Ai Agent for Scaling INTL web scraping

Automating data scraping for opportunities posted on FundsforNGOs
1,000+
data points scraped per day
95%
accuracy in matching relevant grants
100%
reduction in manual grant searching

What was the goal?

Scaling INTL aimed to create a product for their client base that could automatically find and present grant opportunities from a website called Funds for NGOs. Their clients needed a system to filter and display only the grants that met specific criteria, saving time and improving their ability to focus on relevant opportunities. The challenge was to automate the entire process—from scraping new grant listings to organizing them in a user-friendly database.

They sought the expertise of Boom Automations to develop a custom Ai Agent and streamline the client experience.

Solution:

Our team developed a multi-step solution that streamlined the process of finding and organizing grant opportunities:

  1. Web Scraper AI Agent: We built a custom AI-powered web scraping agent designed to automatically scan the Funds for NGOs website for new grant listings. This agent would continuously monitor the site, ensuring that no new opportunities were missed.
  2. Data Integration with Airtable: Once the grant opportunities were scraped, we sent the data via APIs and webhooks to an Airtable database, which we built to act as the central repository for all new grant data. Each grant was tagged with key information such as eligibility criteria, deadlines, and funding amounts.
  3. Data Organization and Filtering: The data was then organized within Airtable, where it was filtered based on predefined client criteria. This ensured that each client could only access grants that were relevant to their specific needs and qualifications.
  4. Client Access: Finally, we developed an intuitive user interface that allowed clients to log in and view only the grant opportunities that met their unique requirements. This gave them real-time access to relevant funding opportunities without needing to sift through unrelated grants.

Results:

The automated solution significantly enhanced the grant discovery process for Scaling International’s clients, providing them with a tool that was not only accurate but also efficient. The key outcomes include:

  1. Real-time grant monitoring and updates: Clients no longer had to manually search for new grant opportunities, as the web scraper agent continuously updated the database with new listings.
  2. Customized access to relevant grants: By organizing the data based on client-specific filters, we ensured that clients only saw the opportunities that aligned with their needs, greatly improving their focus and efficiency.
  3. Improved grant application success rates: Clients reported being able to apply for more relevant grants in a shorter period, improving their chances of securing funding.

Summing up

Scaling International’s need for an automated grant discovery tool led to the creation of a sophisticated AI web scraper system. The solution scraped new opportunities from Funds for NGOs, stored the data in Airtable, and provided clients with customized access to the grants most relevant to them. The automated system not only saved time but also increased clients’ efficiency in identifying and applying for high-value funding opportunities.

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