Open
Conversation
MDR extractor is base on https://pypi.python.org/pypi/mdr/ which can detect the listing data automatically and extract listing data with scrapely annnotation supervision.
since sometimes the extract data is empty, this will make the validated false. but we still want to add to extracted listing data to indicate there are some data missing on the page. also fix a problem when the annotation was added to other records rather than seed record. fix it by propogating the annotations to aligned elements.
tpeng
force-pushed
the
mdr-extractor
branch
from
46b96ee to
1c80d2b
Compare
also fixed a typo for the group name saved in annotation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
add MdrExtractor to parse the listing data. the output will be a separated field with the name as the group name set in the annotation (using listingDataGroupName) and the value is a list of dict extracted from each matched record.