docs: improving the code copy-paste experience and use less tokens for the agent skill
This commit is contained in:
@@ -27,23 +27,23 @@ The following table compares them and can be quickly used for guidance.
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## Parser configuration in all fetchers
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All fetchers share the same import method, as you will see in the upcoming pages
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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, AsyncFetcher, StealthyFetcher, DynamicFetcher
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```
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Then you use it right away without initializing like this, and it will use the default parser settings:
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```python
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>>> page = StealthyFetcher.fetch('https://example.com')
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page = StealthyFetcher.fetch('https://example.com')
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```
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If you want to configure the parser ([Selector class](parsing/main_classes.md#selector)) that will be used on the response before returning it for you, then do this first:
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> Fetcher.configure(adaptive=True, keep_comments=False, keep_cdata=False) # and the rest
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from scrapling.fetchers import Fetcher
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Fetcher.configure(adaptive=True, keep_comments=False, keep_cdata=False) # and the rest
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```
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or
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> Fetcher.adaptive=True
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>>> Fetcher.keep_comments=False
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>>> Fetcher.keep_cdata=False # and the rest
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from scrapling.fetchers import Fetcher
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Fetcher.adaptive=True
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Fetcher.keep_comments=False
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Fetcher.keep_cdata=False # and the rest
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```
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Then, continue your code as usual.
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@@ -59,19 +59,19 @@ If your use case requires a different configuration for each request/fetch, you
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## Response Object
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The `Response` object is the same as the [Selector](parsing/main_classes.md#selector) class, but it has additional details about the response, like response headers, status, cookies, etc., as shown below:
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> page = Fetcher.get('https://example.com')
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from scrapling.fetchers import Fetcher
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page = Fetcher.get('https://example.com')
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>>> page.status # HTTP status code
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>>> page.reason # Status message
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>>> page.cookies # Response cookies as a dictionary
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>>> page.headers # Response headers
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>>> page.request_headers # Request headers
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>>> page.history # Response history of redirections, if any
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>>> page.body # Raw response body as bytes
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>>> page.encoding # Response encoding
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>>> page.meta # Response metadata dictionary (e.g., proxy used). Mainly helpful with the spiders system.
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>>> page.captured_xhr # List of captured XHR/fetch responses (when capture_xhr is enabled on a browser session)
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page.status # HTTP status code
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page.reason # Status message
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page.cookies # Response cookies as a dictionary
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page.headers # Response headers
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page.request_headers # Request headers
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page.history # Response history of redirections, if any
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page.body # Raw response body as bytes
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page.encoding # Response encoding
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page.meta # Response metadata dictionary (e.g., proxy used). Mainly helpful with the spiders system.
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page.captured_xhr # List of captured XHR/fetch responses (when capture_xhr is enabled on a browser session)
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```
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All fetchers return the `Response` object.
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@@ -8,7 +8,7 @@ As we will explain later, to automate the page, you need some knowledge of [Play
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You have one primary way to import this Fetcher, which is the same for all fetchers.
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```python
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>>> from scrapling.fetchers import DynamicFetcher
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from scrapling.fetchers import DynamicFetcher
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```
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Check out how to configure the parsing options [here](choosing.md#parser-configuration-in-all-fetchers)
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@@ -6,7 +6,7 @@ The `Fetcher` class provides rapid and lightweight HTTP requests using the high-
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Import the Fetcher (same import pattern for all fetchers):
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```python
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>>> from scrapling.fetchers import Fetcher
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from scrapling.fetchers import Fetcher
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```
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Check out how to configure the parsing options [here](choosing.md#parser-configuration-in-all-fetchers)
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@@ -47,41 +47,41 @@ Examples are the best way to explain this:
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> Hence: `OPTIONS` and `HEAD` methods are not supported.
