diff --git a/DESCRIPTION b/DESCRIPTION
index ea8b57c..685c297 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -2,7 +2,7 @@ Package: rio
 Type: Package
 Title: A Swiss-Army Knife for Data I/O
 Version: 0.5.8
-Date: 2018-01-10
+Date: 2018-01-31
 Authors@R: c(person("Jason", "Becker", role = "ctb", email = "jason@jbecker.co"),
              person("Chung-hong", "Chan", role = "aut", email = "chainsawtiney@gmail.com"),
              person("Geoffrey CH", "Chan", role = "ctb", email = "gefchchan@gmail.com"),
@@ -13,7 +13,8 @@ Authors@R: c(person("Jason", "Becker", role = "ctb", email = "jason@jbecker.co")
              person("Christopher", "Gandrud", role = "ctb"),
              person("Andrew", "MacDonald", role = "ctb"),
              person("Ista", "Zahn", role = "ctb"),
-             person("Stanislaus", "Stadlmann", role = "ctb"))
+             person("Stanislaus", "Stadlmann", role = "ctb"),
+             person("Ruaridh", "Williamson", role = "ctb", email = "ruaridh.williamson@gmail.com"))
 Description: Streamlined data import and export by making assumptions that
     the user is probably willing to make: 'import()' and 'export()' determine
     the data structure from the file extension, reasonable defaults are used for
diff --git a/R/import_list.R b/R/import_list.R
index c27962d..d6c5b80 100644
--- a/R/import_list.R
+++ b/R/import_list.R
@@ -47,7 +47,11 @@ function(file,
     if (missing(setclass)) {
         setclass <- NULL
     }
+    strip_exts <- function(file) {
+      sapply(file, function(x) tools::file_path_sans_ext(basename(x)))
+    }
     if (length(file) > 1) {
+        names(file) <- strip_exts(file)
         x <- lapply(file, function(thisfile) {
             out <- try(import(thisfile, setclass = setclass, ...), silent = TRUE)
             if (inherits(out, "try-error")) {
@@ -67,12 +71,20 @@ function(file,
             if (missing(which)) {
                 if (get_ext(file) == "html") {
                     requireNamespace("xml2", quietly = TRUE)
-                    which <- seq_along(xml2::xml_find_all(xml2::read_html(unclass(file)), ".//table"))
+                    tables <- xml2::xml_find_all(xml2::read_html(unclass(file)), ".//table")
+                    which <- seq_along(tables)
+                    names(which) <- sapply(xml2::xml_attrs(tables),
+                      function(x) if ("class" %in% names(x)) x["class"] else ""
+                      )
                 } else if (get_ext(file) %in% c("xls","xlsx")) {
                     requireNamespace("readxl", quietly = TRUE)
-                    which <- seq_along(readxl::excel_sheets(path = file))
+                    whichnames <- readxl::excel_sheets(path = file)
+                    which <- seq_along(whichnames)
+                    names(which) <- whichnames
                 } else if (get_ext(file) %in% c("zip")) {
-                    which <- seq_len(nrow(utils::unzip(file, list = TRUE)))
+                    whichnames <- utils::unzip(file, list = TRUE)[, "Name"]
+                    which <- seq_along(whichnames)
+                    names(which) <- strip_exts(whichnames)
                 } else {
                     which <- 1
                 }
diff --git a/inst/examples/twotables.html b/inst/examples/twotables.html
index d608c98..168e023 100644
--- a/inst/examples/twotables.html
+++ b/inst/examples/twotables.html
@@ -5,7 +5,7 @@
     <title>R Exported Data</title>
   </head>
   <body>
