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Project Overview

In today's digital era, our first instinct is to turn to the web to look up movies and shows. It offers endless information - from ratings and cast details to reviews and more. With this valuable data, writers can easily brainstorm new creative ideas and write content for stories that could become the next blockbuster.

Recently, a prominent author and film enthusiast approached us with a specific goal: building a comprehensive database of films featuring disability themes.

Our team developed an AI-powered data extraction solution that systematically collected and organized data from different authoritative sources, including Wikipedia, IMDB, and Google search results.

About the Client

As a writer in film and media research, our client wanted to study how disability is portrayed in movies. They needed to gather detailed film data - from cast information and accessibility features to audience reviews across different platforms - to support their creative process.

However, the manual collection of data was taking time away from their core work of writing. The client sought our services to automate this time-consuming process, allowing them to conduct more thorough research and come up with excellent content.

The Challenges

The client wanted to build a comprehensive database of films by gathering information from multiple platforms like IMDB, Wikipedia, and other Google search results pages. However, manual data collection from these various websites presented several challenges:

• Film platforms like IMDB and Rotten Tomatoes structured their data differently, making it time-consuming to find and extract relevant details from each place.

• The large volume of global film releases, including those focusing on disability, required constant monitoring for comprehensive coverage.

• Platform-specific search limitations like CAPTCHAs prevented third-party sources from scrapping data from websites.

• Differences in what qualified as a "film for disabled people" varied (e.g., films about disabilities, featuring disabled actors, or with accessibility features), creating complexity in data categorization.

• The platforms and the accompanying descriptions didn't specifically indicate if films included disability representation, making it difficult to identify and verify relevant content.

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Summing Up

Smart data collection can make any job easier - no matter how specific or complex. We helped turn endless hours of manual research into a smooth, automated process that actually worked.

That's what we do best at Relu: figure out clever ways to gather and organize data, whether you're studying movies, tracking market trends, or doing something completely different.

Got an interesting data problem? Let's solve it together!

How Did We Fix This?

At Relu, we developed an AI data scraping solution to collect film data from Google search results, Wikipedia, and IMDB. The solution was specifically designed to identify and collect information about films focusing on disability, ensuring accurate results.

Here's exactly how the process went:

• Used SERP modules to extract relevant film information from search engine results

• Applied AI-based validation to verify each film's relevance and accuracy before extracting information

• Implemented data formatting algorithms to convert information into a standardized and consistent structure

• Created an automated system to fill data gaps with appropriate placeholders, ensuring uniformity across the dataset

Key Features of Our Solution

Our automated data scraping system enhanced the client's research capabilities with these core features:

1. Advanced Metadata Scraping: Our system uses advanced SERP modules to gather film insights from multiple platforms, including Google search results, IMDB, and Wikipedia.

2. AI-Based Validation System: The solution employs AI to ensure the database only includes films that genuinely represent disability themes while automatically detecting and correcting inconsistencies.

3. Automated Data Structuring: Our system organizes the information into a standardized format, automatically structuring details like titles, release years, and filmmaker information while maintaining consistency.

4. Customization: The solution is specifically designed to focus on films with disability representation. It captures detailed insights about character portrayals, accessibility features, and more, providing valuable context for research and analysis.

Results

Our AI-driven automated data scraping solution helped the client with an in-depth analysis of disability representation in cinema. They could now easily access details about movie names, cast, release dates, accessibility features, and more.

Its AI-powered validation system enabled them to collect vital data from multiple platforms. Our advanced algorithms and automated filing ensured uniformity in how films were structured and represented.

Through automated updates, the client could efficiently track new film releases and update existing entries, keeping their research database fresh and updated.

The AI scraper transformed a time-consuming manual process into a streamlined system, providing our client with an effortless and reliable way to get insights in the film and media industry.

Project Overview

Filmmaker interviews serve as valuable resources for writers to understand cinematic history and filmmaking.  

Recently, a researcher came to us with an interesting challenge: they needed to gather every interview ever done with the legendary filmmaker Jacques Tati. The interviews were everywhere - scattered across websites, in different languages, some in text, others in video and audio. Manually collecting all this would have taken months of tedious work.