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#### GET
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> # Basic GET
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>>> page = Fetcher.get('https://example.com')
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>>> page = Fetcher.get('https://scrapling.requestcatcher.com/get', stealthy_headers=True)
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>>> page = Fetcher.get('https://scrapling.requestcatcher.com/get', proxy='http://username:password@localhost:8030')
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>>> # With parameters
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>>> page = Fetcher.get('https://example.com/search', params={'q': 'query'})
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>>>
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>>> # With headers
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>>> page = Fetcher.get('https://example.com', headers={'User-Agent': 'Custom/1.0'})
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>>> # Basic HTTP authentication
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>>> page = Fetcher.get("https://example.com", auth=("my_user", "password123"))
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>>> # Browser impersonation
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>>> page = Fetcher.get('https://example.com', impersonate='chrome')
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>>> # HTTP/3 support
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>>> page = Fetcher.get('https://example.com', http3=True)
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from scrapling.fetchers import Fetcher
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# Basic GET
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page = Fetcher.get('https://example.com')
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page = Fetcher.get('https://scrapling.requestcatcher.com/get', stealthy_headers=True)
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page = Fetcher.get('https://scrapling.requestcatcher.com/get', proxy='http://username:password@localhost:8030')
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# With parameters
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page = Fetcher.get('https://example.com/search', params={'q': 'query'})
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# With headers
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page = Fetcher.get('https://example.com', headers={'User-Agent': 'Custom/1.0'})
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# Basic HTTP authentication
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page = Fetcher.get("https://example.com", auth=("my_user", "password123"))
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# Browser impersonation
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page = Fetcher.get('https://example.com', impersonate='chrome')
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# HTTP/3 support
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page = Fetcher.get('https://example.com', http3=True)
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```
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And for asynchronous requests, it's a small adjustment
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```python
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>>> from scrapling.fetchers import AsyncFetcher
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>>> # Basic GET
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>>> page = await AsyncFetcher.get('https://example.com')
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>>> page = await AsyncFetcher.get('https://scrapling.requestcatcher.com/get', stealthy_headers=True)
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>>> page = await AsyncFetcher.get('https://scrapling.requestcatcher.com/get', proxy='http://username:password@localhost:8030')
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>>> # With parameters
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>>> page = await AsyncFetcher.get('https://example.com/search', params={'q': 'query'})
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>>>
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>>> # With headers
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>>> page = await AsyncFetcher.get('https://example.com', headers={'User-Agent': 'Custom/1.0'})
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>>> # Basic HTTP authentication
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>>> page = await AsyncFetcher.get("https://example.com", auth=("my_user", "password123"))
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>>> # Browser impersonation
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>>> page = await AsyncFetcher.get('https://example.com', impersonate='chrome110')
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>>> # HTTP/3 support
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>>> page = await AsyncFetcher.get('https://example.com', http3=True)
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from scrapling.fetchers import AsyncFetcher
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# Basic GET
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page = await AsyncFetcher.get('https://example.com')
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page = await AsyncFetcher.get('https://scrapling.requestcatcher.com/get', stealthy_headers=True)
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page = await AsyncFetcher.get('https://scrapling.requestcatcher.com/get', proxy='http://username:password@localhost:8030')
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# With parameters
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page = await AsyncFetcher.get('https://example.com/search', params={'q': 'query'})
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# With headers
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page = await AsyncFetcher.get('https://example.com', headers={'User-Agent': 'Custom/1.0'})
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# Basic HTTP authentication
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page = await AsyncFetcher.get("https://example.com", auth=("my_user", "password123"))
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# Browser impersonation
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page = await AsyncFetcher.get('https://example.com', impersonate='chrome110')
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# HTTP/3 support
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page = await AsyncFetcher.get('https://example.com', http3=True)
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```
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The `page` object in all cases is a [Response](choosing.md#response-object) object, which is a [Selector](parsing/main_classes.md#selector), so you can use it directly
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```python
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@@ -102,62 +102,62 @@ The `page` object in all cases is a [Response](choosing.md#response-object) obje
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```
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#### POST
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> # Basic POST