-<table><tr><th>mpg</th><th>cyl</th><th>disp</th><th>hp</th><th>drat</th><th>wt</th><th>qsec</th><th>vs</th><th>am</th><th>gear</th><th>carb</th></tr><tr><td>21</td><td>6</td><td>160</td><td>110</td><td>3.9</td><td>2.62</td><td>16.46</td><td>0</td><td>1</td><td>4</td><td>4</td></tr><tr><td>21</td><td>6</td><td>160</td><td>110</td><td>3.9</td><td>2.875</td><td>17.02</td><td>0</td><td>1</td><td>4</td><td>4</td></tr><tr><td>22.8</td><td>4</td><td>108</td><td>93</td><td>3.85</td><td>2.32</td><td>18.61</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>21.4</td><td>6</td><td>258</td><td>110</td><td>3.08</td><td>3.215</td><td>19.44</td><td>1</td><td>0</td><td>3</td><td>1</td></tr><tr><td>18.7</td><td>8</td><td>360</td><td>175</td><td>3.15</td><td>3.44</td><td>17.02</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>18.1</td><td>6</td><td>225</td><td>105</td><td>2.76</td><td>3.46</td><td>20.22</td><td>1</td><td>0</td><td>3</td><td>1</td></tr><tr><td>14.3</td><td>8</td><td>360</td><td>245</td><td>3.21</td><td>3.57</td><td>15.84</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>24.4</td><td>4</td><td>146.7</td><td>62</td><td>3.69</td><td>3.19</td><td>20</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>22.8</td><td>4</td><td>140.8</td><td>95</td><td>3.92</td><td>3.15</td><td>22.9</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>19.2</td><td>6</td><td>167.6</td><td>123</td><td>3.92</td><td>3.44</td><td>18.3</td><td>1</td><td>0</td><td>4</td><td>4</td></tr><tr><td>17.8</td><td>6</td><td>167.6</td><td>123</td><td>3.92</td><td>3.44</td><td>18.9</td><td>1</td><td>0</td><td>4</td><td>4</td></tr><tr><td>16.4</td><td>8</td><td>275.8</td><td>180</td><td>3.07</td><td>4.07</td><td>17.4</td><td>0</td><td>0</td><td>3</td><td>3</td></tr><tr><td>17.3</td><td>8</td><td>275.8</td><td>180</td><td>3.07</td><td>3.73</td><td>17.6</td><td>0</td><td>0</td><td>3</td><td>3</td></tr><tr><td>15.2</td><td>8</td><td>275.8</td><td>180</td><td>3.07</td><td>3.78</td><td>18</td><td>0</td><td>0</td><td>3</td><td>3</td></tr><tr><td>10.4</td><td>8</td><td>472</td><td>205</td><td>2.93</td><td>5.25</td><td>17.98</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>10.4</td><td>8</td><td>460</td><td>215</td><td>3</td><td>5.424</td><td>17.82</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>14.7</td><td>8</td><td>440</td><td>230</td><td>3.23</td><td>5.345</td><td>17.42</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>32.4</td><td>4</td><td>78.7</td><td>66</td><td>4.08</td><td>2.2</td><td>19.47</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>30.4</td><td>4</td><td>75.7</td><td>52</td><td>4.93</td><td>1.615</td><td>18.52</td><td>1</td><td>1</td><td>4</td><td>2</td></tr><tr><td>33.9</td><td>4</td><td>71.1</td><td>65</td><td>4.22</td><td>1.835</td><td>19.9</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>21.5</td><td>4</td><td>120.1</td><td>97</td><td>3.7</td><td>2.465</td><td>20.01</td><td>1</td><td>0</td><td>3</td><td>1</td></tr><tr><td>15.5</td><td>8</td><td>318</td><td>150</td><td>2.76</td><td>3.52</td><td>16.87</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>15.2</td><td>8</td><td>304</td><td>150</td><td>3.15</td><td>3.435</td><td>17.3</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>13.3</td><td>8</td><td>350</td><td>245</td><td>3.73</td><td>3.84</td><td>15.41</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>19.2</td><td>8</td><td>400</td><td>175</td><td>3.08</td><td>3.845</td><td>17.05</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>27.3</td><td>4</td><td>79</td><td>66</td><td>4.08</td><td>1.935</td><td>18.9</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>26</td><td>4</td><td>120.3</td><td>91</td><td>4.43</td><td>2.14</td><td>16.7</td><td>0</td><td>1</td><td>5</td><td>2</td></tr><tr><td>30.4</td><td>4</td><td>95.1</td><td>113</td><td>3.77</td><td>1.513</td><td>16.9</td><td>1</td><td>1</td><td>5</td><td>2</td></tr><tr><td>15.8</td><td>8</td><td>351</td><td>264</td><td>4.22</td><td>3.17</td><td>14.5</td><td>0</td><td>1</td><td>5</td><td>4</td></tr><tr><td>19.7</td><td>6</td><td>145</td><td>175</td><td>3.62</td><td>2.77</td><td>15.5</td><td>0</td><td>1</td><td>5</td><td>6</td></tr><tr><td>15</td><td>8</td><td>301</td><td>335</td><td>3.54</td><td>3.57</td><td>14.6</td><td>0</td><td>1</td><td>5</td><td>8</td></tr><tr><td>21.4</td><td>4</td><td>121</td><td>109</td><td>4.11</td><td>2.78</td><td>18.6</td><td>1</td><td>1</td><td>4</td><td>2</td></tr></table>