That's where we stepped in. We built a smart web scraping tool that could automatically find, collect, and organize all these interviews into one easy-to-use digital collection. Instead of endless hours of copying and pasting, our client could now focus on what really mattered - understanding Tati's artistic vision through his own words.

The Challenges

Our client wanted to gather all interviews of filmmaker Jacques Tati from across the internet. These came in different formats - text, audio, and video - and were spread out across many websites and languages. This made it hard to collect and arrange them in one place.

The client faced several major challenges:‍

• Websites used security tools like CAPTCHAs, which required advanced methods to overcome and extract data.

• Most interviews were protected by copyright and cannot be scraped or accessed without permission.

• Websites using JavaScript frameworks (e.g., React, Angular) dynamically load content, making it challenging to locate data in the HTML source.

• Different websites or pages structured interviews in various ways, requiring unique data collection methods for each platform.

• The quality of data wasn't consistent, as some platforms had incomplete or inconsistent information.

To Sum Up

Building this research archive showed that complex data challenges often need custom-built answers. At Relu, we specialize in crafting targeted solutions to collect, sort, and deliver information that fits each project's specific needs.

From handling multi-language content to processing different data formats, we adapt our approach to solve the problem at hand.

Ready to streamline your data collection process? We'd love to explore solutions together!

How Our Solution Helped

At Relu, we developed an automated web scraper script to locate and gather Jacques Tati's interviews across multiple platforms. Our solution worked around common data scraping obstacles and ensured the client could collect all available interview content.

The solution included: 

• A specialized web script that searched through Google results to identify interviews across text, video, and audio formats.

• Advanced AI validation systems to verify each interview's authenticity and relevance.

• Integrated translation and transcription capabilities to convert all content into English.

• Standardization protocols to organize all interviews into a consistent, unified format.

‍What Made Our Web Scraping Tool Different

Here's what our custom solution brought to the table:

1. Smart Search Functionality: A unique script that searched through Google search results to find Jacques Tati's interviews in text, video, and audio formats.

2. AI-Based Content Validation: It made use of AI to scrape website and checked each piece of content before extracting them to ensure that the collected data is of quality and relevance to the client.

3. Language Processing: The system comes with built-in translation and transcription tools that convert all gathered interviews into English, making the content easily accessible.

4. Standardization Protocols: The ability to standardize all collected interviews into a unified format, creating a well-structured and easy-to-navigate database.

Results

Our web scraping solution transformed how our client handled their research. We built them a comprehensive digital archive containing all of Jacques Tati's interviews, properly translated to English and verified for accuracy.

What used to take hours of manual searching and organizing now happened automatically!

The result was simple but powerful: our client could stop worrying about data collection and focus entirely on their research and writing. With a single, organized source for all of Tati's interviews, they could work more efficiently and be confident they weren't missing any important content.

Project Overview

From property listings to tenant preferences, the internet is home to valuable data. By accessing this information, real estate agencies gain comprehensive market insights. They can spot market opportunities faster, price properties more accurately, and better understand buyer preferences.

However, extracting and organizing this data from multiple platforms requires significant time and resources. Our company partnered with a leading Australian real estate agency to solve this challenge by developing an automated data scraping bot.  

The custom-built solution efficiently aggregated real estate data from three platforms: RealEstate.com.au, Domain.com.au, and Property.com.au. This tool automatically extracted various types of data, including property listings, agent details, suburb insights, and pricing trends.  

Additionally, it structured all extracted information directly into Google Sheets under proper sub-heads. By continuously updating data, our bot offered the client with a real time view of the real estate market to make strategic decisions on time.  

About the Client

In Australia's real estate market, staying ahead means being smart about how you work. The biggest names in property have grown by focusing on new ideas and sustainable buildings, using modern technology to attract both buyers and investors.

Data is what drives success in this competitive field. Having up-to-date information about properties, prices, and market trends helps real estate agencies understand what buyers want and stay competitive.

This is why one of our clients, a real estate agency, came to us for help with web scraping. They wanted to better understand their city's property market by collecting data about listings, prices, what types of homes people prefer, and which neighbourhoods are popular.

