Solving Response [403] HTTP Forbidden Error: Scraping SEC EDGAR : Emily Rosemary Collins

Solving Response [403] HTTP Forbidden Error: Scraping SEC EDGAR
by: Emily Rosemary Collins
blow post content copied from  Be on the Right Side of Change
click here to view original post

5/5 - (1 vote)

The Securities and Exchange Commission’s (SEC) Electronic Data Gathering, Analysis, and Retrieval system, known as EDGAR, serves as a rich source of information. This comprehensive database houses financial reports and statements that companies are legally required to disclose, such as a quarterly report filed by institutional investment managers.

However, when attempting to extract data from EDGAR via web scraping, you might encounter a stumbling block: an HTTPError that reads, “HTTP Error 403: Forbidden.”

This is a common issue faced by many data enthusiasts and researchers trying to access data programmatically from the EDGAR database.

Understanding the Error

HTTP Error 403, often termed as a ‘Forbidden’ error, is an HTTP status code signifying that the server understood the request but refuses to authorize it. This doesn’t necessarily mean the requester did something wrong; rather, it implies that accessing the required resource is forbidden for some reason.

Screenshot: Accessing the page may work in the browser but not in your Python code.

When you encounter an HTTP 403 error while accessing the EDGAR 13F filings, it means the EDGAR server has denied your request to download the data. This is typically because the request appears to be from a script or a bot rather than a human using a web browser.

Bypassing the Error

One common workaround for the 403 error is to modify the HTTP request’s user-agent header to imitate a web browser. Web servers use the user-agent header to identify the client making the request and can sometimes restrict access based on this information.

Here is a Python example using the requests library:

import requests

url = '' # Put your target URL here
headers = {'User-Agent': 'Mozilla/5.0'}
response = requests.get(url, headers=headers)

In this example, we set the User-Agent to mimic a common web browser, effectively tricking the server into treating the script as a regular user.

👩‍💻 Recommended: Python Requests Library – Your First HTTP Request in Python

Caution and Consideration

While this technique may help bypass the 403 error, it’s crucial to emphasize that it should be used responsibly. The SEC might have legitimate reasons for preventing certain types of access to their system. Overuse or misuse of this workaround might lead to IP blocking or other consequences.

Moreover, remember that it’s important to respect the terms of service of the website you’re accessing and adhere to any rate limits or access restrictions. Before you use scraping techniques, it’s advisable to review the SEC’s EDGAR access rules and usage guidelines.

👩‍💻 Recommended: Is Web Scraping Legal?

June 13, 2023 at 07:22PM
Click here for more details...

The original post is available in Be on the Right Side of Change by Emily Rosemary Collins
this post has been published as it is through automation. Automation script brings all the top bloggers post under a single umbrella.
The purpose of this blog, Follow the top Salesforce bloggers and collect all blogs in a single place through automation.