How Be-Incremental Scaled Google Ads Intelligence

How DATAFOREST Restored Large-Scale Google Search Intelligence Across the U.S. and Europe

A marketing intelligence company serving advertisers and digital agencies needed to restore its ability to collect Google Search data after changes to Google's ecosystem disrupted its analytics platform. DATAFOREST restored the client's search intelligence capability with an automated SERP data collection solution that delivers reliable, analytics-ready Google Search and Ads data via APIs. The solution now processes over 1 million search requests per month with an average processing time of 7–13 seconds

Custom Software Development

Data Scraping

Business Process Automation

M+

Google Search requests processed monthly

7-13

sec

to process Google Search requests (client requested)

A B2B marketing intelligence company that helps advertisers, brands, and marketing agencies optimize Google Ads performance. Its platform delivers competitive search intelligence, branded search monitoring, and campaign optimization across the U.S. and Europe, helping customers reduce branded search spend while protecting search visibility.

Python

FastApi

AdsPower

Redis

PostgreSQL

THE CHALLENGE

Restoring Large-Scale Google Search Intelligence

A digital marketing analytics company relied on Google Search data to power its platform and deliver competitive insights to customers. When changes to Google's search ecosystem broke its existing data collection process, the company needed to rebuild this critical capability with an automated, scalable solution capable of continuously collecting advertising data across multiple locations and devices.

Scaling High-Volume Search Data Collection

The client's analytics platform needed to process more than one million Google search requests every month while maintaining reliable, uninterrupted data collection. As demand increased, they required a scalable solution that could automate high-volume data collection without compromising performance or data quality.

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Collecting Accurate Local Search Data

Advertising results vary depending on a user's country, city, and device. The client needed reliable access to localized search results to provide customers with accurate competitive intelligence across multiple countries, cities, and device types.

Maintaining Reliable Data Collection ( Anti-fraud and CAPTCHA Bypassing)

Google continuously updates its protection mechanisms to limit automated data collection. The client needed a solution that could maintain reliable operations while minimizing interruptions and preserving consistent access to advertising data.

Transform search visibility into competitive advantage.

Validate large-scale SERP intelligence capabilities with a focused Proof of Concept in as little as two weeks.

THE SOLUTION

Automated Search Intelligence Solution

DATAFOREST rebuilt the client's search intelligence capability with an automated data collection platform powered by a microservice-based architecture. The solution continuously collects Google Ads and search data across multiple locations and devices, processes it into structured datasets, and delivers analytics-ready data through dedicated microservices. This enables automated campaign analysis, competitive monitoring, and reliable integration with the client's analytics platform.

Scalable Search Data Collection Engine

We built an automated data collection system using advanced web scraping to replicate real Google search scenarios. The platform simulates user behavior based on search parameters—such as keywords, locations, and device types—to collect the same advertising data seen by potential customers. The collected data is delivered through a secure API, providing the client's platform with structured, analytics-ready datasets in near real time.

Resilient Collection Infrastructure

We implemented an intelligent infrastructure that automatically manages browser sessions, location routing, and proxy selection to maintain stable data collection at scale. The system continuously adapts to changing conditions, reducing interruptions while ensuring reliable access to search intelligence.

Geo-Targeted Search Intelligence

We developed a location-aware data collection system that simulates searches from different countries, cities, and devices using regional routing and browser emulation. This enables the client to capture localized advertising data, compare competitors across markets, and deliver accurate regional insights to customers.

THE RESULT

We built a scalable search intelligence system to automate large-scale Google Search and Google Ads data collection using advanced web scraping, and a microservice-based architecture.
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The solution restored the client's core analytics capability, enabled reliable competitive monitoring, and achieved:

1M+

Google Search requests processed monthly

Avr. 7–13 seconds

average processing time per request ( meeting the client's target)

How Be-Incremental Scaled Google Ads Intelligence

Steps of providing data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

Success stories

All Success Stories

Performance Measurement

The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.

17%

increase in sales

25%

Improvement in Employee KPI Achievement Rate

View case study

Amir R.

CEO Fashion Retailer

They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.

Optimise e-commerce with modern data management solutions

An e-commerce business uses reports from multiple platforms to inform its operations but has been storing data manually in various formats, which causes inefficiencies and inconsistencies. To optimize their analytical capabilities and drive decision-making, the client required an automated process for regular collection, processing, and consolidation of their data into a unified data warehouse. We streamlined the process of their critical metrics data into a centralized data repository. The final solution helps the client to quickly and accurately assess their business's performance, optimize their operations, and stay ahead of the competition in the dynamic e-commerce landscape.

450k

DB entries daily

10+

sources integrations

View case study

Lesley D.

Product Owner E-commerce business

Optimise e-commerce with modern data management solutions

We are extremely satisfied with the automated and streamlined process that DATAFOREST has provided for us.

Mailing Platform

We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.

15%

CX boost

20%

cost optimization

View case study

Gonzalo Ramos

Partner Trade Union

DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.

Performance Measurement

17%

increase in sales

25%

Improvement in Employee KPI Achievement Rate

View case study

Amir R.

CEO Fashion Retailer

They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.

Optimise e-commerce with modern data management solutions

450k

DB entries daily

10+

sources integrations

View case study

Lesley D.

Product Owner E-commerce business

We are extremely satisfied with the automated and streamlined process that DATAFOREST has provided for us.

Mailing Platform

15%

CX boost

20%

cost optimization

View case study

Gonzalo Ramos

Partner Trade Union

DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.