Have you ever needed to analyze web data as if you were in another country? Often, this is difficult, because some websites serve different content based on the IP address of the user. Import.io country-based extractors solve this dilemma by enabling you to extract data as if you are located in the countries you choose. Import.io customers have asked for this feature and we delivered. Here are some of the ways they are using country-based extractors.
- Global companies extract pricing and product data as if in each country.
- Equity researchers get country-based data for investment recommendations.
- Media producers pull accurate data on rankings and purchases from any location.
- Manufacturers monitor minimum advertised price from any location where their products are sold.
So, how does it work? Here’s an example.
Country-based Extractors Tutorial
In this example, we are a travel expert booking cruises for our guests who are located in the US, UK, and France. We want to track cruise pricing and monitor for the lowest prices online, but we need to see the pricing as if we are located in the same countries as our customers.
With Import.io, it’s easy to get cruise pricing in dollars from the US. That is the default setting. In order to get British Pounds and Euros though, we just need to add a step.
Here’s one of the websites we monitor, SilverSea.
Once we have the URLs of cruises we are tracking for customers, we copy and paste it into Import.io. Then, instead of clicking go, we just add the step of choosing what country we want to mimic, such as the UK.
Success, we now have our table of UK pricing as if we were sitting in the UK.
Now, we’ll do the same for France to get Euro pricing.
Bam! Euro pricing, as if we are sitting in France, is now available to extract.
Now, we have three data sets of pricing to compare, including US pricing.
We can set up change reports to monitor this pricing daily and find out when cruises go on sale online, so we have more leverage in getting the best prices for our clients. We can also add as many pages as the cruises span on the website to these extractors.
Our next step may be to transform the data in order to compare it in a visualization or chart, using Import.io Insights.
In this example, we want to remove the Pound symbol and decimal from the pricing. It’s easy with the Substitute function in Transform.
We end up with a clean column of numbers that we can use in visualizations and charts.