Issue deploying script to AWS Lambda

The issue I have is I am trying to run a script which uses Selenium and specifically webdriver.

driver = webdriver.Firefox(executable_path='numpy-test/geckodriver', options=options, service_log_path ='/dev/null')

My issue is that the function requires geckodriver in order to run. Geckodriver can be found in the zip file I have uploaded to AWS but I have no idea as to how to get the function to access it on AWS. Locally its not an issue as it is in my directory and so everything runs.

I get the following error message when running the function via serverless:

{ "errorMessage": "Message: 'geckodriver' executable needs to be in PATH. \n", "errorType": "WebDriverException", "stackTrace": [ [ "/var/task/handler.py", 66, "main", "print(TatamiClearanceScrape())" ], [ "/var/task/handler.py", 28, "TatamiClearanceScrape", "driver = webdriver.Firefox(executable_path='numpy-test/geckodriver', options=options, service_log_path ='/dev/null')" ], [ "/var/task/selenium/webdriver/firefox/webdriver.py", 164, "init", "self.service.start()" ], [ "/var/task/selenium/webdriver/common/service.py", 83, "start", "os.path.basename(self.path), self.start_error_message)" ] ] }

Error --------------------------------------------------

Invoked function failed

Any help would be appreciated.

EDIT:

def TatamiClearanceScrape():
    options = Options()
    options.add_argument('--headless')

    page_link = 'https://www.tatamifightwear.com/collections/clearance'
    # this is the url that we've already determined is safe and legal to scrape from.
    page_response = requests.get(page_link, timeout=5)
    # here, we fetch the content from the url, using the requests library
    page_content = BeautifulSoup(page_response.content, "html.parser")

    driver = webdriver.Firefox(executable_path='numpy-test/geckodriver', options=options, service_log_path ='/dev/null')
    driver.get('https://www.tatamifightwear.com/collections/clearance')

    labtnx = driver.find_element_by_css_selector('a.btn.close')
    labtnx.click()
    time.sleep(10)
    labtn = driver.find_element_by_css_selector('div.padding')
    labtn.click()
    time.sleep(5)
    # wait(driver, 50).until(lambda x: len(driver.find_elements_by_css_selector("div.detailscontainer")) > 30)
    html = driver.page_source
    page_content = BeautifulSoup(html)
    # we use the html parser to parse the url content and store it in a variable.
    textContent = []

    tags = page_content.findAll("a", class_="product-title")

    product_title = page_content.findAll(attrs={'class': "product-title"})  # allocates all product titles from site

    old_price = page_content.findAll(attrs={'class': "old-price"})

    new_price = page_content.findAll(attrs={'class': "special-price"})

    products = []
    for i in range(len(product_title) - 2):
        #  groups all products together in list of dictionaries, with name, old price and new price
        object = {"Product Name": product_title[i].get_text(strip=True),
                  "Old Price:": old_price[i].get_text(strip=True),
                  "New Price": new_price[i].get_text(), 'date': str(datetime.datetime.now())
                  }
        products.append(object)



    return products