- They use AI to empower brands to make data-driven decisions.
- Social analytics delivers contextual and real-time insights into market trends.
- Important brands rely on their analytics expertise.
- The platform processes billions of structured and unstructured data.
- Natural Language Processing is used to perform qualitative data analysis.
Since they use AI to generate insights, our clients need access to enormous volumes of data, so the algorithm has more fodder to chew on. This data can number in the billions, without accounting for the too-many-to-count data sources. To make matters worse, these sources often pose a tricky route for data extraction.
The client needed a viable partner who had the tools and experience extracting data from the most difficult data sources. And, they needed it done fast.
“Our clients are top-tier enterprises in their industry. Since we use AI to provide them with key insights, we needed to receive quality data within strict deadlines. Kudos to the Grepsr team for handling the data acquisition part seamlessly. The Customer Success team was super as well!”
Grepsr has amassed immense experience in web data extraction over the last decade. We leveraged our expertise immediately to provide our partner with relevant data at scale. Our fair prices for this use-case added glitter to gold. Considering they had their own obligations to meet, we ensured timely delivery of data, in keeping with the highest standards.
We took extra care with the quality of data (as we always do) so their algorithms had only the best data to work with. Our Customer Success team took it upon themselves to make that happen.
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 restrictions by source websites
Most data sources place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.
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.
Data acquisition doesn’t have to be a burden
Offload your routine data extractions on our able hands, and focus on more pressing matters.
Shaping a prosperous future with data-driven decisions
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