docs: adding a new Pick Your Path section to the overview page
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@@ -23,7 +23,7 @@ Its parser learns from website changes and automatically relocates your elements
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Blazing fast crawls with real-time stats and streaming. Built by Web Scrapers for Web Scrapers and regular users, there's something for everyone.
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```python
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from scrapling.fetchers import Fetcher, AsyncFetcher, StealthyFetcher, DynamicFetcher
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from scrapling.fetchers import Fetcher, StealthyFetcher, DynamicFetcher
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StealthyFetcher.adaptive = True
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page = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True) # Fetch website under the radar!
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products = page.css('.product', auto_save=True) # Scrape data that survives website design changes!
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@@ -1,3 +1,17 @@
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## Pick Your Path
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Not sure where to start? Pick the path that matches what you're trying to do:
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| I want to... | Start here |
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|:---|:---|
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| **Parse HTML** I already have | [Querying elements](parsing/selection.md) — CSS, XPath, and text-based selection |
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| **Quickly scrape a page** and prototype | Pick a [fetcher](fetching/choosing.md) and test right away, or launch the [interactive shell](cli/interactive-shell.md) |
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| **Build a crawler** that scales | [Spiders](spiders/getting-started.md) — concurrent, multi-session crawls with pause/resume |
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| **Scrape without writing code** | [CLI extract commands](cli/extract-commands.md) or hook up the [MCP server](ai/mcp-server.md) to your favourite AI tool |
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| **Migrate** from another library | [From BeautifulSoup](tutorials/migrating_from_beautifulsoup.md) or [Scrapy comparison](spiders/architecture.md#comparison-with-scrapy) |
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---
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We will start by quickly reviewing the parsing capabilities. Then we will fetch websites using custom browsers, make requests, and parse the responses.
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Here's an HTML document generated by ChatGPT that we will be using as an example throughout this page:
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