With these insights, they could improve their marketing and make sure they're offering the right properties to the right people.

The Challenges

The client wanted to obtain a 360-degree market view by combining property data from multiple real estate platforms.  

The issue was each platform had distinct search parameters and data structures which required advanced solutions to merge and clean listings while keeping valuable information from each source. During this process, they encountered several challenges. ‍

Technical Complexity

• Targeted real estate platforms employed sophisticated structures with dynamic, interactive elements that made data extraction harder using simple tools  

• Frequent updates in the website structures caused scrapers to break often and demanded constant maintenance  

• Scraping excessively led to IP bans or blacklisting from property platforms, damaging relationships with these sites ‍

Data Management Issues

• Identifying and merging duplicate listings across platforms while preserving unique data points in excel was hard manually  

• Organizing extracted data into multiple sheets based on varying parameters was complicated because of mismatched formats and fields  

• Continuously monitoring and regularly updating data in real-time was time-consuming without advanced scrap setups  

These challenges needed a sophisticated solution that could manage complex web structures, automated data extraction, and real-time organization - all while navigating the technical restrictions of multiple platforms.

Wrapping Up

The success of this project proved the transformative power to automate form submission. By using tools like Airtable and browser automation, businesses can reduce manual effort, improve accuracy, and scale their operations effortlessly.

If your organization needs a break from inefficient manual form submission, let us help you build a customized solution to automate your workflow.  

Partner with Relu Consultancy to transform your business challenges into opportunities. Our team specializes in building custom automated solutions that save time, reduce manual work, and deliver actionable insights.  

Whether you need data extraction, processing, or analysis, we'll create a tailored solution that drives your business forward.

How Did We Fix This?

Our team developed an automated data scraping bot to help the client with real-time data collection and analysis.  

The solution combined web scraping technology with intelligent data processing abilities that made it easy to access listings, prices, and market insights in one place from different sources.  

Here's what our team did:

• Employed a Selenium-based automation framework that naturally simulates human browsing patterns  

• Implemented enterprise-grade security features, including IP rotation, to ensure reliable and automated data collection  

• Built a Python-powered data pipeline for cleaning and structuring extracted information directly into Google sheets

• Developed smart duplicate detection algorithms to consolidate listings across multiple platforms while preserving unique details from each source

• Created a comprehensive Google sheet with dedicated sections to categorize data based on parameters like listing price, active property listings, suburb profile data, and more  ‍

‍Key Features of Our Solution

Relu’s custom-built automated data scraping bot transformed the client’s real estate data extraction through four powerful capabilities

1. Automated Web Scraping: Our powerful bot solution efficiently collects essential property data across multiple platforms simultaneously. The solution effortlessly handles dynamic elements and successfully bypasses anti-scraping mechanisms like CAPTCHA, ensuring effective data collection.;  

2. Data Processing and Transformation: The solution implements a robust ETL process that automatically cleans, merges, and organizes data within Google sheets. There are dedicated tabs in the sheets to track historical pricing trends, offering valuable market insights.

3. Hosting and Scheduling: Hosted on AWS infrastructure, the system operates continuously without manual intervention. This cloud-based approach ensures data remains fresh and relevant through automated updates.

4. Anti-Detection Measures: The solution employs residential rotating proxies and randomized browsing patterns to avoid IP blocks in data extraction. These strong measures maintain uninterrupted data scraping operations, ensuring consistent data flow.

Results

By partnering with Relu Consultancy, the client transformed their approach to market intelligence. Our custom-built real estate scraper bot delivered immediate, measurable improvements to their operations.

Through our solution, the client eliminated hours of manual data gathering, replacing it with automated, real-time data collection across multiple platforms. The scalable architecture we designed meant they could easily expand their data collection as their needs grew, while our intelligent processing system ensured the information remained accurate and actionable.

The impact was clear - with Relu's automated scraping technology, the client can now:

• Track property listings and price changes in real-time

• Spot neighborhood trends before their competitors

• Make faster, data-driven decisions about their property portfolio

• Adapt quickly to market shifts with reliable, up-to-date information

This strategic advantage helped them move from reactive to proactive market positioning, enabling them to capitalize on emerging real estate opportunities as soon as they arose.

