diff --git a/hipercam/scripts/__init__.py b/hipercam/scripts/__init__.py
index 7591e69..702666e 100644
--- a/hipercam/scripts/__init__.py
+++ b/hipercam/scripts/__init__.py
@@ -25,6 +25,7 @@
 from .hmeta import hmeta
 from .hplot import hplot
 from .ltimes import ltimes
+from .logsearch import logsearch
 from .ltrans import ltrans
 from .makebias import makebias
 from .makedark import makedark
diff --git a/hipercam/scripts/logsearch.py b/hipercam/scripts/logsearch.py
new file mode 100644
index 0000000..ca8aa9c
--- /dev/null
+++ b/hipercam/scripts/logsearch.py
@@ -0,0 +1,203 @@
+import sys
+import traceback
+import os
+import shutil
+import re
+import warnings
+
+import numpy as np
+import pandas as pd
+import matplotlib.pylab as plt
+
+import astropy.units as u
+
+import hipercam as hcam
+from hipercam import cline, utils
+from hipercam.cline import Cline
+from hipercam.utils import format_ulogger_table, target_lookup
+
+__all__ = [
+    "logsearch",
+]
+
+#######################################################################
+#
+# logsearch -- carries out a search for particular objects in data logs
+#
+#######################################################################
+
+def logsearch(args=None):
+    description = \
+    """``logsearch target tmin [dmax regex (nocase) instrument hcamlog ucamlog uspeclog]``
+
+    Searches for ``target`` in the |hiper| or |ucam| logs. Carries out
+    a coordinate lookup given a name. Then searches for runs with
+    matching RAs and Decs, either as identified from target names or
+    from telescope pointing values (by ending J123456.7-123456 or
+    similar). Can also search by regular expression matching. It tries
+    not to miss things, i.e. be on the generous side, so it will
+    return a match if either of two sets of coordinates match, even if
+    one does not.
+
+    Arguments::
+
+       target : str
+          Target name. On the command line, must be enclosed in quotes if it
+          contains space. /this will be used first to carry out a lookup in
+          SIMBAD to find the RA and Dec. Failing this it tries to identify
+          coordinates from a final strength of the form JHHMMSS.S[+/-]DDMMSS
+
+       tmin : float
+          Minimum exposure duration seconds.
+
+       dmax : float [hidden]
+          Maximum distance from lookup position, arcminutes
+
+       regex : str [hidden]
+          Regular expression to use to try to match target names in addition to
+          the coordinate matching. Default to "none"
+
+       nocase : bool [hidden, if regex is not "none"]
+          True for case-insensitive matching, else case-sensitive used with regex
+
+       instrument : str [hidden]
+          'hipercam', 'ultracam', or 'ultrapec'
+
+       hcamlog : log
+          Path to hipercam spreadsheet
+
+       ucamlog : log
+          Path to ultracam spreadsheet
+
+       uspeclog : log
+          Path to ultraspec spreadsheet
+
+    """
+
+    command, args = utils.script_args(args)
+
+    with Cline("HIPERCAM_ENV", ".hipercam", command, args) as cl:
+
+        # register parameters
+        cl.register("target", Cline.LOCAL, Cline.PROMPT)
+        cl.register("tmin", Cline.LOCAL, Cline.PROMPT)
+        cl.register("dmax", Cline.LOCAL, Cline.HIDE)
+        cl.register("regex", Cline.LOCAL, Cline.HIDE)
+        cl.register("nocase", Cline.LOCAL, Cline.HIDE)
+        cl.register("instrument", Cline.LOCAL, Cline.HIDE)
+        cl.register("hcamlog", Cline.LOCAL, Cline.HIDE)
+        cl.register("ucamlog", Cline.LOCAL, Cline.HIDE)
+        cl.register("uspeclog", Cline.LOCAL, Cline.HIDE)
+
+        # get inputs
+        target = cl.get_value(
+            "target", "target name for simbad lookup",
+            "AR Sco"
+        )
+
+        tmin = cl.get_value(
+            "tmin", "minimum exposure duration for a run to be included [seconds, < 0 for no check at all]", -1
+        )
+
+        dmax = cl.get_value(
+            "dmax", "maximum distance from target [arcminutes]",
+            12., 0.
