The sales productivity platform SMBs and startups actually love.

The challenge

The world is going at a very fast pace, any business that doesn’t speeds up its working cannot survive profitably. It is really hard to think of doing things manually anymore. Accessing essential web data efficiently is vital for businesses. However, extracting relevant information from websites can be time-consuming and complex without the right tool. WebHarvest Pro addresses this challenge by providing the fastest, safest, and highly automated web scraping solution, revolutionizing data extraction for users across all technical backgrounds including Sales, Marketing, Recruitment & Hiring, and possibly all other business function.

We have the Solution in form of WebHarvest Pro

Welcome to WebHarvest Pro, the finest web scraping tool that effortlessly gathers critical business data, including names, email addresses, phone numbers, physical addresses, and contact us page URLs. With just a few clicks, you can unlock valuable insights from the vast internet and that too at a lightning fast speed and with 100% accuracy.

Multi-Industry and Multi-Functional Use Cases:

• Lead Generation: Identify potential clients and acquire their contact information for targeted marketing campaigns.
• Market Research: Uncover competitor insights, industry trends, and market dynamics for informed decision-making.
• Sales Prospecting: Access qualified leads for effective outreach and personalized communication.
• Geographic Analysis: Analyse business presence and opportunities in specific geographic regions for strategic expansion.
• Data-Driven Decision Making: Utilize scraped data to enhance data-driven decision-making across your organization.
• Finding Suppliers & Vendors: It can easily be used to identify new suppliers and vendors for any business
• Finding Distributors: It can be used to find distributors of products and services, further helping in downward business expansion.

How one of our E-Commerce Client effectively used this tool:

A leading e-commerce retailer wanted to enhance its competitive edge by identifying new product suppliers. WebHarvest Pro came to the rescue with its multi-keyword input feature. The retailer entered multiple keywords related to their industry and locations of interest.
WebHarvest Pro intelligently crawled through thousands of websites, quickly extracting valuable supplier information. It scraped the names, email addresses, phone numbers, and physical addresses of potential suppliers, as well as URLs to their contact us pages. Using the Excel data export feature, the retailer seamlessly integrated the extracted data into their CRM and sales database. Armed with a comprehensive list of potential suppliers
and their contact details, the retailer streamlined their outreach efforts, resulting in valuable new partnerships and a strengthened supply chain.

How does this works?

WebHarvest Pro operates as a powerful web crawler, intelligently searching the internet for specified keywords and locations. It swiftly gathers precise data while cap

• Input: Users of WebHarvest Pro can input specific keywords and locations relevant to their data requirements. Whether it’s searching for potential clients in a particular industry or scouting competitor information in specific regions, the tool accommodates diverse search criteria.
• Process: Once the user enters the desired keywords and locations,
  WebHarvest Pro initiates its web crawling process. It navigates through the vast expanse of the internet, intelligently searching for websites that match the specified criteria. The tool’s advanced algorithms ensure efficient and accurate data extraction.
• Output: WebHarvest Pro collects comprehensive data from the identified websites, including business names, email addresses, phone numbers, physical addresses, and URLs to the contact us pages. Moreover, the tool captures and securely stores screenshots of each website’s home page, providing users with visual references for their data.
• Utilizing the data: One of the most powerful features of WebHarvest Pro is its ability to export the extracted data in Excel format. This functionality opens up a world of possibilities for users, enabling seamless integration with various applications and enhancing data utilization in multiple ways including but not limited to Adding data in CRM, Email Marketing, Finding Suppliers & Vendors, Running Targeted Marketing Campaigns, Sales Strategies, Market Segmentation, Competitor Analysis, and so much more.

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The challenge

Our client takes into account, the charities registered at the Australian Charities and Not-for-profits Commission (ACNC), which are nearly 60,000, with the number fluctuating everyday as new charities are registered and others cease to exist. For each charity there is an assorted group of responsible people and the communication channels through which they can be contacted. Collecting all this nonprofit fundraising data manually, would be a tiresome process and would imply a significant drain on human resources, efficiency and profits. The client thus wanted a list of all the new charities, the people of concern and their contact details, all at one place.

The Solution

This is where we come in! Using our automation and python skills, we built a web scraper that would (in seconds) extract the relevant data of new charities, their heads/trustees as well as their contact information from the website and consolidate it all in a list. This list updates on a weekly basis and can also be customized to change at any preferred timespan.

