Bolt Scraper vs Dividend Data
Side-by-side comparison to help you choose the right tool.
Bolt Scraper
Unlock unlimited B2B leads from Google Maps and Facebook effortlessly with Bolt Scraper's powerful web scraping tools.
Last updated: February 28, 2026
Dividend Data
Stop copying stock data manually and instantly pull dividends, prices, and financials directly into your spreadsheets.
Last updated: March 11, 2026
Visual Comparison
Bolt Scraper

Dividend Data

Feature Comparison
Bolt Scraper
Google Maps Scraper
The Google Maps Scraper from Bolt Scraper enables users to effortlessly gather business leads from Google Maps. This feature boasts powerful data extraction capabilities, allowing users to quickly accumulate the necessary information for business growth. It simplifies the lead generation process, saving you time and resources.
Facebook Pages Scraper
With the Facebook Pages Scraper, extracting business leads has never been easier. This feature allows users to efficiently gather contact information from Facebook Pages, ensuring that you have the data needed to expand your reach and grow your business. Its intuitive design makes it accessible for everyone.
Yellow Pages Scraper
The Yellow Pages Scraper is a completely free tool that allows users to extract valuable business information from Yellow Pages in both the USA and Canada. It is designed specifically for professionals, marketers, and researchers who rely on reliable business data to inform their strategies and decisions.
Email Extractor
Bolt Scraper's Email Extractor tool is an advanced feature that enables users to find verified email addresses from any website. This tool is perfect for email marketing campaigns and lead generation efforts, ensuring you can identify contact emails, business emails, and personal emails with high accuracy.
Dividend Data
Extensive Spreadsheet Functions
Dividend Data provides 16 custom, intuitive functions that cover virtually every data point a serious investor needs. From DIVIDENDDATA_DIVIDENDS to pull yield and payment dates, to DIVIDENDDATA_RATIOS for PE and debt ratios, and DIVIDENDDATA_METRICS for deep financials like EPS. These formulas act as direct conduits, turning your spreadsheet cells into live data feeds without any coding or complex setup required.
Deep Historical & Fundamental Data
The platform isn't just about today's price. It offers a profound depth of data, including over 30 years of historical price and dividend information. This allows for robust back-testing, long-term trend analysis, and calculating compound growth rates. You get access to complete financial statements, enabling full fundamental analysis on everything from revenue to free cash flow, all within your existing workflow.
Seamless Dual-Platform Integration
A major practical advantage is its native integration with both Google Sheets and Microsoft Excel. Whether your team uses the cloud-based collaboration of Sheets or the advanced power of desktop Excel, Dividend Data works flawlessly. The add-ins are officially listed on the Google Workspace and Microsoft AppSource marketplaces, ensuring security, easy installation, and automatic updates.
AI-Powered Research Assistant
Beyond spreadsheets, the Dividend Data Terminal web app includes a standout feature: the AI Analyst. This is like having a tireless research assistant. You can chat with it to get summaries of company performance, ask for comparisons between stocks, or request explanations of specific financial metrics, significantly speeding up the initial research and due diligence process.
Use Cases
Bolt Scraper
Lead Generation for Sales Teams
Sales teams can leverage Bolt Scraper to automate their lead generation efforts. By extracting contact information from various sources like Google Maps and Facebook, sales professionals can build a robust pipeline of potential clients, significantly increasing their outreach efficiency.
Market Research for Professionals
Professionals conducting market research can use Bolt Scraper to gather data on competitors, industry trends, and consumer behavior. By scraping valuable insights from multiple platforms, they can make informed decisions and strategize effectively to stay ahead in their respective markets.
Email Marketing Campaigns
Businesses looking to enhance their email marketing efforts can utilize the Email Extractor feature. By collecting verified email addresses from targeted websites, companies can create tailored campaigns that resonate with their audience, leading to higher engagement and conversion rates.
Data Enrichment for CRM Systems
Bolt Scraper can be used to enrich existing customer databases in CRM systems. By extracting additional contact information and leads from various online sources, businesses can maintain up-to-date records, allowing for more personalized marketing efforts and improved customer relationships.
Dividend Data
Building a Dynamic Dividend Dashboard
Create a master portfolio tracker that automatically updates. List your holdings in one column, and use Dividend Data formulas in adjacent columns to pull live data on current price, dividend yield, annual income, and ex-dividend dates. This creates a real-time view of your income stream and portfolio health that refreshes with a simple sheet recalculation.
Screening for Dividend Growth Stocks
Quickly build a custom stock screener directly in Excel or Sheets. Combine Dividend Data functions with native spreadsheet filters to scan for companies meeting specific criteria, such as a dividend yield above 3%, a payout ratio below 60%, and 10+ years of consecutive dividend growth. This turns your spreadsheet into a powerful discovery engine.
Conducting Deep Fundamental Analysis
When researching a single company, use the various functions to pull a complete set of financials into a structured model. Analyze trends in revenue, net income, debt-to-equity, and free cash flow over multiple years. This centralized approach is far more efficient than juggling multiple PDF reports or browser tabs.
Automated Financial Modeling
For investors who build discounted cash flow (DCF) or dividend discount models (DDM), Dividend Data automates the data input stage. Formulas can pull historical EPS growth, current dividend rates, and other vital inputs directly into your model's assumptions, ensuring your valuations are always based on the latest available data.
