Findyello Scraper

Detail

BrowserAct Findyello Scraper is a powerful, no-code tool that automates scraping Findyello for business listings, store titles, descriptions, addresses, and more to easily analyze local directories, allowing you to scrape Findyello effortlessly without manual effort. It solves the exhaustion of manually compiling data from countless pages, enabling marketers, researchers, lead generators, and analysts to uncover business insights, build contact databases, and gain a competitive edge through automated Findyello data extraction.

(Note: Findyello is a comprehensive online yellow pages directory focused on Caribbean businesses, providing listings with details like addresses and phone numbers—making it invaluable for local market research, B2B outreach, and regional analysis.

Please be aware that Findyello's website may experience instability, such as 502 errors, which are inherent to the site itself and not caused by the scraper; we recommend retrying runs during off-peak hours or using proxies if issues occur, and BrowserAct is not responsible for site-related downtime.)

Purpose of Findyello Scraper

Key Benefits of Using Findyello Scraper

This Findyello data scraper helps you automate data collection to make smarter decisions. Here's what it delivers:

Streamline Tracking: Streamline tracking of business listings, addresses, and contacts without manual work, saving hours of effort.
Uncover Insights: Uncover local market trends and opportunities by extracting structured data like store descriptions and phone numbers.
Gain Competitive Edge: Gain a competitive edge through AI-driven insights, including field suggestions for categories or regions not available in other tools.
Enable Analysis: Enable precise lead generation and market mapping with customizable data extraction.
Boost Efficiency: Boost research and outreach by turning raw Findyello data into actionable reports and strategies.

Who Should Use This Findyello Scraper?

Marketers: Perfect for building B2B contact lists, tracking local businesses, and supporting campaigns.
Researchers: Ideal for analyzing regional directories, business trends, and market data.
Lead Generators: Great for extracting verified addresses and phone numbers for outreach.
Analysts: Useful for bulk data extraction to support competitive intelligence and insights.
Skill Requirements: No coding needed – just basic knowledge of web browsing to set up and run.
Usage Scenarios: Use it for daily business checks, contact databases, market reports, or generating insights for business growth.

Findyello Scraper Inputs, Outputs, and Capabilities

Input Parameters for Effective Findyello Scraping

Detailed explanation of required input parameters, presented in a table for clarity:

Parameter	Required	Description	Example Value
Country	Yes	The country to filter listings by (e.g., "Bahamas" for Caribbean focus).	"Barbados"
Keyword	Yes	The search term for businesses or categories.	"Duty Free Shops"
Data_Limit	Yes	The maximum number of listings to scrape in one run.	"20"

These parameters allow for reusable setups and quick adjustments, making your Findyello scraper workflow adaptable to different tasks.

Output Data from Scraping Findyello

Explanation of the workflow's output data format and content:

Data fields include:

Store Title: Captures the business name as displayed for easy identification.
Store Description: Records the description shown below the title for business details.
Address: Provides the full address for location mapping.
Phone: Extracts the phone number for direct contact.

If you want more output data (e.g., additional fields like emails or websites), you can customize the workflow to include them.

Output supported formats: JSON, CSV, Excel, XML, ideal for easy download and integration after you scrape Findyello.

Scope and Limitations of the Findyello Scraper

Supported Websites/Platforms: Specifically designed for Findyello directory, supporting search results, category pages, and business listings to scrape Findyello.
Data Types: Structured business data, including titles, descriptions, addresses, and phone numbers via a Findyello data scraper.
Data Scale: Suitable for small-scale (hundreds of listings) to large-scale (thousands) Findyello scraping, depending on credit usage.

How to Build Your Findyello Scraper Workflow: Step-by-Step

Step 1: Parameter Setup

Country: The country to select (default: "Barbados").
Keyword: Search term (default: "Duty Free Shops").
Data_Limit: Maximum listings to scrape (default: "20").

Input Parameters:

country: "Bahamas"
keyword: "Duty Free Shops"
data_limit: 20

Use default values for quick runs, such as keeping Country as "Barbados" for testing without manual changes.

Step 2: Search & Navigation

Visit Page Prompt: Visit https://www.findyello.com/
Click Element (Country Selector) Prompt: Click the country selector button to the left of the search button (the one that defaults to “Jamaica”).
Click Element (Select Country) Prompt: Click the country option labeled /Country to select that country.
Input Text Prompt: Input /Keyword in the search bar
Click Element (Search) Prompt: Click the search button

If you encounter click errors during workflow execution, please try:
- Replace Visit Prompt: Replacing the Visit page prompt with "Visit the URL template https://www.findyello.com/{location}/{keyword}/. Replace {location} with the value from /Country. Replace {keyword} with the value from /Keyword. The final URL should look like https://www.findyello.com/barbados/duty-free-shops (this is an example using /Country = Barbados and /Keyword = Duty Free Shops.)"
- Delete Subsequent Actions within This Step: Delete the subsequent click and input actions within this step to directly access the results page. Keep the next steps unchanged.

Step 3: Loop and Collect Data

Loop Action: Continue until /Data_Limit items are collected.
- Scroll Prompt: Scroll to the bottom of the page
- Extract Data: Extract from all items on the current page: Store title, Store Description (the description shown below the title), Address, Phone. Missing data as "N/A".
- Pagination: Select next page

Step 4: Data Export

Output Setup: Add "Finish: Output Data" action, select CSV format, and enable "Output as a file" for direct download.

Publish and Run: Click "Publish" to save, then go to "Run" section, adjust parameters if needed, and click "Start".
Download Results: Once complete, download the CSV file with your scraped Findyello data.

Quick Start Guide: How to Use Findyello Scraper in One Click

If you don't want to build the workflow from scratch, simply use our pre-built "Findyello Scraper" template for instant setup and start scraping Findyello effortlessly.

Step 1: Register Account

Create a free BrowserAct account using your email.

Step 2: Configure Parameters

Fill in necessary inputs like Country (e.g., "Barbados"), Keyword (e.g., "Duty Free Shops"), and Data_Limit (e.g., "20") – or use defaults to learn how to scrape Findyello quickly.

Step 3: Start Execution

Click "Start" to run the workflow.

Step 4: Download Data

Once complete, download the results file from scraping Findyello.

Common Scenarios for Using Findyello Scraper

Business Use Cases for Scraping Findyello Data

Lead Generation: Use the Findyello scraper to build B2B contact databases with addresses and phone numbers.
Market Analysis: Scrape Findyello for regional business trends and mappings.
Competitor Research: Extract listings to analyze local markets and opportunities.
Outreach Campaigns: Gather verified details for targeted marketing and sales.

Technical Integrations for Advanced Findyello Scraping

API Calls: Integrate via API into third-party automation platforms like Make or n8n for seamless Findyello scraping.
Scheduled Tasks: Set up regular runs to automate reports on how to scrape Findyello.
Data Pipelines: Connect with analysis tools (e.g., Google Sheets or BI software) for ongoing data flow.