Crawly
Automatically extracts and organizes data from websites easily.
Crawly is a powerful data extraction solution that automatically collects structured information from various websites. By simply providing a URL, users receive organized content that includes article titles, images, and publication dates.
This functionality is particularly beneficial for anyone looking to gather data without needing coding skills.
The collected data can be easily downloaded in formats like CSV or JSON, making it convenient for further analysis. Crawly streamlines the process of data collection, allowing users to quickly access information for research, competitive analysis, or academic studies.
With its user-friendly interface, this product makes data extraction accessible for everyone.
- Extract product information from e-commerce sites
- Gather news articles for research
- Compile competitor analysis data
- Monitor changes on specific web pages
- Create archives of web content
- Analyze social media trends
- Collect data for academic studies
- Automate job postings extraction
- Generate leads from online listings
- Summarize online reviews for products
- Automates data extraction from websites
- User-friendly interface for easy navigation
- Supports multiple data formats for download
- Saves time and effort in data gathering
- Suitable for users with no coding experience
Smart data management to enhance decision-making and efficiency.
Connects multiple data sources to spreadsheets effortlessly.
Effortlessly extract web data without coding skills.
Automate online data collection with customizable intelligent agents.
Instant calculations and unit conversions in your browser.
Smart assistant for effortless spreadsheet management using AI.
Automated web data collection and content generation.
Effortlessly scrape structured data from any website.
Product info
- About pricing: No pricing info
- Main task: User input
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Target Audience
Data analysts Content creators Market researchers SEO specialists Business intelligence professionals