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| author | Karl Lorey <git@karllorey.com> | 2023-04-29 13:30:05 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-04-29 13:30:05 +0200 |
| commit | ddc9882f8814919dddacdd27332ffe0d993c4f7e (patch) | |
| tree | 2f66c870311808a98d7d81a823866269d35cc3e4 | |
| parent | 90551c0b5ec9099e217e62e0b732120db102c029 (diff) | |
| -rw-r--r-- | README.rst | 3 |
1 files changed, 2 insertions, 1 deletions
@@ -50,7 +50,7 @@ After you've defined the data you want to scrape, mlscraper will: Getting started --------------- -mlscraper is currently short before version 1.0. +mlscraper is currently shortly before version 1.0. If you want to check the new release, use :code:`pip install --pre mlscraper` to test the release candidate. You can also install the latest (unstable) development version of mlscraper via :code:`pip install git+https://github.com/lorey/mlscraper#egg=mlscraper`, @@ -74,6 +74,7 @@ To get started with a simple scraped, check out a basic sample below. assert resp.status_code == 200 # create a sample for Albert Einstein + # please add at least two samples in practice to get meaningful rules! training_set = TrainingSet() page = Page(resp.content) sample = Sample(page, {'name': 'Albert Einstein', 'born': 'March 14, 1879'}) |