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Be sure to watch the intro movie they provide to get an idea of how the tool works and some simple ways to extract the data you want. Try installing the free version on Chrome, and have a play around with extracting data. We’re impressed with Data Scraper, even though its public recipes are sometimes slightly rough-around-the-edges.

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It gives you ownership of the data – which could be taken offline or changed at any moment.You could keep referring back to this list and easily find what you’re looking for, whereas Twitter continuously updates.It could be used to help create a database of press contacts.Having this data in this format would be more useful to a PR rep than simply seeing the data in Twitter’s browser view for a number of reasons:

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Here’s a flavour of the data we got back:Īs you can see, the tool has provided a table with the username of every account which had posted recently on the hashtag, plus their tweet and its URL We tried Data Scraper out by mining a Twitter hashtag, “#jourorequest”, for PR opportunities, using one of the tool’s public recipes. This tool works especially well with popular data scraping sources like Twitter and Wikipedia, as the plugin includes a greater variety of recipe options for such sites. Here are our thoughts on a few of the most popular data scraping tools on the market:ĭata Scraper slots straight into your Chrome browser extensions, allowing you to choose from a range of ready-made data scraping “recipes” to extract data from whichever web page is loaded in your browser. However, if you intend to use data regularly scraping in your work, you may find a dedicated data scraping tool more effective. Getting to grips with using dynamic web queries in Excel is a useful way to gain an understanding of data scraping. To configure how regularly your dynamic web query updates the data it imports, go to ‘Data’, then ‘Properties’, then select a frequency (“Refresh every X minutes”). The great thing about dynamic web queries is that they don’t just import data into your spreadsheet as a one-off operation – they feed it in, meaning the spreadsheet is regularly updated with the latest version of the data, as it appears on the source website.

If you’ve followed these steps, you should now be able to see the data from the website set out in your spreadsheet.

Click ‘OK’ (or change the cell selection, if you like).

Click the yellow arrow next to the data you wish to import.

Paste the URL of the web page you want to import data from into the address bar (we recommend choosing a site where data is shown in tables).

Note the little yellow arrows that appear to the top-left of web page and alongside certain content.

Click the cell you want to import data into.

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Watch this excellent tutorial video to learn how to import data from the web to Excel – or, if you prefer, use the written instructions below:

Setting up a dynamic web query in Microsoft Excel is an easy, versatile data scraping method that enables you to set up a data feed from an external website (or multiple websites) into a spreadsheet.

Let’s go through how to set up a simple data scraping action using Excel.ĭata Scraping with dynamic web queries in Microsoft Excel The basics of data scraping are relatively easy to master. Data scraping has a vast number of applications – it’s useful in just about any case where data needs to be moved from one place to another. Google Shopping)Īnd that list’s just scratching the surface. Sending product data from an e-commerce site to another online vendor (e.g.Finding sales leads/conducting market research by crawling public data sources (e.g.Pricing for travel booker sites/price comparison sites.Research for web content/business intelligence.It’s one of the most efficient ways to get data from the web, and in some cases to channel that data to another website. Data scraping, also known as web scraping, is the process of importing information from a website into a spreadsheet or local file saved on your computer.

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