+<table class="mtcars"><tr><th>mpg</th><th>cyl</th><th>disp</th><th>hp</th><th>drat</th><th>wt</th><th>qsec</th><th>vs</th><th>am</th><th>gear</th><th>carb</th></tr><tr><td>21</td><td>6</td><td>160</td><td>110</td><td>3.9</td><td>2.62</td><td>16.46</td><td>0</td><td>1</td><td>4</td><td>4</td></tr><tr><td>21</td><td>6</td><td>160</td><td>110</td><td>3.9</td><td>2.875</td><td>17.02</td><td>0</td><td>1</td><td>4</td><td>4</td></tr><tr><td>22.8</td><td>4</td><td>108</td><td>93</td><td>3.85</td><td>2.32</td><td>18.61</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>21.4</td><td>6</td><td>258</td><td>110</td><td>3.08</td><td>3.215</td><td>19.44</td><td>1</td><td>0</td><td>3</td><td>1</td></tr><tr><td>18.7</td><td>8</td><td>360</td><td>175</td><td>3.15</td><td>3.44</td><td>17.02</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>18.1</td><td>6</td><td>225</td><td>105</td><td>2.76</td><td>3.46</td><td>20.22</td><td>1</td><td>0</td><td>3</td><td>1</td></tr><tr><td>14.3</td><td>8</td><td>360</td><td>245</td><td>3.21</td><td>3.57</td><td>15.84</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>24.4</td><td>4</td><td>146.7</td><td>62</td><td>3.69</td><td>3.19</td><td>20</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>22.8</td><td>4</td><td>140.8</td><td>95</td><td>3.92</td><td>3.15</td><td>22.9</td><td>1</td><td>0</td><td>4</td><td>2</td></tr><tr><td>19.2</td><td>6</td><td>167.6</td><td>123</td><td>3.92</td><td>3.44</td><td>18.3</td><td>1</td><td>0</td><td>4</td><td>4</td></tr><tr><td>17.8</td><td>6</td><td>167.6</td><td>123</td><td>3.92</td><td>3.44</td><td>18.9</td><td>1</td><td>0</td><td>4</td><td>4</td></tr><tr><td>16.4</td><td>8</td><td>275.8</td><td>180</td><td>3.07</td><td>4.07</td><td>17.4</td><td>0</td><td>0</td><td>3</td><td>3</td></tr><tr><td>17.3</td><td>8</td><td>275.8</td><td>180</td><td>3.07</td><td>3.73</td><td>17.6</td><td>0</td><td>0</td><td>3</td><td>3</td></tr><tr><td>15.2</td><td>8</td><td>275.8</td><td>180</td><td>3.07</td><td>3.78</td><td>18</td><td>0</td><td>0</td><td>3</td><td>3</td></tr><tr><td>10.4</td><td>8</td><td>472</td><td>205</td><td>2.93</td><td>5.25</td><td>17.98</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>10.4</td><td>8</td><td>460</td><td>215</td><td>3</td><td>5.424</td><td>17.82</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>14.7</td><td>8</td><td>440</td><td>230</td><td>3.23</td><td>5.345</td><td>17.42</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>32.4</td><td>4</td><td>78.7</td><td>66</td><td>4.08</td><td>2.2</td><td>19.47</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>30.4</td><td>4</td><td>75.7</td><td>52</td><td>4.93</td><td>1.615</td><td>18.52</td><td>1</td><td>1</td><td>4</td><td>2</td></tr><tr><td>33.9</td><td>4</td><td>71.1</td><td>65</td><td>4.22</td><td>1.835</td><td>19.9</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>21.5</td><td>4</td><td>120.1</td><td>97</td><td>3.7</td><td>2.465</td><td>20.01</td><td>1</td><td>0</td><td>3</td><td>1</td></tr><tr><td>15.5</td><td>8</td><td>318</td><td>150</td><td>2.76</td><td>3.52</td><td>16.87</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>15.2</td><td>8</td><td>304</td><td>150</td><td>3.15</td><td>3.435</td><td>17.3