Karim shoair commited on
Commit ·
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Parent(s): d7284eb
docs: update the fetcher page
Browse files- docs/fetching/static.md +118 -30
docs/fetching/static.md
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# Introduction
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The `Fetcher` class provides
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## Basic Usage
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You have one primary way to import this Fetcher, which is the same for all fetchers.
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### Shared arguments
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All methods for making requests here share some arguments, so let's discuss them first.
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- **url**: The
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- **proxy**: As the name implies, the proxy for this request is used to route all traffic (HTTP and HTTPS). The format accepted here is `http://username:password@localhost:8030`.
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-
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### HTTP Methods
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> Hence: `OPTIONS` and `HEAD` methods are not supported.
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#### GET
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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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```
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And for asynchronous requests, it's a small adjustment
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```python
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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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```
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Needless to say, the `page` object in all cases is [Response](choosing.md#response-object) object, which is
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```python
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>>> page.css('.something.something')
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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://httpbin.org/post', data={'key': 'value'})
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>>> page = Fetcher.post('https://httpbin.org/post', data={'key': 'value'}, stealthy_headers=True, follow_redirects=True)
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>>> page = Fetcher.post('https://httpbin.org/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030')
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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'})
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>>> # JSON data
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>>> page = Fetcher.post('https://example.com/api', json={'key': 'value'})
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>>> # Uploading file
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>>> r = Fetcher.post("https://httpbin.org/post", files={'upload-file': open('something.xlsx', 'rb')})
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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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>>> # Basic POST
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>>> page = await AsyncFetcher.post('https://httpbin.org/post', data={'key': 'value'})
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>>> page = await AsyncFetcher.post('https://httpbin.org/post', data={'key': 'value'}, stealthy_headers=True, follow_redirects=True)
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>>> page = await AsyncFetcher.post('https://httpbin.org/post', data={'key': 'value'}, proxy='http://username:password@localhost:8030')
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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'})
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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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>>> # Uploading file
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>>> r = await AsyncFetcher.post("https://httpbin.org/post", files={'upload-file': open('something.xlsx', 'rb')})
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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, follow_redirects=True)
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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://httpbin.org/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, follow_redirects=True)
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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://httpbin.org/put", data={'key': ['value1', 'value2']})
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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, follow_redirects=True)
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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, follow_redirects=True)
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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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## Examples
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Some well-rounded examples to aid newcomers to Web Scraping
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link = item.css_first('a')
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if link:
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menu[link.text] = {
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'url': link
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'has_submenu': bool(item.css('.submenu'))
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}
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Use `Fetcher` when:
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- Need
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- Want minimal overhead
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- Don't need JavaScript
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Use other fetchers when:
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- Need browser automation.
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- Need advanced anti-bot/stealth.
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- Need JavaScript support
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# Introduction
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The `Fetcher` class provides rapid and lightweight HTTP requests using the high-performance `curl_cffi` library with a lot of stealth capabilities.
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## Basic Usage
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You have one primary way to import this Fetcher, which is the same for all fetchers.
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### Shared arguments
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All methods for making requests here share some arguments, so let's discuss them first.
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- **url**: The targeted URL
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- **stealthy_headers**: If enabled (default), it creates and adds real browser headers. It also sets the referer header as if this request came from a Google search of the URL's domain.
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- **follow_redirects**: As the name implies, tell the fetcher to follow redirections. **Enabled by default**
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- **timeout**: The number of seconds to wait for each request to be finished. **Defaults to 30 seconds**.
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- **retries**: The number of retries that the fetcher will do for failed requests. **Defaults to three retries**.
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- **retry_delay**: Number of seconds to wait between retry attempts. **Defaults to 1 second**.
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- **impersonate**: Impersonate specific browsers' TLS fingerprints. Accepts browser strings like `"chrome110"`, `"firefox102"`, `"safari15_5"` to use specific versions or `"chrome"`, `"firefox"`, `"safari"`, `"edge"` to automatically use the latest version available. This makes your requests appear as if they're coming from real browsers at the TLS level. **Defaults to the latest available Chrome version.**
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- **http3**: Use HTTP/3 protocol for requests. **Defaults to False**. It might be problematic if used with `impersonate`.
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- **cookies**: Cookies to use in the request. Can be a dictionary of `name→value` or a list of dictionaries.
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- **proxy**: As the name implies, the proxy for this request is used to route all traffic (HTTP and HTTPS). The format accepted here is `http://username:password@localhost:8030`.
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- **proxy_auth**: HTTP basic auth for proxy, tuple of (username, password).
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- **proxies**: Dict of proxies to use. Format: `{"http": proxy_url, "https": proxy_url}`.
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- **headers**: Headers to include in the request. Can override any header generated by the `stealthy_headers` argument
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- **max_redirects**: Maximum number of redirects. **Defaults to 30**, use -1 for unlimited.
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- **verify**: Whether to verify HTTPS certificates. **Defaults to True**.
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- **cert**: Tuple of (cert, key) filenames for the client certificate.
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- **selector_config**: A dictionary of custom parsing arguments to be used when creating the final `Selector`/`Response` class.
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> Note: <br/>
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> 1. The currently available browsers to impersonate are (`"edge"`, `"chrome"`, `"chrome_android"`, `"safari"`, `"safari_beta"`, `"safari_ios"`, `"safari_ios_beta"`, `"firefox"`, `"tor"`)<br/>
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> 2. The available browsers to impersonate and their corresponding versions are automatically displayed in the argument autocompletion and updated automatically with each `curl_cffi` update.
