How do I create a spreadsheet containing the coordinates and predicted bond angles, molecular properties, torsion properties, etc of a molecule? On a previous answer here (https://chemistry.stackexchange.com/a/30841/876) I was informed in the comments that OpenBabel &amp; Python terminal could be used to print the data contained in the property matrices of Avogadro (more info can be found here How do I print property matrices in Avogadro?). I should be clear, however, most of the files I want to be able to do this for are CIF files where the bond angles and lengths are not explicitly mentioned in the files, so these properties may need to be predicted by the software. So I felt I couldn't be the only person interested in this so I thought I'd ask this question on this site. 

I would like any answer to be suitable for those operating on Windows machines, if possible. I have Python &amp; OpenBabel installed on my 64 bit Windows 7 PC, so I believe this shouldn't be a major issue, hopefully.
You want the Open Babel "report" format, e.g.:

obabel benzene.cml -oreport


FILENAME: benzene.g03
FORMULA: C6H6
MASS: 78.1118
EXACT MASS: 78.0469502
INTERATOMIC DISTANCES

              C   1      C   2      C   3      C   4      C   5      C   6
              ------------------------------------------------------------------
   C   1    0.0000 
   C   2    1.3975     0.0000 
   C   3    2.4207     1.3975     0.0000 
   C   4    2.7952     2.4205     1.3976     0.0000 
   C   5    2.4205     2.7948     2.4205     1.3975     0.0000 
   C   6    1.3976     2.4205     2.7952     2.4207     1.3975     0.0000 
   H   7    1.0841     2.1549     3.4030     3.8793     3.4029     2.1549 
   H   8    2.1548     1.0841     2.1548     3.4028     3.8789     3.4028 
   H   9    3.4030     2.1549     1.0841     2.1549     3.4029     3.8793 
   H  10    3.8793     3.4029     2.1549     1.0841     2.1549     3.4030 
   H  11    3.4028     3.8789     3.4028     2.1548     1.0841     2.1548 
   H  12    2.1549     3.4029     3.8793     3.4030     2.1549     1.0841 

              H   7      H   8      H   9      H  10      H  11      H  12
              ------------------------------------------------------------------
   H   7    0.0000 
   H   8    2.4816     0.0000 
   H   9    4.2984     2.4816     0.0000 
   H  10    4.9634     4.2982     2.4817     0.0000 
   H  11    4.2982     4.9630     4.2982     2.4816     0.0000 
   H  12    2.4817     4.2982     4.9634     4.2984     2.4816     0.0000 




ATOMIC CHARGES
   C   1   -0.1860370000
   C   2   -0.1859930000
   C   3   -0.1860370000
   C   4   -0.1860370000
   C   5   -0.1859930000
   C   6   -0.1860370000
   H   7    0.1860240000
   H   8    0.1860180000
   H   9    0.1860240000
   H  10    0.1860240000
   H  11    0.1860180000
   H  12    0.1860240000


BOND ANGLES
   6    1    7  Car  Car    H    120.003
   2    1    6  Car  Car  Car    119.993
   2    1    7  Car  Car    H    120.004
   1    2    3  Car  Car  Car    120.014
   1    2    8  Car  Car    H    119.993
   3    2    8  Car  Car    H    119.993
   4    3    9  Car  Car    H    120.003
   2    3    4  Car  Car  Car    119.993
   2    3    9  Car  Car    H    120.004
   5    4   10  Car  Car    H    120.004
   3    4    5  Car  Car  Car    119.993
   3    4   10  Car  Car    H    120.003
   4    5   11  Car  Car    H    119.993
   6    5   11  Car  Car    H    119.993
   4    5    6  Car  Car  Car    120.014
   5    6   12  Car  Car    H    120.004
   1    6    5  Car  Car  Car    119.993
   1    6   12  Car  Car    H    120.003


TORSION ANGLES
  11    5    4   10     -0.000
  11    5    4    3   -180.000
   6    5    4   10   -180.000
   6    5    4    3     -0.000
  11    5    6   12      0.000
  11    5    6    1   -180.000
   4    5    6   12   -180.000
   4    5    6    1     -0.000
   5    4    3    9   -180.000
   5    4    3    2     -0.000
  10    4    3    9     -0.000
  10    4    3    2   -180.000
   5    6    1    7   -180.000
   5    6    1    2     -0.000
  12    6    1    7     -0.000
  12    6    1    2   -180.000
   6    1    2    3     -0.000
   6    1    2    8   -180.000
   7    1    2    3   -180.000
   7    1    2    8     -0.000
   4    3    2    1      0.000
   4    3    2    8   -180.000
   9    3    2    1   -180.000
   9    3    2    8     -0.000


UPDATE:

You mentioned wanting a CSV-parsable output, e.g., from Python.

I wrote up a fairly quick tool for this molcsv.py

It should be pretty obvious about modifying as needed in the different for loops.