</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>13.3</td><td>8</td><td>350</td><td>245</td><td>3.73</td><td>3.84</td><td>15.41</td><td>0</td><td>0</td><td>3</td><td>4</td></tr><tr><td>19.2</td><td>8</td><td>400</td><td>175</td><td>3.08</td><td>3.845</td><td>17.05</td><td>0</td><td>0</td><td>3</td><td>2</td></tr><tr><td>27.3</td><td>4</td><td>79</td><td>66</td><td>4.08</td><td>1.935</td><td>18.9</td><td>1</td><td>1</td><td>4</td><td>1</td></tr><tr><td>26</td><td>4</td><td>120.3</td><td>91</td><td>4.43</td><td>2.14</td><td>16.7</td><td>0</td><td>1</td><td>5</td><td>2</td></tr><tr><td>30.4</td><td>4</td><td>95.1</td><td>113</td><td>3.77</td><td>1.513</td><td>16.9</td><td>1</td><td>1</td><td>5</td><td>2</td></tr><tr><td>15.8</td><td>8</td><td>351</td><td>264</td><td>4.22</td><td>3.17</td><td>14.5</td><td>0</td><td>1</td><td>5</td><td>4</td></tr><tr><td>19.7</td><td>6</td><td>145</td><td>175</td><td>3.62</td><td>2.77</td><td>15.5</td><td>0</td><td>1</td><td>5</td><td>6</td></tr><tr><td>15</td><td>8</td><td>301</td><td>335</td><td>3.54</td><td>3.57</td><td>14.6</td><td>0</td><td>1</td><td>5</td><td>8</td></tr><tr><td>21.4</td><td>4</td><td>121</td><td>109</td><td>4.11</td><td>2.78</td><td>18.6</td><td>1</td><td>1</td><td>4</td><td>2</td></tr></table>
 <p></p>
 <table><tr><th>Sepal.Length</th><th>Sepal.Width</th><th>Petal.Length</th><th>Petal.Width</th><th>Species</th></tr><tr><td>5.1</td><td>3.5</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>4.9</td><td>3</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>4.7</td><td>3.2</td><td>1.3</td><td>0.2</td><td>setosa</td></tr><tr><td>4.6</td><td>3.1</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3.6</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>5.4</td><td>3.9</td><td>1.7</td><td>0.4</td><td>setosa</td></tr><tr><td>4.6</td><td>3.4</td><td>1.4</td><td>0.3</td><td>setosa</td></tr><tr><td>5</td><td>3.4</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>4.4</td><td>2.9</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>4.9</td><td>3.1</td><td>1.5</td><td>0.1</td><td>setosa</td></tr><tr><td>5.4</td><td>3.7</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>4.8</td><td>3.4</td><td>1.6</td><td>0.2</td><td>setosa</td></tr><tr><td>4.8</td><td>3</td><td>1.4</td><td>0.1</td><td>setosa</td></tr><tr><td>4.3</td><td>3</td><td>1.1</td><td>0.1</td><td>setosa</td></tr><tr><td>5.8</td><td>4</td><td>1.2</td><td>0.2</td><td>setosa</td></tr><tr><td>5.7</td><td>4.4</td><td>1.5</td><td>0.4</td><td>setosa</td></tr><tr><td>5.4</td><td>3.9</td><td>1.3</td><td>0.4</td><td>setosa</td></tr><tr><td>5.1</td><td>3.5</td><td>1.4</td><td>0.3</td><td>setosa</td></tr><tr><td>5.7</td><td>3.8</td><td>1.7</td><td>0.3</td><td>setosa</td></tr><tr><td>5.1</td><td>3.8</td><td>1.5</td><td>0.3</td><td>setosa</td></tr><tr><td>5.4</td><td>3.4</td><td>1.7</td><td>0.2</td><td>setosa</td></tr><tr><td>5.1</td><td>3.7</td><td>1.5</td><td>0.4</td><td>setosa</td></tr><tr><td>4.6</td><td>3.6</td><td>1</td><td>0.2</td><td>setosa</td></tr><tr><td>5.1</td><td>3.3</td><td>1.7</td><td>0.5</td><td>setosa</td></tr><tr><td>4.8</td><td>3.4</td><td>1.9</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3</td><td>1.6</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3.4</td><td>1.6</td><td>0.4</td><td>setosa</td></tr><tr><td>5.2</td><td>3.5</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>5.2</td><td>3.4</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>4.7</td><td>3.2</td><td>1.6</td><td>0.2</td><td>setosa</td></tr><tr><td>4.8</td><td>3.1</td><td>1.6</td><td>0.2</td><td>setosa</td></tr><tr><td>5.4</td><td>3.4</td><td>1.5</td><td>0.4</td><td>setosa</td></tr><tr><td>5.2</td><td>4.1</td><td>1.5</td><td>0.1</td><