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We present details of the Automated Radio Telescope Imaging Pipeline (ARTIP)and results of a sensitive blind search for HI and OH absorbers at $z<0.4$ and$z<0.7$, respectively. ARTIP is written in Python 3.6, extensively uses theCommon Astronomy Software Application (CASA) tools and tasks, and is designedto enable the geographically-distributed MeerKAT Absorption Line Survey (MALS)team to collaboratively process large volumes of radio interferometric data. Weapply it to the first MALS dataset obtained using the 64-dish MeerKAT radiotelescope and 32K channel mode of the correlator. With merely 40 minutes ontarget, we present the most sensitive spectrum of PKS1830-211 ever obtained andcharacterize the known HI ($z=0.19$) and OH ($z=0.89$) absorbers. We furtherdemonstrate ARTIP's capabilities to handle realistic observing scenarios byapplying it to a sample of 72 bright radio sources observed with the upgradedGiant Metrewave Radio Telescope (uGMRT) to blindly search for HI and OHabsorbers. We estimate the numbers of HI and OH absorbers per unit redshift tobe $n_{21}(z\sim0.18)<$0.14 and $n_{\rm OH}(z\sim0.40)<$0.12, respectively, andconstrain the cold gas covering factor of galaxies at large impact parameters(50 kpc $<\rho<$ 150 kpc) to be less than 0.022. Due to the small redshiftpath, $\Delta z\sim$13 for HI with column density$>5.4\times10^{19}$ cm$^{-2}$,the survey has probed only the outskirts of star-forming galaxies at $\rho>30$kpc. MALS with the expected $\Delta z\sim10^{3-4}$ will overcome thislimitation and provide stringent constraints on the cold gas fraction ofgalaxies in diverse environments over $0<z<1.5$.

Blind HI and OH absorption line search: first results with MALS and uGMRT processed using ARTIP