About
DataMiner is a user-friendly web scraping tool available as a Google Chrome and Microsoft Edge browser extension. It allows individuals and teams to extract structured data from virtually any webpage with a single click—no programming knowledge required. The tool comes pre-loaded with over 50,000 publicly available extraction queries covering more than 15,000 popular websites, including social media platforms, business directories, real estate sites, job boards, and more. Users can also create fully custom scraping recipes using the Easy Finder tool, which helps identify CSS selectors without touching code. DataMiner supports multi-page scraping with automatic pagination, bulk URL crawling, form-filling automation, table extraction via right-click, and downloading of images and page snapshots. Scraped data is exported cleanly to CSV or Microsoft Excel format for further analysis. Unlike traditional scraper bots, DataMiner operates directly inside the user's browser, behaving like a normal browser session, which helps avoid IP blocking. The tool never sells or shares user data, making it a privacy-conscious choice. DataMiner is particularly popular among marketers, researchers, sales professionals, and data analysts who need to collect large volumes of web data for competitive intelligence, lead generation, market research, or content aggregation without relying on developers.
Key Features
- 50,000+ Pre-Built Extraction Queries: Access a massive library of ready-to-use scraping recipes covering 15,000+ popular websites, enabling one-click data extraction with no setup required.
- Custom Recipe Builder: The Easy Finder tool lets users visually identify CSS selectors and create custom extraction recipes for any website—no coding needed.
- Multi-Page & Pagination Scraping: Automatically navigates through paginated search results and crawls multiple URLs in bulk, extracting data from every page seamlessly.
- CSV & Excel Export: All scraped data is automatically cleaned and exported to CSV or Microsoft Excel format for immediate use in analysis or reporting tools.
- Form Filling Automation: DataMiner can automatically fill web forms using data from a pre-loaded CSV file, enabling automated data entry and interaction workflows.
Use Cases
- A sales team uses DataMiner to scrape business contact information from directories like Yellow Pages and LinkedIn to build targeted lead lists for outreach campaigns.
- A real estate analyst extracts property listings, prices, and details from Zillow across multiple pages to conduct market trend analysis in Excel.
- A recruiter scrapes job postings from Indeed and other job boards to monitor competitor hiring activity and track industry talent demand.
- A digital marketer collects product names, prices, and reviews from e-commerce competitors to inform pricing strategy and product positioning.
- A researcher gathers large volumes of social media post data and public forum content for sentiment analysis and academic studies.
Pros
- No Coding Required: The intuitive interface and pre-built query library make DataMiner accessible to non-technical users who need data without developer help.
- Large Free Query Library: With over 50,000 free community-contributed recipes, most common scraping tasks are covered out of the box across thousands of popular sites.
- Privacy-First & Block-Resistant: Runs directly in the user's browser like a normal session, reducing the chance of being blocked, and never sells or shares user data.
Cons
- Browser-Only (Chrome & Edge): DataMiner is limited to Chrome and Edge browser extensions, making it unsuitable for server-side, headless, or large-scale automated scraping pipelines.
- Limited Scalability: For enterprise-scale data collection needs—millions of records or highly dynamic JavaScript-heavy sites—DataMiner may not be robust enough compared to dedicated scraping infrastructure.
- Manual Session Required: Since it operates within the user's browser, scraping jobs require an active browser session, which limits fully unattended or scheduled automation.
Frequently Asked Questions
Does DataMiner require coding knowledge?
No. DataMiner is designed for non-technical users. You can use pre-built recipes with one click or create custom ones using the visual Easy Finder tool that identifies CSS selectors automatically.
What websites can DataMiner scrape?
DataMiner can scrape virtually any public website. It includes pre-built recipes for popular sites like LinkedIn, Zillow, Yelp, Indeed, Yellow Pages, Zoominfo, and many social media platforms.
Is DataMiner free to use?
Yes, DataMiner is free to add to Chrome or Edge and comes with access to the full library of 50,000+ public extraction queries. Paid plans and custom services are available for advanced needs.
Will I get blocked while using DataMiner?
DataMiner operates directly in your own browser, mimicking normal user behavior rather than using external bots, which significantly reduces the risk of getting blocked by websites.
What formats can I export scraped data to?
DataMiner exports scraped data to CSV and Microsoft Excel (.xlsx) file formats. These can then be imported into tools like Google Sheets, databases, or BI platforms.