td>setosa</td></tr><tr><td>5.5</td><td>4.2</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>4.9</td><td>3.1</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3.2</td><td>1.2</td><td>0.2</td><td>setosa</td></tr><tr><td>5.5</td><td>3.5</td><td>1.3</td><td>0.2</td><td>setosa</td></tr><tr><td>4.9</td><td>3.6</td><td>1.4</td><td>0.1</td><td>setosa</td></tr><tr><td>4.4</td><td>3</td><td>1.3</td><td>0.2</td><td>setosa</td></tr><tr><td>5.1</td><td>3.4</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3.5</td><td>1.3</td><td>0.3</td><td>setosa</td></tr><tr><td>4.5</td><td>2.3</td><td>1.3</td><td>0.3</td><td>setosa</td></tr><tr><td>4.4</td><td>3.2</td><td>1.3</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3.5</td><td>1.6</td><td>0.6</td><td>setosa</td></tr><tr><td>5.1</td><td>3.8</td><td>1.9</td><td>0.4</td><td>setosa</td></tr><tr><td>4.8</td><td>3</td><td>1.4</td><td>0.3</td><td>setosa</td></tr><tr><td>5.1</td><td>3.8</td><td>1.6</td><td>0.2</td><td>setosa</td></tr><tr><td>4.6</td><td>3.2</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>5.3</td><td>3.7</td><td>1.5</td><td>0.2</td><td>setosa</td></tr><tr><td>5</td><td>3.3</td><td>1.4</td><td>0.2</td><td>setosa</td></tr><tr><td>7</td><td>3.2</td><td>4.7</td><td>1.4</td><td>versicolor</td></tr><tr><td>6.4</td><td>3.2</td><td>4.5</td><td>1.5</td><td>versicolor</td></tr><tr><td>6.9</td><td>3.1</td><td>4.9</td><td>1.5</td><td>versicolor</td></tr><tr><td>5.5</td><td>2.3</td><td>4</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.5</td><td>2.8</td><td>4.6</td><td>1.5</td><td>versicolor</td></tr><tr><td>5.7</td><td>2.8</td><td>4.5</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.3</td><td>3.3</td><td>4.7</td><td>1.6</td><td>versicolor</td></tr><tr><td>4.9</td><td>2.4</td><td>3.3</td><td>1</td><td>versicolor</td></tr><tr><td>6.6</td><td>2.9</td><td>4.6</td><td>1.3</td><td>versicolor</td></tr><tr><td>5.2</td><td>2.7</td><td>3.9</td><td>1.4</td><td>versicolor</td></tr><tr><td>5</td><td>2</td><td>3.5</td><td>1</td><td>versicolor</td></tr><tr><td>5.9</td><td>3</td><td>4.2</td><td>1.5</td><td>versicolor</td></tr><tr><td>6</td><td>2.2</td><td>4</td><td>1</td><td>versicolor</td></tr><tr><td>6.1</td><td>2.9</td><td>4.7</td><td>1.4</td><td>versicolor</td></tr><tr><td>5.6</td><td>2.9</td><td>3.6</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.7</td><td>3.1</td><td>4.4</td><td>1.4</td><td>versicolor</td></tr><tr><td>5.6</td><td>3</td><td>4.5</td><td>1.5</td><td>versicolor</td></tr><tr><td>5.8</td><td>2.7</td><td>4.1</td><td>1</td><td>versicolor</td></tr><tr><td>6.2</td><td>2.2</td><td>4.5</td><td>1.5</td><td>versicolor</td></tr><tr><td>5.6</td><td>2.5</td><td>3.9</td><td>1.1</td><td>versicolor</td></tr><tr><td>5.9</td><td>3.2</td><td>4.8</td><td>1.8</td><td>versicolor</td></tr><tr><td>6.1</td><td>2.8</td><td>4</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.3</td><td>2.5</td><td>4.9</td><td>1.5</td><td>versicolor</td></tr><tr><td>6.1</td><td>2.8</td><td>4.7</td><td>1.2</td><td>versicolor</td></tr><tr><td>6.4</td><td>2.9</td><td>4.3</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.6</td><td>3</td><td>4.4</td><td>1.4</td><td>versicolor</td></tr><tr><td>6.8</td><td>2.8</td><td>4.8</td><td>1.4</td><td>versicolor</td></tr><tr><td>6.7</td><td>3</td><td>5</td><td>1.7</td><td>versicolor</td></tr><tr><td>6</td><td>2.9</td><td>4.5</td><td>1.5</td><td>versicolor</td></tr><tr><td>5.7</td><td>2.6</td><td>3.5</td><td>1</td><td>versicolor</td></tr><tr><td>5.5</td><td>2.4</td><td>3.8</td><td>1.1</td><td>versicolor</td></tr><tr><td>5.5</td><td>2.4</td><td>3.7</td><td>1</td><td>versicolor</td></tr><tr><td>5.8</td><td>2.7</td><td>3.9</td><td>1.2</td><td>versicolor</td></tr><tr><td>6</td><