Efficient workflow management is important for any business success, and form submission is the one bottleneck that every business faces. Manual processes are time-consuming, have high chances of error, and are lengthy. In this case study, let’s figure out how Relu has developed a form submission automation solution that changed clients’ operations and streamlined the entire workflow by delivering impactful results.

Project Overview

Our client runs a mid-sized enterprise and often faces challenges like managing their daily operations due to the repetitive and time-intensive task of manually filling out the submission forms across multiple platforms.

The client found it difficult to manage thousands of form submissions, each requiring data from Airtable and Excel. To improve the process, we have created an automation that extracts the data from the platform and populates the forms automatically. It removed the errors of manual entry and increased efficiency. .

Relu gave the solution by designing an automation form submission for their frequently used web forms. This process not only reduced the manual labor but also enhanced the efficiency of the business. Leveraging our expertise in automation and workflow optimization we aim to deliver seamless, scalable, and user-friendly solutions.

Roadblocks faced by the client

There are multiple areas where the client was getting stuck during their form submission process:

Time-consuming manual process: Employee spends hours of their day filling out similar web forms repeatedly. This reduces their productivity on a higher-value task.

Data accuracy issues: Manual data entry invites high chances of error. This resulted in rework and inconsistencies in submitting the information.

Fragmented data sources: Client key data resided in tools like Airtable, Google Sheets, and Excel. This required extensive manual intervention to prepare and submit the report.

High operational costs: The inefficiency of the processes caused an increase in labor costs and delayed workflow. This impacted the entire business agility.

Conclusion

The success of this project proved the transformative power to automate form submission. By using tools like Airtable and browser automation, businesses can reduce manual effort, improve accuracy, and scale their operations effortlessly.

If your organization needs a break from inefficient manual form submission, let us help you build a customized solution to automate your workflow.  

The solution to the problems

Relu has built a comprehensive web forms automation solution that focuses on client needs, to address these challenges. Here’s how the problem has been handled by our expert team:

Understanding the workflow and key pain points

We conducted a detailed discussion about the client to map their current form submission process. This helped us to identify the exact forms, platforms, and workflows they are struggling most with.

Developing a centralized automation framework

Robust tools and API are the solution here. We have developed a system that could automatically pull data from Airtable to transform the required formats. This automatically fills forms on each website. Our approach included:

Airtable integration: We connected the Airtable with automation tools. This allowed seamless data extraction and transformation.

Browser automation scripts: We used technologies like Selenium and Puppeteer to program the bots that navigate through the website, populate the form fields, and handle form submissions without human intervention.

Error detection: We designed built-in checks to ensure that no issues come into the picture like missing data or submission failure.

Customization for client-specific needs

Relu understands that every business has specific needs and goals to meet. To cater to the needs of this business we designed a customizable automation workflow for different departments within the client organization. This allowed the system to adapt to different form submission rules across various platforms.

Ensuring data security and compliance

To maintain data security, we have implemented encryption protocols for storing sensitive information. We followed the industry's best practices to handle client data across forms

Results

Our form submission automation solution delivered transformative results for the client. More details about the impact we created:

80% reduction in time spent on form submissions

Tasks that once took hours were completed within a few minutes. This frees up the employee to dedicate their time to more strategic activities. We have also automated the repetitive task to save constant form submissions.

Enhanced accuracy

Automation reduced manual errors and ensured all submissions were consistent and reliable.

Streamlined operations

The integration strategy with Airtable and other tools improved the process of data handling. Thus, making the workflow smoother from data entry to form submission. All the data is stored centrally for smooth access.

Cost savings

Automating the repetitive tasks helped the client reduce labor costs and improve overall efficiency.

Beyond proving a successful solution for this particular client, this works perfectly for any business or individual grappling with similar challenges. Whether it is about automating form filling for administrative tasks, managing client information, or submitting regulatory documents, web form automation can help achieve consistent, reliable, and scalable results.