+        )
+
+        cl.set_default('regex','none')
+        regex = cl.get_value(
+            "regex", "regular expression to match target name [none to ignore]",
+            "none", ignore="none"
+        )
+
+        if regex is not None:
+            nocase = cl.get_value(
+                "nocase", "case insensitive match?", True
+            )
+
+        instrument = cl.get_value(
+            "instrument",
+            "instrument of interest [hipercam, ultracam, ultraspec]",
+            "ultraspec", lvals=['hipercam', 'ultracam', 'ultraspec']
+        )
+
+        if instrument == 'hipercam':
+            log = cl.get_value(
+                "hcamlog", "path to hipercam spreadsheet",
+                cline.Fname("hipercam.xlsx", ".xlsx")
+            )
+
+        elif instrument == 'ultracam':
+            log = cl.get_value(
+                "ucamlog", "path to ultracam spreadsheet",
+                cline.Fname("ultracam.xlsx", ".xlsx")
+            )
+
+        elif instrument == 'ultraspec':
+            log = cl.get_value(
+                "uspeclog", "path to ultraspec spreadsheet",
+                cline.Fname("ultraspec.xlsx", ".xlsx")
+            )
+
+    name, ra, dec = target_lookup(target)
+    if name == 'UNDEF':
+        print(f'Coordinate lookup for "{target}" failed')
+        return
+
+    print(f'Coordinate lookup for "{target}" returned name = "{name}", RA [hrs] = {ra}, Dec [deg] = {dec}')
+
+    ra = np.radians(15*ra)
+    dec = np.radians(dec)
+    cat = np.cos(ra)
+    sat = np.sin(ra)
+    cdt = np.cos(dec)
+    sdt = np.sin(dec)
+    cmin = np.cos(np.radians(dmax/60))
+
+    print(f'\nLoading log = {log}')
+    tab = pd.read_excel(log)
+    print(f'Loaded {len(tab)} runs from {log}')
+
+    # Extract positions
+    ras = tab['ra_deg']
+    decs = tab['dec_deg']
+    ras = np.array(np.radians(ras))
+    decs = np.array(np.radians(decs))
+
+    ca = np.cos(ras)
+    sa = np.sin(ras)
+    cd = np.cos(decs)
+    sd = np.sin(decs)
+    cdiff = ca*cd*cat*cdt + cd*sa*cdt*sat + sd*sdt
+    # set logical array all False
+    ok = np.zeros_like(cdiff, dtype=np.bool)
+    good = ~np.isnan(cdiff)
+    ok[good] = cdiff[good] > cmin
+
+    if instrument == 'ultraspec':
+        ras_tels = np.array(np.radians(tab['ra_tel_deg']))
+        decs_tels = np.array(np.radians(tab['dec_tel_deg']))
+        ca = np.cos(ras_tels)
+        sa = np.sin(ras_tels)
+        cd = np.cos(decs_tels)
+        sd = np.sin(decs_tels)
+        cdiff = ca*cd*cat*cdt + cd*sa*cdt*sat + sd*sdt
+        good = ~np.isnan(cdiff)
+        ok[good] |= cdiff[good] > cmin
+
+    if regex is not None:
+        # regular expression matching
+        rec = re.compile(regex)
+        targets = tab['target']
+        for n, targ in enumerate(targets):
+            if isinstance(targ, str):
+                m = rec.match(targ, re.I) \
+                    if nocase else \
+                       rec.match(targ)
+                if m: ok[n] = True
+
+    tab = tab[ok]
+
+    output = f"{target.replace(' ','_')}.xlsx"
+    format_ulogger_table(output, tab, instrument)
+    print(f'Wrote {len(tab)} runs to {output}')
diff --git a/setup.py b/setup.py
index 86a096c..1e9ef73 100755
--- a/setup.py
+++ b/setup.py
@@ -151,6 +151,7 @@
             'hls=hipercam.scripts.hls:hls',
             'hmeta=hipercam.scripts.hmeta:hmeta',
             'hplot=hipercam.scripts.hplot:hplot',
+            'logsearch=hipercam.scripts.logsearch:logsearch',
             'ltimes=hipercam.scripts.ltimes:ltimes',
             'ltrans=hipercam.scripts.ltrans:ltrans',
             'makebias=hipercam.scripts.makebias:makebias',