Python SDK for Spider Cloud API
Project description
Spider Cloud Python SDK
The Spider Cloud Python SDK offers a toolkit for straightforward website scraping, crawling at scale, and other utilities like extracting links and taking screenshots, enabling you to collect data formatted for compatibility with language models (LLMs). It features a user-friendly interface for seamless integration with the Spider Cloud API.
Installation
To install the Spider Cloud Python SDK, you can use pip:
pip install spider-client
Usage
- Get an API key from spider.cloud
- Set the API key as an environment variable named
SPIDER_API_KEYor pass it as a parameter to theSpiderclass.
Here's an example of how to use the SDK:
from spider import Spider
# Initialize the Spider with your API key
app = Spider(api_key='your_api_key')
# Scrape a single URL
url = 'https://spider.cloud'
scraped_data = app.scrape_url(url)
# Crawl a website
crawler_params = {
'limit': 1,
'proxy_enabled': True,
'store_data': False,
'metadata': False,
'request': 'http'
}
crawl_result = app.crawl_url(url, params=crawler_params)
Scraping a URL
To scrape data from a single URL:
url = 'https://example.com'
scraped_data = app.scrape_url(url)
Crawling a Website
To automate crawling a website:
url = 'https://example.com'
crawl_params = {
'limit': 200,
'request': 'smart_mode'
}
crawl_result = app.crawl_url(url, params=crawl_params)
Crawl Streaming
Stream crawl the website in chunks to scale.
def handle_json(json_obj: dict) -> None:
assert json_obj["url"] is not None
url = 'https://example.com'
crawl_params = {
'limit': 200,
'store_data': False
}
response = app.crawl_url(
url,
params=params,
stream=True,
callback=handle_json,
)
Search
Perform a search for websites to crawl or gather search results:
query = 'a sports website'
crawl_params = {
'request': 'smart_mode',
'search_limit': 5,
'limit': 5,
'fetch_page_content': True
}
crawl_result = app.search(query, params=crawl_params)
Retrieving Links from a URL(s)
Extract all links from a specified URL:
url = 'https://example.com'
links = app.links(url)
Transform
Transform HTML to markdown or text lightning fast:
data = [ { 'html': '<html><body><h1>Hello world</h1></body></html>' } ]
params = {
'readability': False,
'return_format': 'markdown',
}
result = app.transform(data, params=params)
Taking Screenshots of a URL(s)
Capture a screenshot of a given URL:
url = 'https://example.com'
screenshot = app.screenshot(url)
Extracting Contact Information
Extract contact details from a specified URL:
url = 'https://example.com'
contacts = app.extract_contacts(url)
Labeling Data from a URL(s)
Label the data extracted from a particular URL:
url = 'https://example.com'
labeled_data = app.label(url)
Checking Crawl State
You can check the crawl state of the website:
url = 'https://example.com'
state = app.get_crawl_state(url)
Downloading files
You can download the results of the website:
url = 'https://example.com'
params = {
'page': 0,
'limit': 100,
'expiresIn': 3600 # Optional, add if needed
}
stream = True
state = app.create_signed_url(url, params, stream)
Checking Available Credits
You can check the remaining credits on your account:
credits = app.get_credits()
Data Operations
The Spider client can now interact with specific data tables to create, retrieve, and delete data.
Retrieve Data from a Table
To fetch data from a specified table by applying query parameters:
table_name = 'pages'
query_params = {'limit': 20 }
response = app.data_get(table_name, query_params)
print(response)
Delete Data from a Table
To delete data from a specified table based on certain conditions:
table_name = 'websites'
delete_params = {'domain': 'www.example.com'}
response = app.data_delete(table_name, delete_params)
print(response)
Streaming
If you need to stream the request use the third param:
url = 'https://example.com'
crawler_params = {
'limit': 1,
'proxy_enabled': True,
'store_data': False,
'metadata': False,
'request': 'http'
}
links = app.links(url, crawler_params, True)
Content-Type
The following Content-type headers are supported using the fourth param:
application/jsontext/csvapplication/xmlapplication/jsonl
url = 'https://example.com'
crawler_params = {
'limit': 1,
'proxy_enabled': True,
'store_data': False,
'metadata': False,
'request': 'http'
}
# stream json lines back to the client
links = app.crawl(url, crawler_params, True, "application/jsonl")
Error Handling
The SDK handles errors returned by the Spider Cloud API and raises appropriate exceptions. If an error occurs during a request, an exception will be raised with a descriptive error message.
Contributing
Contributions to the Spider Cloud Python SDK are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request on the GitHub repository.
License
The Spider Cloud Python SDK is open-source and released under the MIT License.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file spider-client-0.1.23.tar.gz.
File metadata
- Download URL: spider-client-0.1.23.tar.gz
- Upload date:
- Size: 15.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fc4e00bca2ccd0087842fc698763a1ebe90ede7a2f1ddfcfcd2d11c5cd3146bb |
|
| MD5 | edcb800b6ad58c9b9a9ec69c1978a953 |
|
| BLAKE2b-256 | 1a5d0e79598257613be7f03288cc56e71492be0f98f443c37e533b6cbc5328f0 |
