Connect Bilarna API to Google Sheets for Vendor Data

What is "Use Bilarna API Google Sheets"?

"Use Bilarna API Google Sheets" refers to the practice of connecting the Bilarna marketplace's application programming interface (API) to Google Sheets. This allows you to automatically import data about software and service providers directly into a spreadsheet for analysis, reporting, and workflow integration. It turns a static vendor search into a dynamic, data-driven sourcing and research tool.

Businesses often struggle with fragmented, manual research processes that are time-consuming, prone to error, and difficult to share across teams. Manually copying provider details from a website into a spreadsheet is inefficient and instantly creates stale data.

API (Application Programming Interface) — A set of rules that allows different software applications to communicate with each other. The Bilarna API lets your tools request specific data from the marketplace.
API Endpoint — A specific URL your request is sent to, each designed to return a particular type of data, such as a list of providers or detailed company profiles.
API Key — A unique code used to authenticate your requests to the Bilarna API, ensuring secure and authorized access to data.
Google Apps Script — A JavaScript-based platform that lets you extend Google Sheets (and other Workspace apps) with custom functionality, such as calling an API.
JSON (JavaScript Object Notation) — The standard data format returned by most modern APIs, including Bilarna's. It structures data in a way that is easy for machines to parse.
Data Parsing — The process of extracting specific pieces of information (like company name, category, or location) from the structured JSON data returned by the API.
Automated Refresh — Setting up your Google Sheet to periodically call the API and update its data, ensuring you always work with the latest provider information.
Vendor Comparison Matrix — A custom-built spreadsheet where API data populates rows and columns, allowing for side-by-side evaluation of providers based on your chosen criteria.

This approach benefits founders, product managers, and procurement leads who need to systematically evaluate options, maintain a living shortlist, or integrate vendor discovery into their existing operational workflows without constant manual upkeep.

In short: It is a method to automate the flow of verified vendor data from the Bilarna marketplace into Google Sheets for efficient analysis and decision-making.

Why it matters for businesses

Ignoring this integration capability forces teams back into manual processes, which leads to slower decisions based on outdated information, increased risk of human error, and inefficient use of skilled personnel's time.

Wasted time on manual updates → Automating data import saves hours per week previously spent copying and pasting information, allowing teams to focus on analysis and strategy.
Decisions based on stale data → Automated API calls ensure your comparison sheets reflect the current marketplace, including new providers, updated service details, or changed compliance statuses.
Inconsistent evaluation criteria → By pulling data via API into a standardized sheet, you ensure every provider is assessed against the same set of fields (e.g., pricing model, supported regions, key features), enabling fair comparisons.
Poor visibility and collaboration → A central, auto-updating Google Sheet serves as a single source of truth that can be easily shared and commented on by stakeholders across finance, technical, and procurement teams.
Missed opportunities → Manual searches are limited by human bandwidth. An automated sheet can be configured to periodically search for providers matching new or evolving criteria, surfacing relevant options you might have otherwise overlooked.
Difficulty in scaling vendor research → As a company grows and needs more software or services, manual vetting becomes a bottleneck. API-driven sheets scale effortlessly to handle hundreds of potential providers.
Lack of audit trail → A spreadsheet log showing when data was pulled from the API creates a transparent record of your sourcing process, which is valuable for compliance and internal reviews.
Ineffective budget planning → Automated aggregation of pricing information and service tiers into one sheet provides clearer data for forecasting and cost analysis.

In short: It transforms vendor sourcing from a reactive, administrative task into a proactive, data-driven business process that saves time, reduces risk, and improves decision quality.

Step-by-step guide

Setting up an API integration can seem daunting, but breaking it into clear steps removes the confusion and leads to a reliable, automated data pipeline.

Step 1: Define your data requirements

The obstacle is requesting too much irrelevant data or missing a critical field. Before touching the API, determine exactly what information you need for your decision matrix. Review provider profiles on Bilarna to identify key data points.

List required fields (e.g., company name, category, summary, location, verified status).
List optional but valuable fields (e.g., founding year, employee range, specific certifications).
Define your filter criteria (e.g., only providers in the EU, only those in a specific software category).

Step 2: Obtain and secure your Bilarna API access

The risk is exposing sensitive API credentials. You need authorized access. Visit the Bilarna developer portal or contact their support to request API access. You will receive an API key.