Managing finances across platforms like Fiverr, Payoneer, Upwork, and others can be challenging, as each offers unique payment methods, processing fees, and transaction timelines. If your agency or organization uses these tools, you're likely familiar with the difficulty of maintaining a clear financial overview and cost tracking over time. Constantly juggling multiple invoices, cross-platform transfers, exchange rates, and more can lead to errors and inefficiencies.

Let’s find out how management software for agencies can streamline operations, enhance data security, and improve the overall efficiency of managing transactions on multiple platforms.

Key Challenges Faced By An Agency

Here are the major challenges one of our clients faced.

• Managing financial data from multiple sources caused disparity in consolidating payments from different sources and resulted in inefficient budgeting and reporting.

• One of the biggest challenges the agency/client faced was in terms of managing transactions across multiple platforms, project budget management, high payment processing fees of multiple platforms, and accessing detailed transaction histories.

• Other urgent issues were safeguarding private data and adhering to data security laws.

• Routine manual tasks and a lack of automation were draining time and resources, especially when they had to compile records from different sources. This impacted financial accuracy and led to frequent corrections.  

• In the end, they didn’t have the agility to scale, especially when transaction volumes increased.

Conclusion

The challenges of managing transactions across multiple payment gateways highlight the need for a tailored centralized dashboard and team task management app or tool. You can eliminate inefficiencies, ensure secure handling of financial data, and reduce manual errors through automation, data encryption, and compliance. Eventually, you’ll not only be able to simplify financial management but also enable your team to focus on core business operations and activities.  
If you're running an agency, assess your processes and start optimizing for better results.

Get in touch with Relu Consultancy today!

Approach, Strategies & the Solution

Here’s how we relieved their problems of consolidating payment processes and automating workflows.

• We enabled the consolidation of payment data into a single dashboard for seamless transactions. This agency management system involved connecting multiple payment gateways via standardized APIs, automatically fetching data from multiple sources in real-time, and converting different payment data formats into a standard structure.

• With a centralized dashboard, we aggregated payment data from different payment gateways, ensuring a complete view of all transactions. Key features of this dashboard included real-time data consolidation, advanced filters to segment transactions, and comprehensive reports on payment trends.

• We streamlined repetitive tasks related to payments with real-time reconciliation, recurring payment triggers, and tax and invoicing automation.

• We implemented data security measures, including end-to-end encryption to ensure trust and compliance with GDPR and PCI DSS and multi-factor authentication (MFA).

Results and Impact

A centralized financial management system helped the agency eliminate 30% of operational costs, reduce the time required for financial reviews by 50%, and improve accuracy by 95%. Automated workflows minimized the need for manual labor, and streamlining processes with budget management eliminated redundancies. Eventually, they completed audits and reporting in days instead of weeks.

They gained quick access to financial reports and summaries. Real-time insights into cash flows, expenditures, and revenues promoted financial transparency, allowing the top management to make informed decisions quickly. They also seamlessly managed a significant increase in transaction volumes without delays and errors.

There were zero security breaches and sensitive financial data remained secure with encryption and compliance with global standards.

Practical Advice for Agencies

If you too use multiple tools to handle payments and transactions and are struggling with the complexities involved, here’s some actionable advice to optimize financial operations.

• Conduct a comprehensive audit of your financial processes, including workflows and costs. It’ll help you identify inefficiencies and weaknesses in the current system. You can document these findings to create a roadmap for improvements.

• Where possible, automate financial processes to reduce errors, save time, and enhance efficiency. Some common processes you can automate include billing, invoicing, payment tracking, and expense management.

• Leverage APIs for seamless data integration to avoid fragmented financial data. In addition to centralized data management, you can also achieve improved reporting and enhanced accuracy.

• Implementing robust security measures is essential. A single data breach can beget huge losses and damage your organization’s reputation. You can use data encryption, limit access to financial data, and conduct regular security checks.

Actionable insights are essential for effective marketing strategies. Although Instagram is a hub for visual content and data, extracting and leveraging this data presents a challenge. However, using a sophisticated Instagram scraping tool can help people and companies better understand audience behavior, monitor competitors, assess performance, and identify trends. That’s exactly what our IG scraper needed.