td>2.7</td><td>5.1</td><td>1.6</td><td>versicolor</td></tr><tr><td>5.4</td><td>3</td><td>4.5</td><td>1.5</td><td>versicolor</td></tr><tr><td>6</td><td>3.4</td><td>4.5</td><td>1.6</td><td>versicolor</td></tr><tr><td>6.7</td><td>3.1</td><td>4.7</td><td>1.5</td><td>versicolor</td></tr><tr><td>6.3</td><td>2.3</td><td>4.4</td><td>1.3</td><td>versicolor</td></tr><tr><td>5.6</td><td>3</td><td>4.1</td><td>1.3</td><td>versicolor</td></tr><tr><td>5.5</td><td>2.5</td><td>4</td><td>1.3</td><td>versicolor</td></tr><tr><td>5.5</td><td>2.6</td><td>4.4</td><td>1.2</td><td>versicolor</td></tr><tr><td>6.1</td><td>3</td><td>4.6</td><td>1.4</td><td>versicolor</td></tr><tr><td>5.8</td><td>2.6</td><td>4</td><td>1.2</td><td>versicolor</td></tr><tr><td>5</td><td>2.3</td><td>3.3</td><td>1</td><td>versicolor</td></tr><tr><td>5.6</td><td>2.7</td><td>4.2</td><td>1.3</td><td>versicolor</td></tr><tr><td>5.7</td><td>3</td><td>4.2</td><td>1.2</td><td>versicolor</td></tr><tr><td>5.7</td><td>2.9</td><td>4.2</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.2</td><td>2.9</td><td>4.3</td><td>1.3</td><td>versicolor</td></tr><tr><td>5.1</td><td>2.5</td><td>3</td><td>1.1</td><td>versicolor</td></tr><tr><td>5.7</td><td>2.8</td><td>4.1</td><td>1.3</td><td>versicolor</td></tr><tr><td>6.3</td><td>3.3</td><td>6</td><td>2.5</td><td>virginica</td></tr><tr><td>5.8</td><td>2.7</td><td>5.1</td><td>1.9</td><td>virginica</td></tr><tr><td>7.1</td><td>3</td><td>5.9</td><td>2.1</td><td>virginica</td></tr><tr><td>6.3</td><td>2.9</td><td>5.6</td><td>1.8</td><td>virginica</td></tr><tr><td>6.5</td><td>3</td><td>5.8</td><td>2.2</td><td>virginica</td></tr><tr><td>7.6</td><td>3</td><td>6.6</td><td>2.1</td><td>virginica</td></tr><tr><td>4.9</td><td>2.5</td><td>4.5</td><td>1.7</td><td>virginica</td></tr><tr><td>7.3</td><td>2.9</td><td>6.3</td><td>1.8</td><td>virginica</td></tr><tr><td>6.7</td><td>2.5</td><td>5.8</td><td>1.8</td><td>virginica</td></tr><tr><td>7.2</td><td>3.6</td><td>6.1</td><td>2.5</td><td>virginica</td></tr><tr><td>6.5</td><td>3.2</td><td>5.1</td><td>2</td><td>virginica</td></tr><tr><td>6.4</td><td>2.7</td><td>5.3</td><td>1.9</td><td>virginica</td></tr><tr><td>6.8</td><td>3</td><td>5.5</td><td>2.1</td><td>virginica</td></tr><tr><td>5.7</td><td>2.5</td><td>5</td><td>2</td><td>virginica</td></tr><tr><td>5.8</td><td>2.8</td><td>5.1</td><td>2.4</td><td>virginica</td></tr><tr><td>6.4</td><td>3.2</td><td>5.3</td><td>2.3</td><td>virginica</td></tr><tr><td>6.5</td><td>3</td><td>5.5</td><td>1.8</td><td>virginica</td></tr><tr><td>7.7</td><td>3.8</td><td>6.7</td><td>2.2</td><td>virginica</td></tr><tr><td>7.7</td><td>2.6</td><td>6.9</td><td>2.3</td><td>virginica</td></tr><tr><td>6</td><td>2.2</td><td>5</td><td>1.5</td><td>virginica</td></tr><tr><td>6.9</td><td>3.2</td><td>5.7</td><td>2.3</td><td>virginica</td></tr><tr><td>5.6</td><td>2.8</td><td>4.9</td><td>2</td><td>virginica</td></tr><tr><td>7.7</td><td>2.8</td><td>6.7</td><td>2</td><td>virginica</td></tr><tr><td>6.3</td><td>2.7</td><td>4.9</td><td>1.8</td><td>virginica</td></tr><tr><td>6.7</td><td>3.3</td><td>5.7</td><td>2.1</td><td>virginica</td></tr><tr><td>7.2</td><td>3.2</td><td>6</td><td>1.8</td><td>virginica</td></tr><tr><td>6.2</td><td>2.8</td><td>4.8</td><td>1.8</td><td>virginica</td></tr><tr><td>6.1</td><td>3</td><td>4.9</td><td>1.8</td><td>virginica</td></tr><tr><td>6.4</td><td>2.8</td><td>5.6</td><td>2.1</td><td>virginica</td></tr><tr><td>7.2</td><td>3</td><td>5.8</td><td>1.6</td><td>virginica</td></tr><tr><td>7.4</td><td>2.8</td><td>6.1</td><td>1.9</td><td>virginica</td></tr><tr><td>7.9</td><td>3.8</td><td>6.4</td><td>2</td><td>virginica</td></tr><tr><td>6.4</td><td>2.8</td><td>5.6</td><td>2.2</td><td>virginica</td></tr><tr><td>6.3</