How to verify: Store the API key securely, never in plain text within your sheet's code. Use Google Apps Script's Properties Service to encrypt and store it as a script property.

Step 3: Explore the API documentation

Without understanding the API's structure, you cannot request data correctly. Thoroughly review the official Bilarna API documentation. Identify the correct endpoint for your goal (e.g., /providers for a list) and understand the required and optional parameters for filtering.

Test endpoint calls using a simple tool like Postman or directly in your browser (for GET requests) to see the raw JSON response structure.

Step 4: Set up your Google Sheet and open the script editor

The obstacle is not having a structured place for the data to land. Create a new Google Sheet. Define clear headers in the first row that match the data points you plan to extract (e.g., "Provider Name," "Category," "Country").

Then, open the script editor from the Extensions menu. This is where you will write the code to connect to the Bilarna API.

Step 5: Write the API call function in Apps Script

The core challenge is crafting the correct HTTP request and handling the response. In the script editor, write a function that uses the UrlFetchApp service. This function will construct the request URL with your endpoint and parameters, include your API key in the request headers for authentication, and send the request.

Quick test: Start by writing a simple function to log the API response. Use Logger.log() to print the JSON response in the script editor's log, confirming the connection works.

Step 6: Parse the JSON response and write data to sheets

Raw JSON data is not useful in a sheet. Your script must extract the relevant values. Write code to parse the JSON response object. Loop through the returned data array (e.g., the list of providers). For each item, extract the values corresponding to your sheet headers and write them into the appropriate cells using the SpreadsheetApp service.

Step 7: Create a menu trigger or time-driven trigger

Manually running the script defeats the purpose of automation. Create a custom menu in your Google Sheet for one-click updates, or set up a time-driven trigger (e.g., weekly) to refresh the data automatically.

Configure triggers carefully from the Apps Script editor to avoid exceeding API rate limits with too-frequent calls.

Step 8: Implement error handling and logging

API calls can fail due to network issues, invalid keys, or changes in the API. Your script will break without warning. Add basic error handling (try...catch blocks) to manage failed requests. Include simple logging in a dedicated sheet tab to record when data was last successfully fetched or if an error occurred.

Step 9: Share and collaborate with stakeholders

The final obstacle is siloed information. With data flowing in automatically, share the sheet with relevant team members. Use Google Sheets' comment and notification features to discuss specific providers directly within the context of the data.

Set appropriate edit/view permissions to protect the underlying script and data structure.

In short: The process involves planning your data needs, securing API access, writing a script to fetch and parse data, and finally automating and sharing the updated spreadsheet.

Common mistakes and red flags

These pitfalls are common because users focus on getting the integration to work initially but neglect long-term stability, security, and data quality.

Hardcoding the API key in the script → This exposes your credentials if you share the script. It causes a security risk. Fix: Use the Properties Service (ScriptProperties) to store the key securely.
Ignoring API rate limits → Making too many requests too quickly will get your access temporarily blocked. It causes your automation to fail unexpectedly. Fix: Check the API documentation for rate limits and build delays between calls if processing many providers.
Not planning for schema changes → APIs can update, changing field names or response structures. It causes your parsing code to break, returning empty or incorrect data. Fix: Write your parsing logic defensively, check for the existence of fields, and monitor the API changelog if available.
Building an overly complex sheet at once → Trying to import every possible data field in the first attempt leads to confusing code and sheets. It causes maintenance headaches. Fix: Start with 5-10 critical fields, get the pipeline working, then iteratively add more.
Lacking error handling → Assuming the API will always respond successfully. It causes silent failures where your data becomes stale without warning. Fix: Implement try...catch blocks and simple logging to a "Log" sheet to track the health of your updates.
Forgetting about data freshness → Setting a refresh trigger for daily updates when weekly is sufficient. It causes unnecessary load on the API and your sheet. Fix: Align the automation trigger with your actual decision-making cadence (e.g., weekly for ongoing research, monthly for a stable vendor list).
Not validating data upon import → Blindly writing all API data to your sheet. It can introduce formatting issues or irrelevant entries. Fix: Add basic checks in your script, like ensuring required fields are not empty or filtering out providers that don't meet your core criteria before writing to the sheet.
Sharing edit access too broadly → Letting team members directly edit the sheet's structure or script. It can corrupt the data pipeline. Fix: Share the sheet with "View" or "Comment" access for most users, reserving edit rights for the maintainer.