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>>> page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, params={'q': 'query'})
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>>> page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, stealthy_headers=True)
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>>> page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030', impersonate="chrome")
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>>> # Another example of form-encoded data
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>>> page = Fetcher.post('https://example.com/submit', data={'username': 'user', 'password': 'pass'}, http3=True)
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>>> # JSON data
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>>> page = Fetcher.post('https://example.com/api', json={'key': 'value'})
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from scrapling.fetchers import Fetcher
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# Basic POST
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page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, params={'q': 'query'})
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page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, stealthy_headers=True)
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page = Fetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030', impersonate="chrome")
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# Another example of form-encoded data
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page = Fetcher.post('https://example.com/submit', data={'username': 'user', 'password': 'pass'}, http3=True)
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# JSON data
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page = Fetcher.post('https://example.com/api', json={'key': 'value'})
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```
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And for asynchronous requests, it's a small adjustment
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```python
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>>> from scrapling.fetchers import AsyncFetcher
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>>> # Basic POST
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>>> page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'})
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>>> page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, stealthy_headers=True)
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>>> page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030', impersonate="chrome")
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>>> # Another example of form-encoded data
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>>> page = await AsyncFetcher.post('https://example.com/submit', data={'username': 'user', 'password': 'pass'}, http3=True)
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>>> # JSON data
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>>> page = await AsyncFetcher.post('https://example.com/api', json={'key': 'value'})
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from scrapling.fetchers import AsyncFetcher
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# Basic POST
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page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'})
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page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, stealthy_headers=True)
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page = await AsyncFetcher.post('https://scrapling.requestcatcher.com/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030', impersonate="chrome")
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# Another example of form-encoded data
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page = await AsyncFetcher.post('https://example.com/submit', data={'username': 'user', 'password': 'pass'}, http3=True)
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# JSON data
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page = await AsyncFetcher.post('https://example.com/api', json={'key': 'value'})
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```
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#### PUT
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> # Basic PUT
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>>> page = Fetcher.put('https://example.com/update', data={'status': 'updated'})
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>>> page = Fetcher.put('https://example.com/update', data={'status': 'updated'}, stealthy_headers=True, impersonate="chrome")
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>>> page = Fetcher.put('https://example.com/update', data={'status': 'updated'}, proxy='http://username:password@localhost:8030')
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>>> # Another example of form-encoded data
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>>> page = Fetcher.put("https://scrapling.requestcatcher.com/put", data={'key': ['value1', 'value2']})
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from scrapling.fetchers import Fetcher
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# Basic PUT
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page = Fetcher.put('https://example.com/update', data={'status': 'updated'})
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page = Fetcher.put('https://example.com/update', data={'status': 'updated'}, stealthy_headers=True, impersonate="chrome")
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page = Fetcher.put('https://example.com/update', data={'status': 'updated'}, proxy='http://username:password@localhost:8030')
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# Another example of form-encoded data
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page = Fetcher.put("https://scrapling.requestcatcher.com/put", data={'key': ['value1', 'value2']})
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```
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And for asynchronous requests, it's a small adjustment
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```python
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>>> from scrapling.fetchers import AsyncFetcher
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>>> # Basic PUT
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>>> page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'})
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>>> page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'}, stealthy_headers=True, impersonate="chrome")
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>>> page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'}, proxy='http://username:password@localhost:8030')
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>>> # Another example of form-encoded data
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>>> page = await AsyncFetcher.put("https://scrapling.requestcatcher.com/put", data={'key': ['value1', 'value2']})
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from scrapling.fetchers import AsyncFetcher
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# Basic PUT
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page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'})
