Utilizing Python to send API requests to Google Directions

In the last post we talked about how to manually enter API requests into any browser and get a geoJSON file back that is readable in QGIS. In order to complete my project efficiently, I needed to find out how to pass these requests to the Google Direction API through Python so I could eventually pass in a large spreadsheet or database of origins and destinations and get back a series of files.

The first step in the process was to learn how to send a url request through python. I found directions on the google maps API website to preform a simple geocoding request, but when I passed it into python I got all sorts of errors! The code suggested by Google looks like this:

Screen Shot 2015-05-18 at 1.53.57 PM

After some quick googling I found that the urllib2 library isn’t in use for Python 3.0 and up. So I found that the replacement was urllib.request. Easy enough! I added that to the code, and included the print(jsongeocode) to the end and ta-da! it spits out the geoJSON response from the server that is now stored as a variable in Python for me. I modified the script so that it was sending a request to the directions API instead of the geocoding API simply by using the url example shown in my blog post below. Obviously I will want to refine this a bit more so that I can pass in the origin and destination as quick variables and have it generate the entire url from that. We will work on that in the next few blog posts. The basic code I made is located below for returning a route file from Edmonton to Calgary.

url="https://maps.googleapis.com/maps/api/directions/json?%s" % direction1

response = urllib.request.urlopen(url)
jsongeocode = response.read()



Using an API to get route files from Google and Open Street Map

The simple user interfaces I explained in my previous blog post work fine for typing in origins and destinations for a trip and exporting a GPX or KML file with the polyline information. Obviously if I want to create a database with hundreds or thousands of routes, I need to find out a way to do this more efficiently. To my satisfaction I found two API’s that will allow me to do this.

How Google Directions APIs work

The OSM YOURS and Google Directions APIs are actually quite simple in concept. Instead of typing in your route origin and destination into a website interface, you include your routing request in the text of a url, hit enter on your browser, and the API will return you some text or a file containing the routing directions. You can customize the response you get from the server by adding in flags to the url itself that are explained in the API documentation. For the purpose of brevity I’ll be focusing on the Google Directions API in this blog, but the OSM YOURS API offers similar capabilities with a gpx file output option instead of a geoJSON file.

Google Directions API and GeoJSON

The Google Directions API has options to return your routing results in XML or geoJSON format. For those unfamiliar with these file types, they are simply files that contain the route information coordinates in different formats. For this project, it is important that I can easily open the data in QGIS (an open source mapping software) to visualize how things look on a map and possibly edit my data. I chose geoJSON because it is easy to open in QGIS.

So how do you send an request to the Google Directions API and get back a geoJSON file? Its actually quite simple. Note that copying and pasting the link below into your browser gives you a file back with the route from Vancouver to Seattle. Note the origin=Vancouver and destination=Seattle text. Simple!


Now for a look at the geoJSON text file that we get in return. Thanks to Chris Whong’s NYC Taxi blog for explaining this in detail. All the information below is a brief summary of his excellent blog post.

A quick look at the geoJSON file we get back looks like this in our browser:

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The important part of the file is the overview polyline section. Which is near the bottom.
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See that complicated block of characters after “points”? That is actually an encoded string of points that makes up the entire route. I won’t be needing to decode this since I can load the geoJSON file directly into my database and mapping software, but Google does offer an interface to decode this. Simply copy and paste the code into the encoded poly lines window at this page, and you will get a preview of the route along with a list of the lat long coordinates that are strung together to create the line.
Great! Now I’ve cracked the basics of how to send an API request to Google and get my precious route linework in return. Next in the process I will have to figure out how to send these requests from Python on my desktop and get a response. After that I will need to automate the url generation so I can make large list of the url routing codes based on a spreadsheet of all my trip destinations. I think my next step after that will be to create some sort of database to store all my data for web hosting, or for utilizing in QGIS to make some nice looking static maps!

Routing Services – Google (My Maps) and Open Street Map (YOURS)

My first idea with this project was to simply type in routes I have travelled in Google maps and save all of this information within their web interface. I soon learned that the instantly available google maps does not offer an export option, and only allows for 10 stops along each route. Google’s My maps does however offer an export option for each route. Its fairly simple; after signing in to google.com/mymaps you can create a new map and input directions into that map.  You can record up to 10 stops on the route and then choose the Export To KML feature to get a KML file containing the line information in the route.

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It is also possible to export route information from Open Street Maps (OSM) data, though not directly from the open street map website. There are a number of OSM routing services listed here. The service I found to be most useful was http://yournavigation.org since it had an easy to work with GUI, and the ability to export to .gpx format easily.

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While these simple user faces are easy enough to operate and generate a polyline file output, I hope to develop a solution where I can compile a large spreadsheet or database of trips, each with a FROM and TO column that I can pass to a routing service automatically and get a series of files in return. This will save huge amounts of time typing in locations and exporting each file manually.

Starting the Journey

I’ve always loved to revisit routes and paths in my memory. Recreating in my mind the roads I’ve travelled and trails I’ve walked helps fill out my personal narrative and provide me with a healthy dose of nostalgia. I think its impressive that the human body is so capable of transporting itself through space often at very high speeds. We are fairly unaffected by this rapid movement, and it is hard to read on someone’s face all of the places they have been. Wouldn’t it be fascinating if individuals recorded detailed personal cartographic logs as a form of spatial biography?

With these thoughts in mind, I thought I would attempt to create a visual representation of the places I have been. I will have to find the proper methods and technologies to properly achieve this and then mentally sort through my past to record my spatial movements since birth. My end goal is to publish an interactive web and a static print map of this data. Hopefully I can accomplish this using open source software and document it in this blog. Each phase along the process will a learning experience that I will share here. I am starting very fresh in most of the technologies I will be using in this process, so I expect to encounter many challenges and exciting learning oportunities along the way.