- 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.
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. The entire process needed an overhaul.
“We need real-time data on-demand to give our customers the best insights. Our team was always struggling to meet demands and deadlines. With Grepsr, we have now automated all our extractions. And our customers are more satisfied than ever before!”
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!
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's restrictions
Most websites place limits on how many requests can be made in a set period of time, and regularly block crawlers from accessing their content.