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Here's what our customers say about us
Prompt support delivered with incredible customer service. They were always responsive and addressed all questions. The customer representative also went the extra mile in helping us scope the relevant websites in order to have the most well organized output.
I struggled a lot with DataMiner and still can’t manage using it. Grepsr literally saved me. It’s simply intuitive and easy to use. I had one page where data was not taken properly. After submitting information on support they fixed that in one day. Such an amazing result even keeping in mind that I am not a paid customer. Thanks a lot!
The team at Grepsr were extremely accommodating to our needs and developed a bespoke report based on data that was relevant to our business. They were quick to respond, communicated throughout the process and delivered our purchase quickly. We are very happy with the service and would recommend it.
Great customer support when it’s needed. They are fast to reply, and fast to fix any problem we have had with design changes on a website we are scraping from. Their personal approach is what made me choose their service.
A collection of articles, announcements and updates from Grepsr
Before the Model: Understanding the Data That Runs AI
Ask anyone what powers ChatGPT, and they’ll probably say ‘AI’ or ‘algorithms’ or something about deep learning. Fair. But what most people miss is the ingredient behind these AI models: data. Mountains of data. Chatbots answering support queries. Recommendation engines that get you. All of it depends on training data: the right kind, in the […]
Data For Humanity: How Web Scraping Helps Social Work
When most people hear “web scraping,” they think of dynamic pricing engines, SEO hacks, or someone trying to outsmart a paywall. What they don’t picture is a social worker trying to figure out where housing support is most needed or a researcher mapping mental health stigma across Reddit threads. So many social issues we care […]
Screen Scraping: 4 Important Questions for Scoping your Web Project
Screen scraping should be easy. Often, however, it’s not. If you’ve ever used a data extraction software and then spent an hour learning/configuring XPaths and RegEx, you know how annoying web scraping can get. Even if you do manage to pull the data, it takes way more time to structure it than to make the […]
Using Web Scraping for Sentiment Analysis in Market Research
What if you could tell exactly what your customers think before they even tell you? That’s what sentiment analysis does. These days, opinions flood social media, review sites, and forums at crazy speeds. But how do you make sense of it all? You can’t manually work your way through millions of tweets, comments, and reviews; […]
Image Scraping — What is It & How is It Done?
The internet is a visual jungle. From Instagram stories to product thumbnails on Amazon, our attention is constantly hijacked by images. They’re not just decorative — they influence what we buy, who we follow, and how we feel. Yet, while businesses scramble for keywords and user clicks, there’s a goldmine hiding in plain sight: images. […]
Top Web Scraping Use Cases for 2025
It’s 2025. Web scraping isn’t just limited to collecting pricing or stock market data. In fact, people now use web scraping for everything from AI training to working on political strategy. This banger of a comment made 9 years ago answers the question, ‘why scrape the web?’ (It’s surprising how it’s still so relevant). Via […]
Web Scraping for AI-Powered Price Optimization
Why does your flight fare change every time you check it? How did that $12 book on Amazon turn $15 today? That’s dynamic pricing: Businesses constantly adjust product prices based on demand, competition, and market trends. But these decisions aren’t made manually; companies rely on AI-powered tools for setting up dynamic prices. These tools process […]
How RPA Web Scraping Automates Market Research Across Industries
As mathematician Clive Humby famously said, ‘Data is the new oil.’ But like crude oil, raw data holds little value until it’s refined, processed, and turned into something meaningful. Before that transformation begins, however, the first step is extraction—gathering data at scale to uncover actionable insights. Especially in market research, analyzing customer reviews, competitor offerings, […]
Why Data Quality Matters in Training AI Models
Data quality is the second biggest reason why almost 80% of AI projects fail, the first being a lack of right decision-making by a company’s leadership. AI is only as good as the data it learns from. Feed it junk, and it will confidently make mistakes at scale. When AI learns from flawed information, the […]