Overview
About Bolt Scraper
Bolt Scraper is an exceptional web scraping tool tailored for businesses eager to gather valuable leads and essential contact information from diverse online sources. With its sophisticated capabilities, users can efficiently extract data from platforms like Google Maps, Facebook, Yellow Pages, and many more. This tool is specifically designed for marketers, sales teams, and researchers who require accurate, real-time data to enhance their lead generation strategies and ultimately drive business growth. One of Bolt Scraper's main value propositions lies in its user-friendly interface and robust features that allow users to generate unlimited leads for a one-time payment. This makes it a cost-effective choice in a competitive market. By automating the data extraction process, Bolt Scraper not only saves users substantial time and effort but also allows them to concentrate on converting leads into loyal customers, making it an indispensable asset for any data-driven business.
About Dividend Data
Dividend Data is a game-changer for any investor who lives in spreadsheets. Forget about clunky APIs, expensive data terminals, or the soul-crushing tedium of manual copy-pasting from financial websites. This tool brings institutional-grade stock market data directly into your native environment: Google Sheets and Microsoft Excel. With over 30 years of historical data for more than 80,000 tickers, it transforms your spreadsheet into a powerful, live-updating research terminal. The magic lies in its simplicity—you just type a plain-English custom formula like =DIVIDENDDATA_DIVIDENDS("MSFT"), and instantly, the forward annual dividend, yield, or the next ex-date appears. Built by a dividend investor for dividend investors, its core focus is on the metrics that matter most for fundamental and income-focused analysis: dividends, payout ratios, growth rates, full financial statements, and key valuation ratios. What truly sets it apart is its generous, no-strings-attached free tier offering 2,500 monthly credits that never expire, making professional-grade data accessible to everyone. This is the tool for the self-directed investor who demands depth, reliability, and efficiency without the institutional price tag.
Frequently Asked Questions
Bolt Scraper FAQ
How does Bolt Scraper handle CAPTCHA?
Bolt Scraper includes an auto-solve CAPTCHA feature, ensuring that users can extract data seamlessly without interruptions. This feature saves time and enhances the overall scraping experience.
Is there a free version of Bolt Scraper?
Yes, Bolt Scraper offers a forever free version that allows users to access certain features while still enabling them to extract valuable leads and contact information without any cost.
Can I scrape multiple websites at once?
Absolutely! Bolt Scraper supports multi-keyword batch processing, enabling users to scrape data from multiple websites simultaneously. This feature significantly reduces the time spent on data collection.
What kind of support does Bolt Scraper provide?
Bolt Scraper offers dedicated 24/7 support to assist users with any issues they may encounter. The support team is committed to providing timely responses and ensuring a smooth experience for all users.
Dividend Data FAQ
Is there really a free plan that doesn't expire?
Yes, absolutely. This is one of Dividend Data's most user-friendly policies. The free plan offers 2,500 credits per month, and it does not expire or require a credit card to start. You can use it indefinitely for light to moderate analysis, which is perfect for tracking a personal portfolio or researching a handful of stocks each month.
How do the credits work?
Each cell you populate with a Dividend Data formula consumes one credit, regardless of the amount of historical data that function returns. For example, =DIVIDENDDATA_DIVIDENDS("AAPL", "fwd_yield") uses one credit to fetch that single data point. The 2,500 free credits reset monthly, providing a substantial amount of data for individual investors.
What's the difference between the Spreadsheet Add-in and the PRO Terminal?
The Spreadsheet Add-in is for getting data directly into Excel or Google Sheets. The PRO Terminal is a separate, powerful web application with advanced data visualizations, the AI Analyst chat feature, and automated portfolio tracking with linked broker accounts. They are complementary products; many users start with the spreadsheet tool and graduate to the Terminal for enhanced research.
How current is the data provided?
The data is highly current, with key metrics like stock prices updating near real-time. Fundamental data like earnings and financial statements are updated shortly after companies report, typically aligning with standard financial data providers. The average response time for a data pull is a swift 0.84 seconds.
Alternatives
Bolt Scraper Alternatives
Bolt Scraper is a robust web scraping tool designed to help businesses extract unlimited B2B leads from various online sources like Google Maps, Facebook, and Yellow Pages. As a versatile solution, it caters to marketers, sales teams, and researchers who need accurate data to support their growth and lead generation efforts. Users often seek alternatives due to varying needs such as pricing structures, specific features, or compatibility with different platforms. When choosing an alternative, it's essential to assess the tool's data extraction capabilities, user-friendliness, cost-effectiveness, and the range of sources it can scrape. A reliable alternative should also offer strong customer support and regular updates to ensure it meets evolving market demands.
Dividend Data Alternatives
Dividend Data is a specialized tool for investors, bringing decades of stock market data directly into spreadsheets. It falls into the category of financial data add-ons, designed specifically for those analyzing dividends and company fundamentals without needing to code. Users often look for alternatives for a few key reasons. Pricing is a major factor, as some services can be prohibitively expensive. Others might need different features, like real-time data or broader market coverage, or they may require a solution that works exclusively on one platform like Excel or through a dedicated API. When evaluating other options, focus on your core needs. Consider the depth and history of the dividend data, the total cost relative to your usage, and how seamlessly it integrates with your existing workflow in Sheets or Excel. The best tool is the one that delivers the specific metrics you need without complexity or hidden fees.