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Sandbox Execution ✓

Here are the sandbox execution logs prior to making any changes:

Sandbox logs for b24f724

Checking src/scraping.py for syntax errors... ✅ src/scraping.py has no syntax errors! 1/1 ✓
Checking src/scraping.py for syntax errors...
✅ src/scraping.py has no syntax errors!

Sandbox passed on the latest main, so sandbox checks will be enabled for this issue.

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/Hardeepex/webscraper/blob/b24f724b78db7226bbcaa42c7399eb24e12ba683/src/scraping.py#L1-L46 https://github.com/Hardeepex/webscraper/blob/b24f724b78db7226bbcaa42c7399eb24e12ba683/src/rawyhtmlscraper.py#L1-L65

I also found the following external resources that might be helpful:

**Summaries of links found in the content:** https://github.com/Hardeepex/webscraper/blob/main/src/singleproduct.py: The page contains code for a web scraping script written in Python. The script uses the `httpx` library to send HTTP requests and the `selectolax` library to parse HTML. The main function of the script is to scrape product details from multiple pages on the website "https://www.rei.com/c/camping-and-hiking/f/scd-deals". It does this by iterating over a range of page numbers and calling the `get_html` function to retrieve the HTML content of each page. The `parse_page` function is then called to extract the desired product details from the HTML. The script also includes a helper function called `extract_text` which uses CSS selectors to extract text from HTML elements. The user wants to modify the `scraping.py` file to scrape product details from all pages based on the data in the `data.txt` file. They mention that their current scraper is able to explore the pages but the output is blank. https://github.com/Hardeepex/webscraper/blob/main/src/scraping.py: The page contains a Python script for web scraping. The script uses the `httpx` library to send HTTP requests and the `selectolax` library to parse HTML. The `get_html` function takes a base URL and a page number as input and sends a GET request to the specified URL with the page number appended. It sets the User-Agent header to mimic a web browser and follows redirects. If the response is successful, it returns the parsed HTML using the `HTMLParser` class. If there is an HTTP status error, it prints an error message and returns False. The `extract_text` function takes the parsed HTML and a CSS selector as input and attempts to extract the text content of the first element matching the selector. If the element is not found, it returns None. The `parse_page` function takes the parsed HTML and extracts information about products. It selects all `li` elements with the class `VcGDfKky_dvNbxUqmZ9K` and extracts the name, price, and savings information using the `extract_text` function. It yields a dictionary containing the extracted information for each product. The `main` function sets the base URL for the website to scrape and iterates over page numbers from 1 to 99. It calls the `get_html` function to retrieve the HTML for each page and checks if it is False (indicating an error). If the HTML is valid, it calls the `parse_page` function to extract product information and prints each item. It also includes a delay of 1 second between requests. The script is meant to be executed directly when run as the main module. The user wants to modify the `scraping.py` file to scrape product details from all pages using the data from the `data.txt` file. They mentioned that the current scraper is able to explore the pages but the output is blank. https://www.rei.com/c/camping-and-hiking/f/scd-deals?page: The page you provided is titled "Access Denied" and it states that the user does not have permission to access a specific URL on the server. The page also includes a reference number. The problem the user is trying to solve involves web scraping. They have provided code that uses the HTTPX library and the Selectolax parser to scrape data from a website. The code makes requests to a base URL with different page numbers and extracts information such as product names, prices, and savings. The user wants to modify their existing scraper to scrape product details from all pages, but they are currently getting blank output. They have also mentioned that they have uploaded an HTML output file and a single product scraper file. https://github.com/Hardeepex/webscraper/blob/main/src/rawyhtmlscraper.py: The page contains a Python script for web scraping. The script uses the `httpx` library to make HTTP requests and the `selectolax` library to parse HTML. The `get_html` function takes a base URL and a page number as input and retrieves the HTML content of the specified page. It sets the User-Agent header and handles HTTP errors. The `extract_text` function extracts text from HTML nodes based on a given selector. It uses the `css_first` method of the HTMLParser object to select the first matching node and returns its text content. The `parse_page` function takes the parsed HTML as input and extracts product details from the HTML nodes. It selects specific elements using CSS selectors and creates a dictionary with the extracted information. It yields each dictionary as an item. The `main` function is the entry point of the script. It defines the base URL for the website to scrape and iterates over a range of page numbers. It calls the `get_html` function to retrieve the HTML for each page and checks if the HTML is valid. If it is, it calls the `parse_page` function to extract the product details and prints them. It also includes a sleep function to avoid overwhelming the server with requests. The user wants to modify the `scraping.py` file to scrape product details from all pages based on the `data.txt` file. They mention that the current scraper is able to explore the pages but the output is blank.

