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The Challenge

There was a requirement of the details of golf courses which was all available on a website. If that data was to be used for any process, it was first required to be exported in a proper format from that website. This could’ve not been manually possible to do as there were hundreds of golf courses.

The Solution

So, this process was automated and details was extracted from the website and an approach was used to also include the latitudinal and longitudinal coordinates of the location of the golf course. It takes few minutes to extract the details of hundreds of golf courses in a format required by the client.

Advantages

• A lot of time and human effort is saved through this process.
• Another similar site can be scraped with minimum changes in the main script.
• The client can get or update existing data within minutes through this process.

The challenge

The client requested that we generate leads from a Taiwan-based e-commerce website called “Shopee.” Our client wanted to expand their business by providing their delivery service to the sellers selling their products on this particular website. Therefore, they asked us to extract a list of all retailers and their details so that they can extend their services to them. They also asked us to find the e-mail addresses and phone numbers to contact the sellers.

Because of the large number of sellers selling their products on Shopee, manually opening, and checking all of the seller profiles appears to be nearly impossible.

The solution

As a result, we used web scraping and web crawling technologies to automate this process. Our data processing technology assisted in extracting the data much faster and without making the targeted website suspicious. To find the contact information we used our in house email and phone number finder code so that our client can contact his customers easily. When the process was completed, we provided a list of seller names, along with their number of followers, joining history, rating, page URL, usernames, product category, number of products sold, number of items sold, email addresses, and phone numbers. We provided this information in an Excel file that the client could easily access.

The outcome

We were able to extract information from that website from around 700+ sellers thanks to this scraper. EZIE can now directly contact the potential sellers and broaden their client base with the scraped data. Web scraping saved a lot of time, money, and effort for all the parties involved by searching and analyzing every detail of the sellers. Given that the entire procedure is automated, this method also produced accurate data, which also makes it more reliable.

This web scraping service can be extended to any website or application. If you want to gather such information from any online business or website, just let us know and we’ll be happy to assist.

Why to use our web scraping service?

1. To enable dynamic pricing models in real-time, compare the costs of comparable items across all competitors.
2. Utilize competitive knowledge and expertise to completely transform your pricing approach.
3. Find the list price, selling price, and discount for every product at each rival’s current price.
4. For every SKU, find the exact match, and keep an eye on price changes. Chart each product’s price evolution.
5. Be informed of fresh discounts and offers.
6. Set the appropriate pricing for each SKU that is neither too high nor too cheap and applies to all channels and times.
7. Utilize real-time matching and product discovery to maximise your inventory.
8. Keep up with your own precise product profiles.
9. Find new markets for your items or categories.
10. Know as soon as your suppliers launch a new brand line so you can instantly add the SKUs to your website.
11. Extract all product information and gain access to the competitor’s product catalogue and inventory status
12. Measure consumers ’ opinions
13. Recognize changes in customer demand and rapidly pinpoint products that are becoming more or less popular with consumers.
14. Find out which products and sectors are popular in each country.
15. Verify design, variety, and merchandising choices to make sure the commercial offer is appropriate.
16. Recognize the obstacles potential clients confront by understanding their path.
17. Concentrate your marketing initiatives on top sales.

The challenge

The client wanted the list of courses provided by various universities containing information such as course code, department code, and course name.

The Solution

Most universities have a web interface or an online catalog for the students to check the information of all the courses. We took advantage of this interface/online catalog and scraped the catalogs of various universities to deliver the required content to the client.

The whole catalog of any university can be exported to a CSV file within a few minutes at the click of a button.

Advantages

• A lot of time and human effort is saved through this bot.
• The process is fast, reliable, and cost-friendly.

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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