Scraperr
S
Scraperr
Overview :
Scraperr is a self-hosted web data scraping tool that allows users to scrape elements from web pages by specifying XPath. Users can submit URLs and corresponding elements for scraping, with results displayed in a tabular format and available for download as Excel files. Key advantages of this tool include its user-friendly interface, flexible XPath selectors, batch processing capabilities, and support for AI technologies. Scraperr is suitable for users who need to extract large amounts of data from the web, including researchers, developers, and marketers.
Target Users :
The target audience includes researchers, developers, and marketers who need to extract data from web pages. Scraperr is an ideal solution for them as it provides a user-friendly interface and powerful XPath selectors, making data scraping straightforward and efficient. Furthermore, the integrated AI functionality allows users to directly utilize the scraped data in conversational systems, enhancing the tool's practicality.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 52.4K
Use Cases
Researchers use Scraperr to scrape paper information from academic journal websites
Developers leverage Scraperr to extract API documentation from technical documentation sites
Marketers utilize Scraperr to collect product information from competitors
Features
Submit/queue URLs for web scraping
Use XPath to add and manage elements to scrape
Scrape all pages within the same domain
Add custom JSON headers to send requests to URLs
View the results of scraped data
Download results in a CSV file
Rerun jobs
Check the status of queued jobs
Bookmark and view favorite jobs
User login/register options for job organization (optional)
View application logs within the Web UI
Access statistical views of job runs
AI integration to incorporate results of selected jobs into conversational contexts
How to Use
1. Open the Scraperr application in your browser
2. Enter the URL you want to scrape in the URL field
3. Specify the elements to be scraped and provide the corresponding XPath
4. Click the 'Submit' button to add the URL to the scraping queue
5. View the queue in the 'Previous Jobs' section
6. Download the job results as an Excel file from the table
7. If needed, rerun the job or check the job status
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