Step 2: ⌨️ Coding

[X] Modify src/scraping.py ✓ https://github.com/Hardeepex/webscraper/commit/aedc0716be9900fb3a470aed1a78172a9ac42088 Edit
Modify src/scraping.py with contents:
• Update the `get_html` function to handle any additional exceptions that may be causing the blank output. This could involve catching and handling more specific exceptions, or adding additional error checking after the `httpx.get` call.
• If necessary, update the User-Agent header to match the one used in the `src/singleproduct.py` file or another valid User-Agent string. Some websites may block or limit requests from unrecognized or suspicious User-Agents, which could be causing the blank output.

--- 
+++ 
@@ -4,9 +4,12 @@

 def get_html(baseurl, page):
     headers = {
-        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/111.0"
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:10.0) Gecko/20100101 Firefox/111.0"
     }
     resp = httpx.get(baseurl + str(page), headers=headers, follow_redirects=True)
+    if resp.text == '':
+        print(f"Blank response for {resp.url}.")
+        return False
     try:

         resp.raise_for_status()

[X] Running GitHub Actions for src/scraping.py ✓ Edit
Check src/scraping.py with contents:

Ran GitHub Actions for aedc0716be9900fb3a470aed1a78172a9ac42088:

[X] Modify src/scraping.py ✓ https://github.com/Hardeepex/webscraper/commit/a260716eec4a598b258a3c8cc0a449ebd3ab1b0f Edit
Modify src/scraping.py with contents:
• Update the `extract_text` function to use the correct CSS selectors for extracting product details from the HTML. The correct selectors can likely be found in the `src/singleproduct.py` file or the `data.txt` file.
• Ensure that the function correctly handles cases where the desired element is not found in the HTML, returning `None` or an appropriate default value.

--- 
+++ 
@@ -4,9 +4,12 @@

 def get_html(baseurl, page):
     headers = {
-        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/111.0"
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:10.0) Gecko/20100101 Firefox/111.0"
     }
     resp = httpx.get(baseurl + str(page), headers=headers, follow_redirects=True)
+    if resp.text == '':
+        print(f"Blank response for {resp.url}.")
+        return False
     try:

         resp.raise_for_status()
@@ -26,8 +29,8 @@
     for product in products:
         item = {
            "name": extract_text(product, "span[data-ui='product-title']"),
-            "price": extract_text(product, "span[data-ui=sale-price]"),
-            "savings": extract_text(product, "div[data-ui=savings-percent-variant2]"),
+            "price": extract_text(product, "span[data-ui='sale-price']"),
+            "savings": extract_text(product, "span[data-ui='savings']"),
         }
         yield item

[X] Running GitHub Actions for src/scraping.py ✓ Edit
Check src/scraping.py with contents:

Ran GitHub Actions for a260716eec4a598b258a3c8cc0a449ebd3ab1b0f:

[X] Modify src/scraping.py ✓ https://github.com/Hardeepex/webscraper/commit/a11932f214bbae6a87d3848eb942327bedb1a016 Edit
Modify src/scraping.py with contents:
• Update the `parse_page` function to use the correct CSS selector for selecting product elements from the HTML. The correct selector can likely be found in the `src/singleproduct.py` file or the `data.txt` file.
• Ensure that the function correctly extracts all desired details (name, price, savings) from each product element and yields a dictionary with these details.

