5c4b3e8f8a
This will enable building using 'python -m build', without impacting the utility of setup.py, also provide a base for other build tools and automation. |
||
---|---|---|
.. | ||
build/lib/firecrawl | ||
dist | ||
firecrawl | ||
firecrawl_py.egg-info | ||
.pylintrc | ||
example.py | ||
pyproject.toml | ||
README.md | ||
requirements.txt | ||
setup.py |
Firecrawl Python SDK
The Firecrawl Python SDK is a library that allows you to easily scrape and crawl websites, and output the data in a format ready for use with language models (LLMs). It provides a simple and intuitive interface for interacting with the Firecrawl API.
Installation
To install the Firecrawl Python SDK, you can use pip:
pip install firecrawl-py
Usage
- Get an API key from firecrawl.dev
- Set the API key as an environment variable named
FIRECRAWL_API_KEY
or pass it as a parameter to theFirecrawlApp
class.
Here's an example of how to use the SDK:
from firecrawl import FirecrawlApp
# Initialize the FirecrawlApp with your API key
app = FirecrawlApp(api_key='your_api_key')
# Scrape a single URL
url = 'https://mendable.ai'
scraped_data = app.scrape_url(url)
# Crawl a website
crawl_url = 'https://mendable.ai'
params = {
'pageOptions': {
'onlyMainContent': True
}
}
crawl_result = app.crawl_url(crawl_url, params=params)
Scraping a URL
To scrape a single URL, use the scrape_url
method. It takes the URL as a parameter and returns the scraped data as a dictionary.
url = 'https://example.com'
scraped_data = app.scrape_url(url)
Extracting structured data from a URL
With LLM extraction, you can easily extract structured data from any URL. We support pydantic schemas to make it easier for you too. Here is how you to use it:
class ArticleSchema(BaseModel):
title: str
points: int
by: str
commentsURL: str
class TopArticlesSchema(BaseModel):
top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")
data = app.scrape_url('https://news.ycombinator.com', {
'extractorOptions': {
'extractionSchema': TopArticlesSchema.model_json_schema(),
'mode': 'llm-extraction'
},
'pageOptions':{
'onlyMainContent': True
}
})
print(data["llm_extraction"])
Search for a query
Used to search the web, get the most relevant results, scrap each page and return the markdown.
query = 'what is mendable?'
search_result = app.search(query)
Crawling a Website
To crawl a website, use the crawl_url
method. It takes the starting URL and optional parameters as arguments. The params
argument allows you to specify additional options for the crawl job, such as the maximum number of pages to crawl, allowed domains, and the output format.
The wait_until_done
parameter determines whether the method should wait for the crawl job to complete before returning the result. If set to True
, the method will periodically check the status of the crawl job until it is completed or the specified timeout
(in seconds) is reached. If set to False
, the method will return immediately with the job ID, and you can manually check the status of the crawl job using the check_crawl_status
method.
crawl_url = 'https://example.com'
params = {
'crawlerOptions': {
'excludes': ['blog/*'],
'includes': [], # leave empty for all pages
'limit': 1000,
},
'pageOptions': {
'onlyMainContent': True
}
}
crawl_result = app.crawl_url(crawl_url, params=params, wait_until_done=True, timeout=5)
If wait_until_done
is set to True
, the crawl_url
method will return the crawl result once the job is completed. If the job fails or is stopped, an exception will be raised.
Checking Crawl Status
To check the status of a crawl job, use the check_crawl_status
method. It takes the job ID as a parameter and returns the current status of the crawl job.
job_id = crawl_result['jobId']
status = app.check_crawl_status(job_id)
Error Handling
The SDK handles errors returned by the Firecrawl API and raises appropriate exceptions. If an error occurs during a request, an exception will be raised with a descriptive error message.
Running the Tests with Pytest
To ensure the functionality of the Firecrawl Python SDK, we have included end-to-end tests using pytest
. These tests cover various aspects of the SDK, including URL scraping, web searching, and website crawling.
Running the Tests
To run the tests, execute the following commands:
Install pytest:
pip install pytest
Run:
pytest firecrawl/__tests__/e2e_withAuth/test.py
Contributing
Contributions to the Firecrawl 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 Firecrawl Python SDK is open-source and released under the MIT License.