Data Extraction retrieves structured or unstructured data from various sources, such as websites, databases, documents, or APIs. This information can be in text, images, files, or any other digital format. The extracted data is then typically transformed and stored for analysis or further use.
The primary purpose of data extraction is to make raw data accessible and usable for analytics, business intelligence, and AI/ML applications. Organizations extract data to consolidate information from disparate sources, clean and standardize it, and prepare it for deeper analysis.
| Tool | Description |
|---|---|
| Scrapy | Scrapy, a fast high-level web crawling & scraping framework for Python. |
| BeautifulSoup4 | Python library designed for quick turnaround projects like screen-scraping. |
| Tabula | Tool for liberating data tables trapped inside PDF files |
| Maxun | Open-source no-code web data extraction platform |