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ScrapeHero
74 lines
1.8 KiB
Markdown
74 lines
1.8 KiB
Markdown
# Nasdaq Finance Scraper
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This script will scrape Nasdaq.com to extract stock market data based on a ticker symbol of a company. If you would like to know more about
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this scraper you can check it out at this link https://www.scrapehero.com/scrape-nasdaq-stock-market-data/
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## Getting Started
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These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
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### Fields
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This nasdaq scraper can extract the fields below
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1. Best Bid/Ask
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2. 1 Year Target
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3. Share Volume
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4. 50 Day Avg. Daily Volume
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5. Previous Close
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6. 52 Week High/Low
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7. Market Cap
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8. P/E Ratio
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9.Forward P/E (1y)
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10. Earnings Per Share (EPS)
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11. Annualized Dividend
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12. Ex-Dividend Date
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13. Dividend Payment Date
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14. Current Yield
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15. Beta
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16. Open Price
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17. Open Date
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18. Close Price
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19. Close Date
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### Prerequisites
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For this web scraping tutorial using Python 3, we will need some packages for downloading and parsing the HTML.
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Below are the package requirements:
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- lxml
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- requests
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### Installation
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PIP to install the following packages in Python (https://pip.pypa.io/en/stable/installing/).
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Python Requests, to make requests and download the HTML content of the pages (http://docs.python-requests.org/en/master/user/install/).
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To install python request module:
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```
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pip3 install requests
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```
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Python LXML, for parsing the HTML Tree Structure using Xpaths (Learn how to install that here – http://lxml.de/installation.html)
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Installing lxml:
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```
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pip3 install lxml
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```
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## Running the scraper
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We would execute the code with the script name followed by the ticker symbol of the company’s stock data you would like. As an example
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here is the command to find the summary data for Apple Inc.
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```
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python3 masdaq_finance.py aapl
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```
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## Sample Output
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This will create a csv file:
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[Sample Output]()
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