In short: Successful integration requires attention to security, API etiquette, code robustness, and access controls, not just initial functionality.

Tools and resources

Choosing the right auxiliary tools can simplify development, testing, and maintenance of your API-to-Sheets integration.

API Testing Clients (e.g., Postman, Insomnia) — Use these to manually send requests to the Bilarna API before writing any code. They help you understand the response format, test filters, and verify your API key works.
Google Apps Script Documentation — The official reference is essential for learning how to use UrlFetchApp, SpreadsheetApp, and the Properties Service. It solves the problem of not knowing the available functions and their syntax.
JSON Validator and Formatter — Online tools or browser extensions that format raw JSON responses into a readable structure. They are crucial for visually parsing the complex data returned by the API during development.
Basic JavaScript Tutorials — Since Apps Script is based on JavaScript, a refresher on fundamentals like loops, arrays, objects, and error handling solves the problem of writing the core logic for data parsing.
Version Control (like Git) — While not directly integrated, using version control for your Apps Script code (by using the Clasp CLI tool) addresses the risk of losing working code after a broken edit, allowing you to revert changes.
Internal Documentation Template — A simple document or wiki page to record your setup: API endpoint used, field mappings, refresh schedule, and key contacts. This solves the "bus factor" problem, ensuring others can manage the integration if you are unavailable.

In short: Leverage API testers, official documentation, data format tools, and basic coding resources to build and maintain a robust integration.

How Bilarna can help

The core frustration is efficiently finding and vetting trustworthy software and service providers from a vast, fragmented market.

Bilarna is an AI-powered B2B marketplace that aggregates and verifies providers. For teams using the API with Google Sheets, Bilarna serves as a centralized, reliable data source. Instead of scraping multiple unreliable websites, you pull structured, consistent data from a single, maintained platform.

The platform's verification program checks provider credentials, which adds a layer of trust to the data you import into your analysis. The AI-powered matching helps ensure the API can return providers relevant to your specific search criteria, making your automated data pulls more targeted and useful.

Frequently asked questions

Q: Is the data from the Bilarna API compliant with GDPR for use in our company?

The Bilarna API provides data about business service providers (B2B data). The legal basis for processing such data is typically legitimate interest under GDPR. However, you are responsible for your own data processing activities. Ensure your use of the data in Google Sheets complies with your company's data policies, especially regarding storage, access, and retention. Always consult your legal or compliance team for definitive guidance.

Q: How real-time is the data provided by the API?

API data reflects the current state of the Bilarna marketplace database at the moment of your request. Provider information is updated by the providers themselves and validated by Bilarna, but it is not live-streamed. For most sourcing purposes, daily or weekly updates are sufficiently fresh. Check the API documentation for specific information on data refresh cycles.

Q: Can I use this method without knowing how to code?

A fully custom integration requires writing Google Apps Script code. However, you can use intermediary "no-code" automation platforms like Zapier or Make (formerly Integromat). These tools can connect APIs to Google Sheets with a visual interface. The limitation is that they may not support all the specific filters or complex data parsing that custom code allows, and they often have monthly record limits.

Q: What happens if the Bilarna API changes or goes offline?

Like any external service, APIs can undergo updates or experience downtime. A well-built integration anticipates this. Your script should handle HTTP errors gracefully. Subscribe to Bilarna's developer notifications if available to be alerted to planned changes. Your logging system should alert you to repeated failures, prompting you to check the service status or documentation for changes.

Q: Can we pull pricing data directly via the API for cost comparison?

This depends entirely on the data fields the Bilarna API exposes. Pricing information can be complex, with custom quotes, tiered plans, and negotiable rates. The API may provide list prices, pricing models (e.g., subscription, one-time), or high-level tiers. Review the specific API endpoint documentation for available pricing-related fields. For detailed quotes, direct contact with the provider is often still necessary.

Q: How do we handle the volume if the API returns hundreds of providers?

Your script needs to manage pagination. Most APIs do not return all results in one response but use a system of "pages." Your code must check the response for a total page count or a "next page" token and make subsequent requests to retrieve all data. Failing to handle pagination will result in an incomplete dataset. The Bilarna API documentation will specify its pagination method.