This case study will explore the challenges our client faced in extracting data from Instagram and how our IG scraper tool improved competitor analysis and increased lead generation.

Challenges and Analysis of Client’s Needs & Objectives

Challenges:‍

• Instagram's restrictive data policies and frequent updates made it challenging for the client to access information about the competitors’ followers.  

• Tracking ever-evolving follower metrics was not only crucial but also increasingly complex. Traditional manual methods failed to provide real-time insights at scale, creating significant gaps in competitor analysis and leaving opportunities untapped.

• Identifying valuable insights became challenging with large and unstructured datasets. Extracting important data required advanced filtering and processing functionalities.  

Client Needs & Objectives:

• The client needed an Instagram scraping tool to gather detailed information about their competitors’ followers, including their usernames, recent activity, engagement frequency, etc., to understand their social media marketing strategies and analytics.
• Competitor analysis should provide a clear roadmap to enhance marketing strategies, including crafting tailored content and campaigns to attract high-value prospects and convert competitor followers by addressing unmet needs.
• The Instagram scraper tool should be flexible and scalable so users can scale it as their follower counts and data demands grow. It should be able to process a large volume of data without compromising accuracy or speed.
• It should also be able to scrape Instagram followers and identify trends in age groups, locations, and interests of followers to support detailed demographic segmentation.
• The Instagram follower scraper should work transparently and comply with Instagram’s terms of service, privacy guidelines, and other legal frameworks.  

Conclusion

Our IG scraping tool unlocked in-depth audience insights and helped the [client name] refine their marketing strategies. They noticed exceptional results, including increased engagement, higher conversions, and enhanced customer loyalty. In the future, the client plans on using this tool to gain a holistic view of digital trends.

AI-powered analytics for predictive engagement strategies will further amplify this tool’s value, giving individuals and businesses alike immense agility.

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Solution

Social media data scraping tools use advanced technologies to ensure efficient data extraction, storage, and processing. Commonly used technologies include scraping frameworks, scalable databases for unstructured and relational data, and processing tools.

• Firstly, we designed the Instagram data scraping tool for ethical data handling. We implemented measures to ensure it extracts only publicly available data, prevents data misuse, and refrains from unauthorized access. We also made sure it meets privacy guidelines by anonymizing user identifiers and avoiding personally identifiable information (PII). During data storage and transfer, it implements secure data encryption.

• Our Instagram data scraping tool comes with user-friendly dashboards to visualize important insights. Different metrics are displayed with bar charts and heat maps, and interactive graphs highlight engagement metrics to identify high-performing content. We also added a feature to visualize conversion analytics to reveal potential leads and users more likely to convert.

Tool Features and Functionality

Here’s a complete breakdown of the core features and functionalities we added to our specialized social media data scraping tool.

• Instagram Profile Analysis: Gather comprehensive details about followers, including engagement patterns, user profiles, recent activities, and other actionable metrics, providing valuable insights into audience behavior.  

• Automated Data Structuring: Implement dynamic data organization systems with advanced sorting and filtering capabilities, enabling efficient bulk data processing for seamless analysis and reporting.  

• AI-Powered Features: Utilize artificial intelligence to deliver strategic recommendations, leveraging insights from competitor analysis to inform decision-making and optimize marketing strategies.  

Outcomes and Impact

One of the biggest impacts the client noticed with our Instagram scraping tool was in terms of lead generation. They were able to identify high-potential leads by analyzing the customer base of their competitors and pinpointing users who were already engaging with similar brands. This streamlined their outreach efforts and improved ROI with precise targeting of prospects who are more likely to convert.

The client also gained a complete view of follower demographics, content preferences, and engagement patterns with data-driven insights into competitor activity. Tracking these metrics enabled them to refine their content strategy, ensure their marketing campaigns resonated with the target audience, and identify opportunities overlooked by competitors.

Our Instagram scraping tool facilitated smart content creation and targeting for the client. Extracting and analyzing audience behavior helped them understand what resonated with potential customers the most. This led to more tailored and engaging content, which significantly increased interactions and conversions.