracy, and helps in making faster, more informed financing decisions.
Supporting Accounting Firm Audits
Accounting firms servicing real estate clients can utilize QuickData.ai to efficiently gather and organize property-level financial data for audit and analysis purposes. Automating the extraction from provided statements reduces manual entry time for junior staff, minimizes transposition errors, and allows senior professionals to focus on higher-level review and advisory services.