> For the complete documentation index, see [llms.txt](https://infinitode-docs.gitbook.io/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://infinitode-docs.gitbook.io/documentation/package-documentation/pywebscrapr-package-documentation/pywebscrapr-reference/pywebscrapr-functions.md).

# PyWebScrapr Functions

**Available functions:**

* [`scrape_text`](#scrape-text)`(links_file=None, links_array=None, output_file='output.txt', csv_output_file=None, remove_extra_whitespace=True, remove_duplicates=False, similarity_threshold=0.8, elements_to_scrape='text', follow_child_links=False, max_links_to_follow=None, print_progress=False, rate_limit=0, max_workers=5)`: Scrape textual content from the given links and save to specified output file(s).
* [`scrape_images`](#scrape-images)`(links_file=None, links_array=None, save_folder='images', min_width=None, min_height=None, max_width=None, max_height=None, follow_child_links=False, max_links_to_follow=None, print_progress=False, rate_limit=0, max_workers=5)`: Scrape image content from the given links and save it to the specified output folder.

***

### Scrape text

Scrape textual content from the given links and save to specified output file(s).

```python
Parameters:
    - links_file (str): Path to a file containing links, with each link on a new line.
    - links_array (list): List of links to scrape content from.
    - output_file (str): File to save the scraped content.
    - csv_output_file (str): File to save the URL and scraped information in CSV format.
    - remove_extra_whitespace (bool): If True, remove extra whitespace and empty lines from the output. Defaults to True.
    - remove_duplicates (bool): If True, remove duplicate or highly similar paragraphs. Defaults to False.
    - similarity_threshold (float): Similarity percentage (0-1) above which paragraphs are considered duplicates. Defaults to 0.8.
    - elements_to_scrape (str): Type of content to scrape. Defaults to 'text'. Options are:
        'text' (default) - Scrape visible textual content.
        'content' - Scrape the `content` attribute of meta tags.
        'unseen' - Scrape hidden or non-visible elements (e.g., meta tags, script data).
        'links' - Scrape `href` or `src` attributes of anchor and media elements.
    - follow_child_links (bool): If True, follow and scrape content from child links found on the page.
    - max_links_to_follow (int): Maximum number of links to follow when scraping child links.
    - print_progress (bool): If True, print progress updates to the console.
    - rate_limit (int): Seconds to wait between requests.
    - max_workers (int): Maximum number of threads to use.

Example:
    scrape_text(links_array=['https://example.com'], similarity_threshold=0.9)
```

### Scrape images

Scrape image content from the given links and save it to the specified output folder.

```python
Parameters:
    - links_file (str): Path to a file containing links, with each link on a new line.
    - links_array (list): List of links to scrape images from.
    - save_folder (str): Folder to save the scraped images.
    - min_width (int): Minimum width of images to include (optional).
    - min_height (int): Minimum height of images to include (optional).
    - max_width (int): Maximum width of images to include (optional).
    - max_height (int): Maximum height of images to include (optional).
    - follow_child_links (bool): If True, follow and scrape images from child links found on the page (optional).
    - max_links_to_follow (int): Maximum number of links to follow when scraping child links (optional).
    - print_progress (bool): If True, print progress updates to the console.
    - rate_limit (int): Seconds to wait between requests.
    - max_workers (int): Maximum number of threads to use.

Example:
from pywebscrapr import scrape_images

# Using links from a file and saving images to output_images folder.
scrape_images(links_file='links.txt', save_folder='output_images', min_width=100, min_height=100)
```