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page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'}, stealthy_headers=True, impersonate="chrome")
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page = await AsyncFetcher.put('https://example.com/update', data={'status': 'updated'}, proxy='http://username:password@localhost:8030')
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# Another example of form-encoded data
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page = await AsyncFetcher.put("https://scrapling.requestcatcher.com/put", data={'key': ['value1', 'value2']})
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```
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#### DELETE
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```python
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>>> from scrapling.fetchers import Fetcher
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>>> page = Fetcher.delete('https://example.com/resource/123')
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>>> page = Fetcher.delete('https://example.com/resource/123', stealthy_headers=True, impersonate="chrome")
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>>> page = Fetcher.delete('https://example.com/resource/123', proxy='http://username:password@localhost:8030')
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from scrapling.fetchers import Fetcher
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page = Fetcher.delete('https://example.com/resource/123')
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page = Fetcher.delete('https://example.com/resource/123', stealthy_headers=True, impersonate="chrome")
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page = Fetcher.delete('https://example.com/resource/123', proxy='http://username:password@localhost:8030')
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```
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And for asynchronous requests, it's a small adjustment
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```python
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>>> from scrapling.fetchers import AsyncFetcher
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>>> page = await AsyncFetcher.delete('https://example.com/resource/123')
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>>> page = await AsyncFetcher.delete('https://example.com/resource/123', stealthy_headers=True, impersonate="chrome")
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>>> page = await AsyncFetcher.delete('https://example.com/resource/123', proxy='http://username:password@localhost:8030')
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from scrapling.fetchers import AsyncFetcher
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page = await AsyncFetcher.delete('https://example.com/resource/123')
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page = await AsyncFetcher.delete('https://example.com/resource/123', stealthy_headers=True, impersonate="chrome")
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page = await AsyncFetcher.delete('https://example.com/resource/123', proxy='http://username:password@localhost:8030')
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```
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## Session Management
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@@ -6,7 +6,7 @@
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You have one primary way to import this Fetcher, which is the same for all fetchers.
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```python
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>>> from scrapling.fetchers import StealthyFetcher
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from scrapling.fetchers import StealthyFetcher
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```
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Check out how to configure the parsing options [here](choosing.md#parser-configuration-in-all-fetchers)
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@@ -68,22 +68,21 @@ To extract the Questions button from the old design, a selector like `#hmenus >
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Testing the same selector in both versions:
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```python
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>> from scrapling import Fetcher
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>> selector = '#hmenus > div:nth-child(1) > ul > li:nth-child(1) > a'
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>> old_url = "https://web.archive.org/web/20100102003420/http://stackoverflow.com/"
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>> new_url = "https://stackoverflow.com/"
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>> Fetcher.configure(adaptive = True, adaptive_domain='stackoverflow.com')
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>>
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>> page = Fetcher.get(old_url, timeout=30)
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>> element1 = page.css(selector, auto_save=True)[0]
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>>
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>> # Same selector but used in the updated website
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>> page = Fetcher.get(new_url)
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>> element2 = page.css(selector, adaptive=True)[0]
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>>
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>> if element1.text == element2.text:
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from scrapling import Fetcher
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selector = '#hmenus > div:nth-child(1) > ul > li:nth-child(1) > a'
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old_url = "https://web.archive.org/web/20100102003420/http://stackoverflow.com/"
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new_url = "https://stackoverflow.com/"
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Fetcher.configure(adaptive = True, adaptive_domain='stackoverflow.com')
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page = Fetcher.get(old_url, timeout=30)
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element1 = page.css(selector, auto_save=True)[0]
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# Same selector but used in the updated website
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page = Fetcher.get(new_url)
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element2 = page.css(selector, adaptive=True)[0]
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if element1.text == element2.text:
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... print('Scrapling found the same element in the old and new designs!')
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'Scrapling found the same element in the old and new designs!'
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```
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The `adaptive_domain` argument is used here because Scrapling sees `archive.org` and `stackoverflow.com` as two different domains and would isolate their `adaptive` data. Passing `adaptive_domain` tells Scrapling to treat them as the same website for adaptive data storage.
