How To Bypass Amazon CAPTCHA In 2025
Amazon's CAPTCHA system is a crucial security mechanism designed to distinguish between human users and automated bots. If you are engaged in web scraping or automation, encountering CAPTCHA can disrupt your workflow. This guide explores several advanced strategies to effectively bypass Amazon CAPTCHA while ensuring the reliability of your scraping process.
Amazon CAPTCHA is typically a text-based challenge where users must enter displayed characters. The system detects and responds to non-human behaviors, preventing automated access to Amazon's data. This security measure primarily appears in scenarios involving repeated or scripted actions, such as:
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Accessing product pages frequently or directly via scripts.
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Conducting automated search queries.
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Logging in or creating multiple accounts.
Since Amazon does not explicitly outline CAPTCHA-triggering conditions, its behavior remains unpredictable. Even a basic Selenium script might work smoothly one moment and encounter CAPTCHA the next, complicating efforts to build a stable scraper.
Human users rarely face CAPTCHA because Amazon's security systems primarily target automated scripts. Modifying browser automation to mimic real user behavior significantly reduces CAPTCHA encounters. This can be achieved using specialized tools that modify browser fingerprinting and behavior.
Recommended tools
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SeleniumBase – Enhances Selenium's stealth capabilities.
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Playwright Stealth – Alters browser characteristics to avoid detection.
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Puppeteer Stealth – Helps Puppeteer scripts appear more human-like.
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undetected-chromedriver – A patched WebDriver that bypasses detection mechanisms.
Example: Using SeleniumBase for a stealthy approach
1from seleniumbase import Driver
2
3# Launch SeleniumBase driver with stealth mode
4driver = Driver(uc=True)
5driver.get("https://www.amazon.com/Amazon-Kindle/dp/B0CNV9F72P")
6driver.save_screenshot("product-page.png")
7driver.quit()
8
9
This method greatly reduces the frequency of CAPTCHA prompts, ensuring smoother automation.
Amazon CAPTCHA remains relatively simple compared to modern advanced CAPTCHA systems, making it feasible for AI to solve them efficiently. The process involves:
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Capturing a screenshot of the CAPTCHA challenge.
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Sending the image to an AI-based OCR model for text extraction.
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Using the extracted text to automatically complete the CAPTCHA field.
Example: Using OpenAI's GPT model for CAPTCHA solving
1import os, time, base64
2from openai import OpenAI
3from selenium import webdriver
4from selenium.webdriver.common.by import By
5from selenium.webdriver.common.keys import Keys
6
7def encode_image(image_path):
8 with open(image_path, "rb") as image_file:
9 return base64.b64encode(image_file.read()).decode("utf-8")
10
11def solve_amazon_captcha(driver):
12 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
13 captcha_elements = driver.find_elements(By.CSS_SELECTOR, ".a-span12")
14
15 if captcha_elements:
16 driver.save_screenshot("captcha.png")
17 base64_image = encode_image("captcha.png")
18 response = client.chat.completions.create(
19 model="gpt-4o-mini",
20 messages=[ {"role": "user", "content": [ {"type": "text", "text": "Extract text from this CAPTCHA."}, {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}} ]}
21 ],
22 )
23 captcha_text = response.choices[0].message.content.strip()
24 captcha_elements[0].send_keys(captcha_text, Keys.ENTER)
25 time.sleep(5)
26
27
This AI-driven method automates CAPTCHA solving, reducing manual intervention while maintaining efficiency.
For a more reliable and scalable approach, integrating a third-party CAPTCHA-solving service is the optimal solution. These services use automated solvers or human workers to process CAPTCHA challenges in real time.
Popular CAPTCHA-solving services:
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2Captcha – Offers human-assisted CAPTCHA solving.
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Anti-Captcha – Uses AI and human solvers for rapid resolution.
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CapMonster – A fully automated CAPTCHA-solving service.
Using these services in conjunction with a stealth browser provides the best balance between efficiency and accuracy.
Maintaining session persistence reduces the chances of encountering CAPTCHA by making requests appear more like a returning user.
How to implement
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Use requests.Session() in Python to manage cookies and headers.
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Use Playwright's storageState to persist authentication data.
Example
1from requests import Session
2
3session = Session()
4session.get("https://www.amazon.com") # Store cookies
5response = session.get("https://www.amazon.com/gp/bestsellers")
6print(response.text) # Fewer CAPTCHA prompts expected
7
8
Avoiding CAPTCHAs is not just about stealth techniques; it also requires robust proxy solutions. MoMoProxy is a highly effective proxy provider that enhances web scraping success by offering:
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8000 million global residential IPs – Mimic real user behavior to avoid detection.
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Rotating proxies – Automatically switch IPs to distribute requests.
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High-speed connections – Ensure seamless automation without delays.
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Support for multiple devices – Works on Windows, iOS, Android, and Linux.
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99.64% request success rate – Reduces blocking risks.
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Supports all use cases – Works with anti-detection browsers, scrapers, and automation tools.
Example: Integrating MoMoProxy with Requests
1proxies = {
2 "http": "http://username:[email protected]:port",
3 "https": "https://username:[email protected]:port"
4}
5response = session.get("https://www.amazon.com", proxies=proxies)
6print(response.text)
7
8
By integrating MoMoProxy with the CAPTCHA bypass strategies above, you can significantly enhance the efficiency and success rate of your scraping operations.
Bypassing Amazon CAPTCHA requires a strategic combination of stealth browsing, AI-driven recognition, session persistence, human-like interactions, and third-party CAPTCHA-solving services. Implementing these techniques alongside MoMoProxy's advanced proxy solutions ensures smooth and uninterrupted data extraction. Adopting these best practices will improve your scraping efficiency while minimizing CAPTCHA-related disruptions.