--- 
+++ 
@@ -4,9 +4,12 @@

 def get_html(baseurl, page):
     headers = {
-        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/111.0"
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:10.0) Gecko/20100101 Firefox/111.0"
     }
     resp = httpx.get(baseurl + str(page), headers=headers, follow_redirects=True)
+    if resp.text == '':
+        print(f"Blank response for {resp.url}.")
+        return False
     try:

         resp.raise_for_status()
@@ -22,12 +25,12 @@
         return None

 def parse_page(html):
-    products = html.css("li.VcGDfKky_dvNbxUqmZ9K")
+    products = html.css("li.VcGDfKKy_dvNbxUqm29K")
     for product in products:
         item = {
            "name": extract_text(product, "span[data-ui='product-title']"),
-            "price": extract_text(product, "span[data-ui=sale-price]"),
-            "savings": extract_text(product, "div[data-ui=savings-percent-variant2]"),
+            "price": extract_text(product, "span[data-ui='sale-price']"),
+            "savings": extract_text(product, "span[data-ui='savings']"),
         }
         yield item

[X] Running GitHub Actions for src/scraping.py ✓ Edit
Check src/scraping.py with contents:

Ran GitHub Actions for a11932f214bbae6a87d3848eb942327bedb1a016:

[X] Modify src/scraping.py ✓ https://github.com/Hardeepex/webscraper/commit/006569abc2e62d93af8eca63998ca44f05ae7401 Edit
Modify src/scraping.py with contents:
• Update the `main` function to correctly handle the output from the `parse_page` function. This could involve printing the product details to the console, saving them to a file, or some other form of output.
• Ensure that the function correctly handles cases where the `get_html` function returns `False`, indicating an error. This could involve breaking the loop, logging an error message, or some other form of error handling.

--- 
+++ 
@@ -4,9 +4,12 @@

 def get_html(baseurl, page):
     headers = {
-        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/111.0"
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:10.0) Gecko/20100101 Firefox/111.0"
     }
     resp = httpx.get(baseurl + str(page), headers=headers, follow_redirects=True)
+    if resp.text == '':
+        print(f"Blank response for {resp.url}.")
+        return False
     try:

         resp.raise_for_status()
@@ -22,12 +25,12 @@
         return None

 def parse_page(html):
-    products = html.css("li.VcGDfKky_dvNbxUqmZ9K")
+    products = html.css("li.VcGDfKKy_dvNbxUqm29K")
     for product in products:
         item = {
            "name": extract_text(product, "span[data-ui='product-title']"),
-            "price": extract_text(product, "span[data-ui=sale-price]"),
-            "savings": extract_text(product, "div[data-ui=savings-percent-variant2]"),
+            "price": extract_text(product, "span[data-ui='sale-price']"),
+            "savings": extract_text(product, "span[data-ui='savings']"),
         }
         yield item

@@ -37,10 +40,17 @@
         print(f"Gathering page: {x}")
         html = get_html(baseurl, x)
         if html is False:
+            # If getting HTML fails, log an error message and break from the loop to stop further processing
+            print(f'Error occurred when fetching page {x}. Stopping the scraping process.')
             break
         data = parse_page(html)
-        for item in data:
-            print(item)
+        # Open a file in append mode to save the product details
+        with open('product_details.txt', 'a') as file:
+            for item in data:
+                # Writing product details to the file
+                file.write(f'{item}\n')
+
+        # Delay between requests to avoid overloading the server
         time.sleep(1)

 if __name__ == "__main__":

[X] Running GitHub Actions for src/scraping.py ✓ Edit
Check src/scraping.py with contents:

Ran GitHub Actions for 006569abc2e62d93af8eca63998ca44f05ae7401:

Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/i_want_to_modify_webscraper_code.

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Hardeepex / webscraper

Sweep: i want to modify webscraper code #4

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