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How Grepsr Turned Social Media Data into Strategic Insights for a Beer Company

Overview

Our partner, a leading AI company, provides advanced analytics and machine learning solutions to Fortune 500 clients across industries like healthcare, insurance, and consumer goods. In 2022, they approached Grepsr to support a key project for one of their clients, a major beer company.

 

The goal was to collect user-generated content or social media data from popular social media and video-sharing platforms. They were used to train and power a customer sentiment analysis model. With evolving requests and time-sensitive deliverables, they needed a partner who could move fast, stay flexible, and deliver consistent, high-quality data.

This marked the beginning of a collaboration between Grepsr and the leading AI company. 

Turning Social Media Data into Strategic Insights
Key points
  • Evolving data needs: Our partner needed tailored datasets for different clients, each with separate sites, keywords, and data fields. For the beer company, this meant collecting brand-related content from social media and review platforms to fuel sentiment analysis.
  • Multiple sources: Data had to be extracted from multiple platforms, each with unique technical structures and scraping challenges. We normalized this data into consistent formats that could be directly fed into advanced machine learning models.
  • Technical expertise & flexibility: Platforms like Facebook and Amazon used anti-scraping tactics like dynamic content loading, Captchas and IP blocking. We bypassed them with advanced techniques, like headless browser and proxy rotation, to ensure uninterrupted, consistent data extraction.
  • Agility under pressure: Despite frequent scope changes and short turnaround times, our data delivery team operated with speed, adjusting extraction workflows, managing new keyword lists, and aligning delivery schedules without missing a beat. This built trust that evolved over time, metamorphosing us from a data vendor to a strategic partner.

Challenges

The leading AI company worked across several projects, each involving different end clients with various social media data and constantly shifting priorities. For the beer company specifically, they tasked Grepsr with collecting data from multiple platforms, each with its own structure, access rules, and scraping limitations.

These platforms frequently deploy anti-scraping measures such as IP blocking, Captchas, dynamic content loading, and lazy rendering. This made it difficult to access complete and accurate data using standard scraping methods. To overcome these barriers, Grepsr had to design platform-specific workflows that could adapt in real time to changing layouts and content-loading behaviors.

At the same time, our partner regularly updated keyword lists, changed platform focus, and adjusted delivery timelines. They expected quick turnarounds and uninterrupted data delivery regardless of scope changes. Balancing speed with stability without compromising on data quality or consistency was non-negotiable. So, the partner always kept us on our toes as we moved forward.

In short, this whole partnership wasn’t just a standard scraping project, it was a moving target that required both technical web scraping expertise (eg, using Puppeteer, Captcha solver and Proxy rotation)and strategic alignment(flexible and adaptive to evolving needs).

Our data project, if we hadn’t automated through GREPSR would take weeks to complete each month. Working through GREPSR is as easy as it gets. The data comes to us neatly packaged and downloadable. We save hours and hours of work hours each month and can provide up-to-date information regularly for customers. We’ve enlisted their service for years.

G2 User in Retail Small-Business(50 or fewer emp.)

100 K+

posts and reviews analyzed

24 -hour

turnaround time or less

8 %

Marketing Attribution Rate (MAR) growth

Solutions

To meet the evolving and multi-layered requirements of our partner, Grepsr took a highly adaptive and consultative approach from day one. 

There are many limitations of conventional scraping methods, especially on dynamic platforms where the data is hidden behind scrolls or click actions. So, we deployed headless browsers and JavaScript rendering techniques to ensure full content capture. 

We drew on our experience with rapidly changing requirements to provide ongoing consultation, helping the client refine their data needs and scope effectively.

These solutions were further optimized with rate limits on HTTP requests and proxy rotation to prevent IP blocks and ensure stability across high-volume runs. For each platform, we built custom crawlers that could adjust to layout changes without requiring constant human intervention. 

On the operational side, we have a flexible data management platform that allows the partner to incorporate new keywords, schedule crawler run frequencies, and delivery timelines with ease.

Transparent communication also played a key role in this process as we maintained an open feedback loop with the partner, providing regular updates and consulting on feasibility. Thus, even under tight timelines and shifting scopes, Grepsr delivers consistent, high-quality data.

Eventually, what started as a one-time project later turned into a trusted partnership built on reliability and results.

 

Responsive, Reliable, and Tailored for you

No matter how fast things moved or how often priorities shifted, Grepsr stayed in sync. We delivered exactly what was needed, when it was needed, with consistency and care like a true partner.

Solutions

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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