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@@ -127,11 +126,11 @@ First, enable the `adaptive` feature by passing `adaptive=True` to the [Selector
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Examples:
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```python
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>>> from scrapling import Selector, Fetcher
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>>> page = Selector(html_doc, adaptive=True)
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from scrapling import Selector, Fetcher
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page = Selector(html_doc, adaptive=True)
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# OR
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>>> Fetcher.adaptive = True
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>>> page = Fetcher.get('https://example.com')
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Fetcher.adaptive = True
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page = Fetcher.get('https://example.com')
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```
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When using the [Selector](main_classes.md#selector) class, pass the URL of the website with the `url` argument so Scrapling can separate the properties saved for each element by domain.
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@@ -159,11 +158,11 @@ Elements can be manually saved, retrieved, and relocated within the `adaptive` f
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Example of getting an element by text:
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```python
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>>> element = page.find_by_text('Tipping the Velvet', first_match=True)
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element = page.find_by_text('Tipping the Velvet', first_match=True)
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```
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Save its unique properties using the `save` method. The identifier must be set manually (use a meaningful identifier):
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```python
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>>> page.save(element, 'my_special_element')
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page.save(element, 'my_special_element')
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||||
```
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Later, retrieve and relocate the element inside the page with `adaptive`:
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```python
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||||
@@ -131,14 +131,14 @@ Getting the attributes of the element
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```
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Access a specific attribute with any of the following
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||||
```python
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||||
>>> article.attrib['class']
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>>> article.attrib.get('class')
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>>> article['class'] # new in v0.3
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||||
article.attrib['class']
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article.attrib.get('class')
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article['class'] # new in v0.3
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```
|
||||
Check if the attributes contain a specific attribute with any of the methods below
|
||||
```python
|
||||
>>> 'class' in article.attrib
|
||||
>>> 'class' in article # new in v0.3
|
||||
'class' in article.attrib
|
||||
'class' in article # new in v0.3
|
||||
```
|
||||
Get the HTML content of the element
|
||||
```python
|
||||
@@ -279,13 +279,13 @@ In the [Selector](#selector) class, all methods/properties that should return a
|
||||
Starting with v0.4, all selection methods consistently return [Selector](#selector)/[Selectors](#selectors) objects, even for text nodes and attribute values. Text nodes (selected via `::text`, `/text()`, `::attr()`, `/@attr`) are wrapped in [Selector](#selector) objects. These text node selectors have `tag` set to `"#text"`, and their `text` property returns the text value. You can still access the text value directly, and all other properties return empty/default values gracefully.
|
||||
|
||||
```python
|
||||
>>> page.css('a::text') # -> Selectors (of text node Selectors)
|
||||
>>> page.xpath('//a/text()') # -> Selectors
|
||||
>>> page.css('a::text').get() # -> TextHandler (the first text value)
|
||||
>>> page.css('a::text').getall() # -> TextHandlers (all text values)
|
||||
>>> page.css('a::attr(href)') # -> Selectors
|
||||
>>> page.xpath('//a/@href') # -> Selectors
|
||||
>>> page.css('.price_color') # -> Selectors
|
||||
page.css('a::text') # -> Selectors (of text node Selectors)
|
||||
page.xpath('//a/text()') # -> Selectors
|
||||
page.css('a::text').get() # -> TextHandler (the first text value)
|
||||
page.css('a::text').getall() # -> TextHandlers (all text values)
|
||||
page.css('a::attr(href)') # -> Selectors
|
||||
page.xpath('//a/@href') # -> Selectors
|
||||
page.css('.price_color') # -> Selectors
|
||||
```
|
||||
|
||||
### Data extraction methods
|
||||
|
||||
@@ -346,8 +346,8 @@ It filters all elements in the current page/element in the following order:
|
||||
|
||||
### Examples
|
||||
```python
|
||||
>>> from scrapling.fetchers import Fetcher
|
||||
>>> page = Fetcher.get('https://quotes.toscrape.com/')
|
||||
from scrapling.fetchers import Fetcher
|
||||
page = Fetcher.get('https://quotes.toscrape.com/')
|
||||
```
|
||||
Find all elements with the tag name `div`.
|
||||
```python
|
||||
|
||||
Reference in New Issue
Block a user