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Real Estate Data Intelligence Company Uses Grepsr’s Web Scraping Services to Stay Ahead of the Curve

Overview

A real estate intelligence agency cannot afford to have gaps in either of its residential or commercial property data. After dabbling in, and growing out of, in-house web crawling methods that were not yielding on-demand data that their customers wanted to buy, our client decided to look for solutions. Afterward, they realized that extracting data from various sources and storing information manually was a tedious and expensive task prone to errors.

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Key points
  • Extracting large volumes of data was proving infeasible and resource-draining for our client’s in-house team.
  • They needed accurate, actionable-out-of-the-box datasets on-demand.
  • Grepsr provided quick turnaround times, with high-quality data during each delivery.
  • Our clients are now well-equipped to go toe-to-toe with the biggest names in their industry.

Challenges

Bob, the product manager, required a reliable web scraping solution which could automate the web crawling process across various sources of data and generate actionable datasets faster than anyone else on the market.

The client’s earlier in-house solution required overheads. The development team, which was tasked with the responsibility of web scraping sophisticated datasets that would enable the end customer to make a purchase decision, was delivering scattered, inconclusive results. So, the entire process needed an overhaul.

15 M+

Web data parsed per day

3 X

Faster turnaround

75 %

Increase in deal closures

Solutions

We introduced our clients to a heady cocktail of efficiency and speed. Our web-crawling efforts yielded reliable data sets that were in tandem with real-world events in the real estate field. Our clients were able to double down on their capacities and focus on increasing the top line by closing nationwide clients who needed varied datasets from time to time.

More datasets = more business

Grepsr helped them hit a home run and deliver landmark billings year on year.

With Grepsr, our clients were able to reduce inefficient overheads and time-consuming methods that were proving to be expensive roadblocks in their growth path. Our web scraper came in handy and helped the organisation achieve the scale of operations that it so desired. Not to mention the goodwill earned in the market for delivering consistent results; they were equipped to take on bigger competitors!

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Similar challenges faced across the industry:

Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals, as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.

Overcoming data source restrictions

Most websites place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.

PROCESS

Getting started with Grepsr

Start with Grepsr in a few easy steps. Leave the data sourcing heavy lifting to us, so you can focus on innovation and growth.

1

Initial project consultation

First, we'll discuss the specifics of your web data needs and the KPIs you would like to have in order to ensure successful project execution.

2

Instrument web crawlers

We'll then set up automated extractions specific to your use-case, and send you a sample dataset before moving on to a full-scale crawl.

3

Begin data collection

Once you've approved the sample data, we will start scaling and performing the full run, and deliver the data in the agreed timeframe.

4

Hassle-free maintenance

Our team will ensure that all subsequent runs are running well, and that your data is delivered as scheduled with the least disruption.

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