Monitor TensorFlow bug reports
Created by
Hanna Nosova
Scrape open bug-labeled issues from tensorflow/tensorflow for ML framework reliability and support trend analysis.
GitHub Issues & Pull Requests Scraperfetch_cat/github-issues-pull-requests-scraper
Repository
Type
Number
Title
+9 fieldsTextNumberBooleanListObject
Input
Repositories:tensorflow/tensorflow
State:open
Include issues:true
Include pull requests:false
Labels:type:bug
Maximum issues / pull requests:5
Output fields
Repository
Type
Number
Title
State
URL
Author
Labels
Comments
Created
Updated
Source query
Scraped
Sign up on Apify01
Create your Apify account to access the GitHub Issues & Pull Requests Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