Aside from this, we put HubSpot in place, which helps the client in generating and pushing leads. It also makes the email communication channel amidst employees, and with potential donors and charities, more effective and time saving by providing automation tools.

Advantages

• For quality web scraping solutions. We made the data mining process automated by building a web scraper which not only eased up a tedious data collecting process but also freed up manhours.
• With the introduction of HubSpot, leads were pushed as well as the communication channel was streamlined to ensure effective and efficient communication between employees and, employees and customers.

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The challenge

Sponsorscout faced the challenge of automating web crawling to find newsletters, podcasts, events, and other sponsored content from a diverse range of organizations. Turning thousands of newsletters, watching tons of videos, and keeping track ofcountless events would consume unimaginable man-hours and prove unsustainable. They sought an automated mechanism that could deliver exact results in minimal time, with reduced costs and efforts.

Process

• We initiated the content aggregation process using the Feedly API. This versatile API enabled the automatic extraction of a multitude of newsletters, podcasts, events, and digital content from various sources.
• With the content in hand, we introduced Google Vision API, a robust image analysis tool. It meticulously detected and interpreted elements within images and videos, enhancing our ability to identify sponsor mentions within visual content.
• Google OCR was employed to convert textual information from images and scanned documents into machine-readable text. This tool facilitated text-based analysis and the extraction of valuable information from visual content.
• Google Entity Recognition further enriched the extracted data. It intelligently recognized and categorized entities like names, dates, and locations within the text, enhancing the overall accuracy and structure of the information.
• To fortify the database, we integrated the Crunchbase API. This versatile API provided access to comprehensive information about companies, funding rounds, leadership teams, and more. It empowered us to incorporate accurate and up-to-date company data into the database.
• The n8n Workflow Automation platform allowed us to seamlessly connect and coordinate the various applications, services, and APIs involved in the workflow.
• The extracted and organized data found its home in Airtable, ensuring easy accessibility, storage, and collaboration on the amassed information.

Outcome

With the n8n and make.com automation, our client achieved a continuous and ever-growing list of sponsors from across the web. The data was stored in Airtable, making it universally applicable and allowing easy access and analysis

Conclusion

Using n8n combined with other powerful tools such as Feedly and Google OCR proved to be a game-changer for gosponsorscout.com. Complex and labor-intensive tasks were
effortlessly automated, providing a comprehensive and accurate database of sponsors. The capabilities of n8n and make.com are vast, empowering us to create tailored automations for
countless use cases, meeting the diverse needs of our clients. If you are looking forward to automating tasks involving an organized and structured approach to data, we can help you with our immense expertise with these tools.

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The Challenge

The client had a substantial volume of scanned financial documents from which specific data—Name, Date, and Amount—needed to be extracted accurately. The process was initially manual, proving to be time-consuming, prone to human error, and inefficient for the increasing workload. Furthermore, organizing the extracted data in a systematic manner for easy access and reference posed another major challenge.

For instance, in one month, our solution processed 10,000 documents, with an impressive data accuracy rate of 99.5%. This was a 75% reduction in processing time compared to their previous manual method.

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Conclusion

This case study demonstrates the potent efficiency and accuracy of our data scraping solution in handling large volumes of scanned financial documents. By automating data extraction and organization, we were able to significantly reduce processing time, increase data accuracy, and streamline the document retrieval process. Our solution provides a compelling answer to similar challenges faced by financial institutions and serves as a ready model for future scalability.

Solution

Our team developed and implemented a sophisticated data scraping solution tailored specifically for scanned financial documents. First, the client collected all the relevant documents and provided us with their scanned copies. We then used our solution to scrape the required data. Using advanced data recognition and extraction algorithms, our system was able to identify and extract the necessary information—Name, Date, and Amount—from the various documents.

Once the data was extracted, the solution’s next task was to sort the documents accordingly. We implemented an automated system to create specific folders based on the Date, allowing for systematic organization of the documents. Each scraped document was then saved in its designated folder.

Results

The results of implementing our data scraping and sorting solution were immediately evident and overwhelmingly positive. The client was able to process a significantly larger volume of documents within a short time, with a notable increase in the accuracy of data extraction, eliminating the possibility of human error.

