GrabzIt can be used to capture web pages and HTML. The data in web pages as well as the metadata about web pages!!
To do this we created a Screenshot Tool and Capture API that can convert any URL or HTML snippet into a image, rendered HTML, DOCX or PDF document. Services were also provided to convert online videos into animated GIF’s and to extract and convert HTML tables from web pages into a useful data format. To make this functionality even easier to use we created a series of plugins that can be easily added to blogs and websites with little or no coding knowledge.
Our Screenshot Tool can also be used for Web Archiving and to verify what a web page looked at a particular point in time using a time stamp server and file signatures.
Next, GrabzIt’s Web Scraper was created to make it possible to extract data and files from the web pages and PDF documents and transform it into a easy to use format such as a CSV or Database Export. The Web Scraper follow links in the web page like a normal user, however it uses multiple browser instances and IP addresses to speed up the web scraping process.
As our Web Scraper is integrated with our capture technology it can be used to crawl a website and convert every visited web page into a PDF or image for example. Additionally an API was added to the Web Scraper to allow it to be controlled by third party applications and to enable the integration of scrape results directly into an app.
Finally, we have made it possible to analyse the performance of websites and monitor this performance over time.
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Website | webhose.io |
Pricing URL | - |
Details $ | |
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Website | grabz.it |
Pricing URL | Official GrabzIt Pricing |
Details $ | freemium $1.99 / Monthly |
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Release Date | 2012-04-01 |
Based on our record, Webhose.io seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this article, we discuss a state of the art NLP pipeline that enables the grouping of randomly selected articles from www.amazon.com into relevant topics. We use webhose.io for data ingestion, IBM Watson developer cloud for named entity recognition, MongoDB for storage and a Flask app to display the results. To read full article visit:... Source: 7 months ago
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