td><td>2.8</td><td>5.1</td><td>1.5</td><td>virginica</td></tr><tr><td>6.1</td><td>2.6</td><td>5.6</td><td>1.4</td><td>virginica</td></tr><tr><td>7.7</td><td>3</td><td>6.1</td><td>2.3</td><td>virginica</td></tr><tr><td>6.3</td><td>3.4</td><td>5.6</td><td>2.4</td><td>virginica</td></tr><tr><td>6.4</td><td>3.1</td><td>5.5</td><td>1.8</td><td>virginica</td></tr><tr><td>6</td><td>3</td><td>4.8</td><td>1.8</td><td>virginica</td></tr><tr><td>6.9</td><td>3.1</td><td>5.4</td><td>2.1</td><td>virginica</td></tr><tr><td>6.7</td><td>3.1</td><td>5.6</td><td>2.4</td><td>virginica</td></tr><tr><td>6.9</td><td>3.1</td><td>5.1</td><td>2.3</td><td>virginica</td></tr><tr><td>5.8</td><td>2.7</td><td>5.1</td><td>1.9</td><td>virginica</td></tr><tr><td>6.8</td><td>3.2</td><td>5.9</td><td>2.3</td><td>virginica</td></tr><tr><td>6.7</td><td>3.3</td><td>5.7</td><td>2.5</td><td>virginica</td></tr><tr><td>6.7</td><td>3</td><td>5.2</td><td>2.3</td><td>virginica</td></tr><tr><td>6.3</td><td>2.5</td><td>5</td><td>1.9</td><td>virginica</td></tr><tr><td>6.5</td><td>3</td><td>5.2</td><td>2</td><td>virginica</td></tr><tr><td>6.2</td><td>3.4</td><td>5.4</td><td>2.3</td><td>virginica</td></tr><tr><td>5.9</td><td>3</td><td>5.1</td><td>1.8</td><td>virginica</td></tr></table>
 </body>
diff --git a/tests/testthat/test_import_list.R b/tests/testthat/test_import_list.R
index 889daca..e1f44c8 100644
--- a/tests/testthat/test_import_list.R
+++ b/tests/testthat/test_import_list.R
@@ -41,5 +41,24 @@ test_that("Using setclass in import_list()", {
     
 })
 
+test_that("Object names are preserved by import_list()", {
+    export(list(mtcars1 = mtcars[1:10,],
+                mtcars2 = mtcars[11:20,],
+                mtcars3 = mtcars[21:32,]), "mtcars.xlsx")
+    export(mtcars[1:10,],  "mtcars1.csv")
+    export(mtcars[11:20,], "mtcars2.tsv")
+    export(mtcars[21:32,], "mtcars3.csv")
+    expected_names <- c("mtcars1", "mtcars2", "mtcars3")
+    dat_xls <- import_list("mtcars.xlsx")
+    dat_csv <- import_list(c("mtcars1.csv","mtcars2.tsv","mtcars3.csv"))
+    dat_html <- import_list(system.file("examples", "twotables.html", package = "rio"))
+    
+    expect_identical(names(dat_xls), expected_names)
+    expect_identical(names(dat_csv), expected_names)
+    expect_identical(names(dat_html), c("mtcars", ""))
+    
+    unlink(c("mtcars.xlsx", "mtcars1.csv","mtcars2.tsv","mtcars3.csv"))
+})
+
 unlink("data.rdata")
 unlink("mtcars.rds")

mpg	cyl	disp	hp	drat	wt	qsec	vs	am	gear	carb
21	6	160	110	3.9	2.62	16.46	0	1	4	4
21	6	160	110	3.9	2.875	17.02	0	1	4	4
22.8	4	108	93	3.85	2.32	18.61	1	1	4	1
21.4	6	258	110	3.08	3.215	19.44	1	0	3	1
18.7	8	360	175	3.15	3.44	17.02	0	0	3	2
18.1	6	225	105	2.76	3.46	20.22	1	0	3	1
14.3	8	360	245	3.21	3.57	15.84	0	0	3	4
24.4	4	146.7	62	3.69	3.19	20	1	0	4	2
22.8	4	140.8	95	3.92	3.15	22.9	1	0	4	2
19.2	6	167.6	123	3.92	3.44	18.3	1	0	4	4
17.8	6	167.6	123	3.92	3.44	18.9	1	0	4	4
16.4	8	275.8	180	3.07	4.07	17.4	0	0	3	3
17.3	8	275.8	180	3.07	3.73	17.6	0	0	3	3
15.2	8	275.8	180	3.07	3.78	18	0	0	3	3
10.4	8	472	205	2.93	5.25	17.98	0	0	3	4
10.4	8	460	215	3	5.424	17.82	0	0	3	4
14.7	8	440	230	3.23	5.345	17.42	0	0	3	4
32.4	4	78.7	66	4.08	2.2	19.47	1	1	4	1
30.4	4	75.7	52	4.93	1.615	18.52	1	1	4	2
33.9	4	71.1	65	4.22	1.835	19.9	1	1	4	1
21.5	4	120.1	97	3.7	2.465	20.01	1	0	3	1
15.5	8	318	150	2.76	3.52	16.87	0	0	3	2
15.2	8	304	150	3.15	3.435	17.3	0	0	3	2
13.3	8	350	245	3.73	3.84	15.41	0	0	3	4
19.2	8	400	175	3.08	3.845	17.05	0	0	3	2
27.3	4	79	66	4.08	1.935	18.9	1	1	4	1
26	4	120.3	91	4.43	2.14	16.7	0	1	5	2
30.4	4	95.1	113	3.77	1.513	16.9	1	1	5	2
15.8	8	351	264	4.22	3.17	14.5	0	1	5	4
19.7	6	145	175	3.62	2.77	15.5	0	1	5	6
15	8	301	335	3.54	3.57	14.6	0	1	5	8
21.4	4	121	109	4.11	2.78	18.6	1	1	4	2