Our solution’s organization feature also proved invaluable. With each document being automatically sorted and saved in a designated folder according to the Date, the client was able to easily access and reference the scraped documents, enhancing their operational efficiency.

The Challenge

Leasing.com boasts an extensive set of filters, sub filters, and sub selections, making the process of reaching the final list of cars a multi-layered task. Users must navigate through a cascade of filter choices, from the basic options like make and model to complex decisions regarding annual mileage, lease length, upfront payments, and finance types. Manually extracting data from Leasing.com’s intricate filter system consumed substantial time and resources for our client. They sought a custom-built tool that could scrape data swiftly, taking into account multiple sets of specific filter combinations.

About Leasing.com: The platform from which data was to be scraped

Leasing.com stands as a leading online platform in the United Kingdom, dedicated to transforming how consumers discover and lease vehicles. The platform’s mission revolves around simplifying the intricate world of car leasing, making it accessible and convenient for individuals across the UK. Leasing.com empowers users with an array of filters, allowing them to  pinpoint their perfect vehicle. These filters include Make & Model, Monthly Budget, Lease Duration, Fuel Type, Body Type, Transmission, Features & Specifications, Colour Preferences, Lease Types, and more.

Specific Requirements

1. Streamline Data Extraction: Our client required a tool to retrieve car data without relying on external APIs or paid tools and wanted a tool that was custom coded from scratch.
2. Navigate Complex Filters: The scraper had to navigate through Leasing.com’s intricate filter hierarchy and the tool to replicate the process of selecting filters as is done by normal users.
3. Speedy Results: Despite the vast data, the client needed quick scraping results.
4. User-Friendly Interface: Rather than code scripts, the client wanted a user-friendly web
   interface to access the tool and obtain data with a single click.

The Output & The Process

We delivered a user-friendly web page with a pre-filled table of filter values, aligning with the client’s frequently used selections. Client could simply click a button associated with each filter set to initiate data scraping. Our tool replicated the manual filter selection process in the background while swiftly presenting results in Excel format on the front end. Separate buttons allowed users to scrape data for the current date or the past 30 days. The final Excel sheet included a wealth of data about vehicles falling under the selected filter set. It encompassed details such as make, model, trim level, model derivative, finance type, pricing for the first, second, and third positions, and providers of the vehicle for the top three positions. This saved the client hours of manual scraping, streamlining the process of accessing vital data.

Conclusion

Our custom tool successfully tackled the complexities of multi-level, multi-filter data scraping, simplifying a formerly labour-intensive process. This achievement demonstrates our capacity to develop similar tools for diverse businesses, facilitating highly intricate scraping tasks within minutes. For businesses aiming to optimize data extraction, our expertise can pave the way for enhanced efficiency and productivity.

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The Challenge

The client required a targeted data extraction tool that could scrape a website listing all internet providers according to zip codes. Their focus was on three main data points: the state in which the internet providers operated, the population covered by each provider, and the maximum speed offered. In addition, they needed detailed information about the company’s size, revenue, and the number of employees. The challenge lay in accurately scraping the required information and organizing it in an accessible, clear, and useful manner.

Our Solution

To meet the client’s needs, we developed an advanced internet provider scraper tailored to their specific requirements. The tool was designed to search the targeted website, extract the relevant information as per the client’s filters, and present the data in an organized Excel sheet.

The scraper was built to capture key data points such as the state of operation, population covered, and maximum speed offered by each provider. Additionally, it was programmed to gather critical business intelligence, including the company’s size, revenue, and employee count.

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Results

The outcome of our solution was transformative for the client. Our scraper significantly reduced the time spent on manual data gathering, resulting in a 80% increase in efficiency. The scraper was able to systematically extract data for over 1,000 internet providers within a short period, presenting accurate, insightful data in an easy-to-analyze format.

By using the scraper, the client could now perform a comparative analysis of various internet providers. This detailed comparison allowed them to make informed business decisions based on data such as population coverage, maximum speed, company size, revenue, and employee count.

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Conclusion

This case study stands as a testament to our expertise in developing tailored data scraping solutions. Our tool empowered the client with data-driven insights, enhancing their operational efficiency and strategic planning. It is our commitment to continuously deliver innovative digital solutions that drive business growth and success. Let us help you unlock new opportunities and propel your business forward.

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