Encountering the DataDome 403 Forbidden error is a common challenge for web scrapers. DataDome, a robust bot protection service, uses advanced techniques to identify and block automated traffic. This guide will provide a comprehensive solution to solve the DataDome 403 Forbidden error, ensuring uninterrupted access to the desired content.
Table of Content
- What Is Datadome and the 403 Forbidden error
- What Causes DataDome 403 Forbidden Error in Web Scraping?
- How to Solve DataDome 403 Forbidden Error
- Using Capsolver Solve 403 Forbidden Error
- Use High-Quality Proxies
- Modify Device Fingerprints
- Monitor and Adjust Your Setup
- Conclusion
What Is Datadome and the 403 Forbidden error
DataDome is a leading bot protection and cybersecurity solution designed to detect and mitigate automated threats in real-time
DataDome's key features include:
- AI-Powered Detection: Uses advanced machine learning models to differentiate between human and bot traffic.
- Real-Time Protection: Continuously monitors and protects web applications, mobile apps, and APIs.
- Comprehensive Coverage: Secures various digital touchpoints including websites, mobile apps, and APIs from automated threats.
- Adaptive Security: Continuously evolves to address new and emerging threats.
Understanding the 403 Forbidden Error
The 403 Forbidden error is an HTTP status code that indicates that the server understands the request but refuses to authorize it. When DataDome is involved, this error typically signifies that the request has been identified as potentially malicious or coming from an automated source, and access to the requested resource is blocked.
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What Causes DataDome 403 Forbidden Error in Web Scraping?
To solve the problem, we must first understand what is causing it. Typically DataDome 403 Forbidden errors occur when DataDome's security measures detect and block web scraping activity. This can happen for a variety of reasons:
-
IP Blocking
When you frequently scrape web content, your IP address may be detected and blocked. Using low-quality proxy IPs can also result in your access requests being denied with a 403 status code. To mitigate this, consider using high-quality, rotating proxies to distribute your requests and avoid detection. -
Device Environment Detection
DataDome monitors the environment of the device you are using, including details such as GPU information and Canvas fingerprints. If your device environment appears abnormal, this can lead to your access requests being denied with a 403 status code. Furthermore, if your device performs any suspicious activities, DataDome may permanently ban your device. To avoid detection, ensure that your device environment mimics a typical user setup and avoid any unusual configurations or behaviors. -
Headless Browser Detection
DataDome inspects your browser environment to identify headless browsers. If you are using Puppeteer or Selenium to operate a headless browser, DataDome will recognize this as an abnormal environment. To bypass this detection, you can attempt to make your headless browser appear as a regular browser by modifying browser settings and behaviors, such as enabling JavaScript, setting user-agent strings, and managing cookies and local storage in a manner consistent with normal user activity.
How to Solve DataDome 403 Forbidden Error
Hitting a DataDome 403 Forbidden error could prevent you from accessing the data you need, and this can turn web scraping into a very frustrating endeavour. So after understanding why you're experiencing these issues, we'll outline a few effective ways to resolve the issue and start with the most efficient and easy method.
1. Using Capsolver Solve 403 Forbidden Error
The commonly recommended way to solve CAPTCHA is to use a third-party solution, which can be implanted into your daily workflow using an api to make the 403 as invisible as it exists. One of the best is CapSolver, which is a machine learning based CAPTCHA recognition solution that can easily solve DataDome and the annoying 403 problem within 3-5 seconds
To solve CAPTCHA using CapSolver, the Python sample code is as follows:
# -*- coding: utf-8 -*-
import requests
import time
api_key = "API_KEY" # TODO: your api key
proxy = "host:port:name:pass" # TODO: your proxy
page_url = "https://www.targetsite.com/" # TODO: target site
user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36"
def get_token(captcha_url):
print("call capsolver...")
data = {
"clientKey": api_key,
"task": {
"type": 'DatadomeSliderTask',
"websiteURL": page_url,
"captchaUrl": captcha_url,
"userAgent": user_agent,
"proxy": proxy,
},
}
uri = 'https://api.capsolver.com/createTask'
res = requests.post(uri, json=data)
resp = res.json()
task_id = resp.get('taskId')
if not task_id:
print("create task error:", res.text)
return
while True:
time.sleep(1)
data = {"clientKey": api_key, "taskId": task_id}
res = requests.post('https://api.capsolver.com/getTaskResult', json=data)
resp = res.json()
status = resp.get('status', '')
if status == "ready":
cookie = resp['solution']['cookie']
cookie = cookie.split(';')[0].split('=')[1]
print("successfully got cookie:", cookie)
return cookie
if status == "failed" or resp.get("errorId"):
print("failed to get cookie:", res.text)
return
print('solve datadome status:', status)
def format_proxy(px: str):
if '@' not in px:
sp = px.split(':')
if len(sp) == 4:
px = f'{sp[2]}:{sp[3]}@{sp[0]}:{sp[1]}'
return {"http": f"http://{px}", "https": f"http://{px}"}
def request_site(cookie):
headers = {
'content-type': 'application/json',
'user-agent': user_agent,
'accept': 'application/json, text/plain, */*',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'referer': page_url,
'accept-encoding': 'gzip, deflate, br, zstd',
'accept-language': 'en-US,en;q=0.9',
}
if cookie:
headers['cookie'] = "datadome=" + cookie
print("request url:", page_url)
response = requests.get(page_url, headers=headers, proxies=format_proxy(proxy))
print("response status_code:", response.status_code)
if response.status_code == 403:
resp = response.json()
print("captcha url: ", resp['url'])
return resp['url']
else:
print('cookie is good!')
return
def main():
url = request_site("")
if not url:
return
if 't=bv' in url:
print("blocked captcha url is not supported")
return
cookie = get_token(url)
if not cookie:
return
request_site(cookie)
if __name__ == '__main__':
main()
2. Use High-Quality Proxies
Avoid Low-Quality Proxies: Using low-quality or free proxies can easily get detected and blocked by DataDome. Invest in high-quality, rotating proxies that can distribute your requests across multiple IP addresses to avoid detection. also by Rotating IP AddressesRegularly can prevent any single IP from being flagged for suspicious activity.
3. Modify Device Fingerprints
- Spoof Device Information: Modify your device's fingerprint by altering GPU information, Canvas fingerprints, and other hardware details to appear more like a regular user.
- Avoid Headless Browsers: Headless browsers are easily detected. If you must use them, configure them to appear as though they have a graphical interface. This can include setting proper user-agent strings, enabling images, and ensuring that JavaScript is fully operational.
4. Monitor and Adjust Your Setup
- Regularly Check for Changes: DataDome frequently updates its detection mechanisms. Regularly review and adjust your setup to stay ahead of new detection methods.
- Test in Different Environments: Conduct tests in various environments to see how DataDome reacts. This can help you identify which configurations are most effective at avoiding detection.
Conclusion
DataDome is a powerful cybersecurity solution that provides comprehensive protection against automated threats, often leading to 403 Forbidden errors when it detects suspicious activity. By understanding how DataDome operates and employing appropriate techniques to simulate legitimate user behavior, you can effectively solve these restrictions and maintain access to your target resources.