Excitement about the political science job market builds around the time of the Labor Day Annual Meeting of the APSA, when schools start to post their openings for the next year. As we entered the job market, we found ourselves repeatedly collecting information about available positions as we prepared application materials. We monitored APSA's eJobs website, cut and pasted relevant job information into a single spreadsheet, and assembled letters using that information. Here, we introduce free and open-source tools to automate these data collection and letter generation procedures using R and LaTeX. Our system minimizes manual data entry by extracting and creating a spreadsheet from APSA's eJobs information. We walk applicants through the initial job search steps, including using eJobs, compiling position information, and producing attractive letters.A s we entered the job market, we found ourselves spending hours collecting information about job openings and preparing applications to send to hiring committees. First, we repeatedly transferred information about dozens of jobs from the web to a single spreadsheet. This process involved line-by-line cutting and pasting for every position to which we applied (most of which were drawn from APSA's eJobs). Second, we manually created customized letters that drew information from our spreadsheet. As users of LaTeX, a free and open-source platform for creating professionally typeset documents, we found no off-the-shelf mailmerge procedure in LaTeX that accepted a spreadsheet as an input. 1 LaTeX is increasingly used by social scientists and taught to graduate students in political science programs because of its flexibility, quality, and affordability (it's free!). We found ourselves wishing we could automate these processes to populate our jobs spreadsheet more quickly and then generate attractive mail-merged letters for potential employers.To save job-seekers time and effort, we here introduce muRL, 2 a set of tools for collecting job information and preparing cover letters and mailing labels. These tools can be applied to any mailmerge task (e.g., letters of recommendation), and we provide guidance on special methods to simplify job searches in the field of political science. There are several benefits to our approach. We are able to automate the data entry of job information from APSA's eJobs listings. Using R and LaTeX, we can create handsome documents and minimize the effort dedicated to word processing and formatting tasks, allowing applicants to focus on creating highquality content to send to hiring committees. Finally, by automating the creation of letters, we can help prevent small mistakes with potentially large consequences: no search committee member from University X wants to read a cover letter that touts an applicant as "a great match for the position at University Y"! The next section briefly sketches the job market process and the importance of the cover letter. We then detail the benefits of our approach and how it can be used in your own poli...