Sepal.Length	Sepal.Width	Petal.Length	Petal.Width	Species
5.1	3.5	1.4	0.2	setosa
4.9	3	1.4	0.2	setosa
4.7	3.2	1.3	0.2	setosa
4.6	3.1	1.5	0.2	setosa
5	3.6	1.4	0.2	setosa
5.4	3.9	1.7	0.4	setosa
4.6	3.4	1.4	0.3	setosa
5	3.4	1.5	0.2	setosa
4.4	2.9	1.4	0.2	setosa
4.9	3.1	1.5	0.1	setosa
5.4	3.7	1.5	0.2	setosa
4.8	3.4	1.6	0.2	setosa
4.8	3	1.4	0.1	setosa
4.3	3	1.1	0.1	setosa
5.8	4	1.2	0.2	setosa
5.7	4.4	1.5	0.4	setosa
5.4	3.9	1.3	0.4	setosa
5.1	3.5	1.4	0.3	setosa
5.7	3.8	1.7	0.3	setosa
5.1	3.8	1.5	0.3	setosa
5.4	3.4	1.7	0.2	setosa
5.1	3.7	1.5	0.4	setosa
4.6	3.6	1	0.2	setosa
5.1	3.3	1.7	0.5	setosa
4.8	3.4	1.9	0.2	setosa
5	3	1.6	0.2	setosa
5	3.4	1.6	0.4	setosa
5.2	3.5	1.5	0.2	setosa
5.2	3.4	1.4	0.2	setosa
4.7	3.2	1.6	0.2	setosa
4.8	3.1	1.6	0.2	setosa
5.4	3.4	1.5	0.4	setosa
5.2	4.1	1.5	0.1	setosa
5.5	4.2	1.4	0.2	setosa
4.9	3.1	1.5	0.2	setosa
5	3.2	1.2	0.2	setosa
5.5	3.5	1.3	0.2	setosa
4.9	3.6	1.4	0.1	setosa
4.4	3	1.3	0.2	setosa
5.1	3.4	1.5	0.2	setosa
5	3.5	1.3	0.3	setosa
4.5	2.3	1.3	0.3	setosa
4.4	3.2	1.3	0.2	setosa
5	3.5	1.6	0.6	setosa
5.1	3.8	1.9	0.4	setosa
4.8	3	1.4	0.3	setosa
5.1	3.8	1.6	0.2	setosa
4.6	3.2	1.4	0.2	setosa
5.3	3.7	1.5	0.2	setosa
5	3.3	1.4	0.2	setosa
7	3.2	4.7	1.4	versicolor
6.4	3.2	4.5	1.5	versicolor
6.9	3.1	4.9	1.5	versicolor
5.5	2.3	4	1.3	versicolor
6.5	2.8	4.6	1.5	versicolor
5.7	2.8	4.5	1.3	versicolor
6.3	3.3	4.7	1.6	versicolor
4.9	2.4	3.3	1	versicolor
6.6	2.9	4.6	1.3	versicolor
5.2	2.7	3.9	1.4	versicolor
5	2	3.5	1	versicolor
5.9	3	4.2	1.5	versicolor
6	2.2	4	1	versicolor
6.1	2.9	4.7	1.4	versicolor
5.6	2.9	3.6	1.3	versicolor
6.7	3.1	4.4	1.4	versicolor
5.6	3	4.5	1.5	versicolor
5.8	2.7	4.1	1	versicolor
6.2	2.2	4.5	1.5	versicolor
5.6	2.5	3.9	1.1	versicolor
5.9	3.2	4.8	1.8	versicolor
6.1	2.8	4	1.3	versicolor
6.3	2.5	4.9	1.5	versicolor
6.1	2.8	4.7	1.2	versicolor
6.4	2.9	4.3	1.3	versicolor
6.6	3	4.4	1.4	versicolor
6.8	2.8	4.8	1.4	versicolor
6.7	3	5	1.7	versicolor
6	2.9	4.5	1.5	versicolor
5.7	2.6	3.5	1	versicolor
5.5	2.4	3.8	1.1	versicolor
5.5	2.4	3.7	1	versicolor
5.8	2.7	3.9	1.2	versicolor
6	2.7	5.1	1.6	versicolor
5.4	3	4.5	1.5	versicolor
6	3.4	4.5	1.6	versicolor
6.7	3.1	4.7	1.5	versicolor
6.3	2.3	4.4	1.3	versicolor
5.6	3	4.1	1.3	versicolor
5.5	2.5	4	1.3	versicolor
5.5	2.6	4.4	1.2	versicolor
6.1	3	4.6	1.4	versicolor
5.8	2.6	4	1.2	versicolor
5	2.3	3.3	1	versicolor
5.6	2.7	4.2	1.3	versicolor
5.7	3	4.2	1.2	versicolor
5.7	2.9	4.2	1.3	versicolor
6.2	2.9	4.3	1.3	versicolor
5.1	2.5	3	1.1	versicolor
5.7	2.8	4.1	1.3	versicolor
6.3	3.3	6	2.5	virginica
5.8	2.7	5.1	1.9	virginica
7.1	3	5.9	2.1	virginica
6.3	2.9	5.6	1.8	virginica
6.5	3	5.8	2.2	virginica
7.6	3	6.6	2.1	virginica
4.9	2.5	4.5	1.7	virginica
7.3	2.9	6.3	1.8	virginica
6.7	2.5	5.8	1.8	virginica
7.2	3.6	6.1	2.5	virginica
6.5	3.2	5.1	2	virginica
6.4	2.7	5.3	1.9	virginica
6.8	3	5.5	2.1	virginica
5.7	2.5	5	2	virginica
5.8	2.8	5.1	2.4	virginica
6.4	3.2	5.3	2.3	virginica
6.5	3	5.5	1.8	virginica
7.7	3.8	6.7	2.2	virginica
7.7	2.6	6.9	2.3	virginica
6	2.2	5	1.5	virginica
6.9	3.2	5.7	2.3	virginica
5.6	2.8	4.9	2	virginica
7.7	2.8	6.7	2	virginica
6.3	2.7	4.9	1.8	virginica
6.7	3.3	5.7	2.1	virginica
7.2	3.2	6	1.8	virginica
6.2	2.8	4.8	1.8	virginica
6.1	3	4.9	1.8	virginica
6.4	2.8	5.6	2.1	virginica
7.2	3	5.8	1.6	virginica
7.4	2.8	6.1	1.9	virginica
7.9	3.8	6.4	2	virginica
6.4	2.8	5.6	2.2	virginica
6.3	2.8	5.1	1.5	virginica
6.1	2.6	5.6	1.4	virginica
7.7	3	6.1	2.3	virginica
6.3	3.4	5.6	2.4	virginica
6.4	3.1	5.5	1.8	virginica
6	3	4.8	1.8	virginica
6.9	3.1	5.4	2.1	virginica
6.7	3.1	5.6	2.4	virginica
6.9	3.1	5.1	2.3	virginica
5.8	2.7	5.1	1.9	virginica
6.8	3.2	5.9	2.3	virginica
6.7	3.3	5.7	2.5	virginica
6.7	3	5.2	2.3	virginica
6.3	2.5	5	1.9	virginica
6.5	3	5.2	2	virginica
6.2	3.4	5.4	2.3	virginica
5.9	3	5.1	1.8	virginica