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Other than this, for further customization, you can pass any arguments that `curl_cffi` supports for any method if that method doesn't already support it.
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### HTTP Methods
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There are additional arguments for each method, depending on the method, such as `params` for GET requests and `data`/`json` for POST/PUT/DELETE requests.
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Examples are the best way to explain this, as follows.
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> Hence: `OPTIONS` and `HEAD` methods are not supported.
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#### GET
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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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>>> 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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Needless to say, the `page` object in all cases is [Response](choosing.md#response-object) object, which is a [Selector](../parsing/main_classes.md#selector) as we said, so you can use it directly
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```python
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>>> page.css('.something.something')
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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://httpbin.org/post', data={'key': 'value'}, params={'q': 'query'})
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>>> page = Fetcher.post('https://httpbin.org/post', data={'key': 'value'}, stealthy_headers=True, follow_redirects=True)
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>>> page = Fetcher.post('https://httpbin.org/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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>>> # Basic POST
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>>> page = await AsyncFetcher.post('https://httpbin.org/post', data={'key': 'value'})
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>>> page = await AsyncFetcher.post('https://httpbin.org/post', data={'key': 'value'}, stealthy_headers=True, follow_redirects=True)
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>>> page = await AsyncFetcher.post('https://httpbin.org/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, follow_redirects=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://httpbin.org/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, follow_redirects=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://httpbin.org/put", data={'key': ['value1', 'value2']})
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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, follow_redirects=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, follow_redirects=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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For making multiple requests with the same configuration, use the `FetcherSession` class. It can be used in both synchronous and asynchronous code without issue; the class detects and changes the session type automatically without requiring a different import.
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The `FetcherSession` class can accept nearly all the arguments that the methods can take, which enables you to specify a config for the entire session and later choose a different config for one of the requests effortlessly, as you will see in the following examples.
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```python
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from scrapling.fetchers import FetcherSession
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# Create a session with default configuration
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with FetcherSession(
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impersonate='chrome',
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http3=True,
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stealthy_headers=True,
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timeout=30,
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retries=3
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) as session:
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# Make multiple requests with the same settings
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page1 = session.get('https://httpbin.org/get')
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page2 = session.post('https://httpbin.org/post', data={'key': 'value'})
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page3 = session.get('https://api.github.com/events')
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# All requests share the same session and connection pool
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```
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And here's an async example
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```python
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async with FetcherSession(impersonate='firefox', http3=True) as session:
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# All standard HTTP methods available
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response = async session.get('https://example.com')
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response = async session.post('https://httpbin.org/post', json={'data': 'value'})
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response = async session.put('https://httpbin.org/put', data={'update': 'info'})
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response = async session.delete('https://httpbin.org/delete')
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```
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+
or better
|
| 197 |
+
```python
|
| 198 |
+
import asyncio
|
| 199 |
+
from scrapling.fetchers import FetcherSession
|
| 200 |
+
|
| 201 |
+
# Async session usage
|
| 202 |
+
async with FetcherSession(impersonate="safari") as session:
|
| 203 |
+
urls = ['https://example.com/page1', 'https://example.com/page2']
|
| 204 |
+
|
| 205 |
+
tasks = [
|
| 206 |
+
session.get(url) for url in urls
|
| 207 |
+
]
|
| 208 |
+
|
| 209 |
+
pages = await asyncio.gather(*tasks)
|
| 210 |
+
```
|
| 211 |
+
|
| 212 |
+
The `Fetcher` class uses `FetcherSession` to create a temporary session with each request you make.
|
| 213 |
+
|
| 214 |
+
### Session Benefits
|
| 215 |
+
|
| 216 |
+
- **A lot faster**: 10 times faster than creating a single session for each request
|
| 217 |
+
- **Cookie persistence**: Automatic cookie handling across requests
|
| 218 |
+
- **Resource efficiency**: Better memory and CPU usage for multiple requests
|
| 219 |
+
- **Centralized configuration**: Single place to manage request settings
|
| 220 |
+
|
| 221 |
## Examples
|
| 222 |
Some well-rounded examples to aid newcomers to Web Scraping
|
| 223 |
|
|
|
|
| 357 |
link = item.css_first('a')
|
| 358 |
if link:
|
| 359 |
menu[link.text] = {
|
| 360 |
+
'url': link['href'],
|
| 361 |
'has_submenu': bool(item.css('.submenu'))
|
| 362 |
}
|
| 363 |
|
|
|
|
| 368 |
|
| 369 |
Use `Fetcher` when:
|
| 370 |
|
| 371 |
+
- Need rapid HTTP requests.
|
| 372 |
+
- Want minimal overhead.
|
| 373 |
+
- Don't need JavaScript execution (the website can be scraped through requests).
|
| 374 |
+
- Need some stealth features (ex, the targeted website is using protection but doesn't use JavaScript challenges).
|
| 375 |
+
|
| 376 |
+
Use `FetcherSession` when:
|
| 377 |
+
|
| 378 |
+
- Making multiple requests to the same or different sites.
|
| 379 |
+
- Need to maintain cookies/authentication between requests.
|
| 380 |
+
- Want connection pooling for better performance.
|
| 381 |
+
- Require consistent configuration across requests.
|
| 382 |
+
- Working with APIs that require a session state.
|
| 383 |
|
| 384 |
Use other fetchers when:
|
| 385 |
|
| 386 |
- Need browser automation.
|
| 387 |
+
- Need advanced anti-bot/stealth capabilities.
|
| 388 |
+
- Need JavaScript support or interacting with dynamic content
|