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sources/academy/webscraping/scraping_basics_python/13_platform.md

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slug: /scraping-basics-python/platform
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import Exercises from './_exercises.mdx';
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**In this lesson, we'll deploy our application to a scraping platform that automatically runs it daily. We'll also use the platform's API to retrieve and work with the results.**
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:::note Accessing data programmatically
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You don't need to click buttons to download the data. You can also retrieve it using [Apify's API](https://docs.apify.com/api/v2/dataset-items-get), the [`apify datasets`](https://docs.apify.com/cli/docs/reference#datasets) CLI command, or the [`apify`](https://docs.apify.com/api/client/python/reference/class/DatasetClientAsync) Python SDK.
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You don't need to click buttons to download the data. You can also retrieve it using [Apify's API](https://docs.apify.com/api/v2/dataset-items-get), the [`apify datasets`](https://docs.apify.com/cli/docs/reference#datasets) CLI command, or the [`apify`](https://docs.apify.com/api/client/python/docs/examples/retrieve-actor-data) Python SDK.
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<Exercises />
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## Exercises
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The final challenge of this course is about interacting with your scraper programmatically using the Apify SDK.
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:::danger Work in progress
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