Initial commit

.gitignore

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+# Extensions
+*.csv
+*.jsonl
+
+# Folders
+venv/
+__pycache__/
+.idea/
+
+# Individual files
+test.py
+backup.py
+terminal.bat

README.md

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+# ShopExtract — The Only Tool You Need to Extract Full Shopify Product Catalogs
+
+![Repo Logo](shopify_csv_extractor_logo.svg)
+
+
+## Features
+
+1. Interactive menu-based text-user-interface (TUI) with live on-screen scraping progress.
+2. Very fast scraping (~ up to 3,000 products/sec)
+3. Bypasses Cloudflare's anti-bot protections
+4. Handles timeouts via auto-retries and exponential back-off.
+5. Bypasses /products.json endpoint blocks by auto-detecting a store's myshopify.com domain.
+6. Produces ready-to-import CSVs (with proper column and row-formatting) to allow the user to immediately use the CSVs in Shopify.
+7. Does not pass the 15-MB-size and 50,000-row limits per CSV. For large catalogs, it auto-splits the data into multiple CSVs.
+
+## Outputs
+
+For any Shopify store, the scraper produces a JSON Lines (.jsonl) file that contains the entire product catalog and one or more CSV files with proper formatting for immediate Shopify product import.
+
+
+## Limits
+
+For stores with product catalogs of more than 25,000 products, the scraper falls back to the collections aggregation strategy, which makes it slower.
+
+## Setup
+
+Make sure you navigate to the project folder, then write the commands below.
+
+### Create new virtual environment
+
+**MacOS/Linux**
+```bash
+python3 -m venv venv
+```
+
+**Windows**
+```cmd
+python -m venv venv
+```
+
+### Activate virtual environment
+
+**MacOS/Linux**
+```bash
+source venv/bin/activate
+```
+
+**Windows CMD**
+```cmd
+.\venv\Scripts\activate
+```
+
+**Windows Bash**
+```bash
+source venv/Scripts/activate
+```
+
+### Install dependencies
+
+**MacOS/Linux**
+```bash
+pip3 install -r requirements.txt
+```
+
+**Windows**
+```bash
+pip install -r requirements.txt
+```
+
+### Run the tool
+
+**MacOS/Linux**
+```bash
+python3 main.py
+```
+
+**Windows**
+```bash
+python main.py
+```
+
+## Usage
+
+1. Press '1' in the main menu screen and press ENTER.
+2. Type your target store URL (e.g. https://www.gymshark.com/) and press ENTER.
+3. Type your output CSV name and press ENTER.
+4. Wait until scraping is complete.
+5. Enjoy your CSVs.
+
+## Screenshots
+
+### Menu
+
+![Menu](./images/menu_1.png)
+
+![Menu](./images/menu_2.png)
+
+### Scraping
+
+![Scraping](./images/scraping_1.png)
+
+### Output
+
+![Output](./images/output.png)
+
+![CSV](./images/csv.png)
+

main.py

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+from curl_cffi.requests.exceptions import HTTPError, Timeout
+from curl_cffi import AsyncSession
+from json.decoder import JSONDecodeError
+from collections.abc import AsyncGenerator
+from asyncio import Semaphore
+from functools import wraps
+import pandas as pd
+import asyncio
+import random
+import json
+import time
+import csv
+import sys
+import re
+import os
+
+LOGO = r"""
+   _____ _                 ______      _                  _   
+  / ____| |               |  ____|    | |                | |  
+ | (___ | |__   ___  _ __ | |__  __  _| |_ _ __ __ _  ___| |_ 
+  \___ \| '_ \ / _ \| '_ \|  __| \ \/ / __| '__/ _` |/ __| __|
+  ____) | | | | (_) | |_) | |____ >  <| |_| | | (_| | (__| |_ 
+ |_____/|_| |_|\___/| .__/|______/_/\_\\__|_|  \__,_|\___|\__|
+                    | |                                       
+                    |_|                                                  
+"""
+
+MENU_OPTIONS = """
+***************************
+*        MAIN MENU        *
+***************************
+* 1. Generate Shopify CSV *
+* 2. About                *
+* 3. Exit                 *
+***************************
+"""
+
+def limit_concurrency(limit: int):
+    """Limits the number of concurrent coroutines."""
+
+    SCRAPING_LIMIT = Semaphore(limit)
+    
+    def decorator(scrape_func):
+        @wraps(scrape_func)
+        async def wrapper(*args, **kwargs):
+            async with SCRAPING_LIMIT:
+                return await scrape_func(*args, **kwargs)
+        
+        return wrapper
+    
+    return decorator
+
+
+def clear_screen() -> None:
+    """Clears the screen in the console for better UX."""
+
+    if os.name == "nt": # Windows OS
+        os.system("cls")
+    else: # MacOS or Linux
+        os.system("clear")
+
+def elapsed_time(since: float) -> int:
+    """Returns the elapsed time in seconds since a given start time in seconds.
+    Args:
+        since: A timestamp in seconds, representing the start time (e.g. time.perf_counter())."""
+
+    current_time = time.perf_counter()
+    time_elapsed = round(current_time - since)
+    return time_elapsed
+
+def create_empty_csv(name: str) -> None:
+    """Generates an empty CSV with the required Shopify header row.
+    Args:
+        name: The name of the output CSV file."""
+
+    with open(f"{name}.csv", mode="w", newline="", encoding="utf-8") as f:
+        writer = csv.writer(f)
+        header_row = [
+            "Handle",
+            "Title",
+            "Body (HTML)",
+            "Vendor",
+            "Product Category",
+            "Type",
+            "Tags",
+            "Published",
+            "Option1 Name",
+            "Option1 Value",
+            "Option2 Name",
+            "Option2 Value",
+            "Option3 Name",
+            "Option3 Value",
+            "Variant SKU",
+            "Variant Price",
+            "Variant Compare At Price",
+            "Image Src",
+            "Image Alt Text",
+            "Variant Image",
+            "Variant Weight",
+            "Variant Inventory Qty",
+            "Variant Barcode"
+        ]
+        writer.writerow(header_row)
+
+def generate_csvs(name: str) -> None:
+    """Generates CSV files with the scraped data from a Shopify store.
+    Args:
+        name: The name of the output CSV file."""
+
+    current_csv_rows = 1
+    current_csv_num = 1
+    with open(f"{name}_{current_csv_num}.csv", mode="w", newline="", encoding="utf-8") as f:
+        writer = csv.writer(f)
+        header_row = [
+            "Handle",
+            "Title",
+            "Body (HTML)",
+            "Vendor",
+            "Product Category",
+            "Type",
+            "Tags",
+            "Published",
+            "Option1 Name",
+            "Option1 Value",
+            "Option2 Name",
+            "Option2 Value",
+            "Option3 Name",
+            "Option3 Value",
+            "Variant SKU",
+            "Variant Price",
+            "Variant Compare At Price",
+            "Image Src",
+            "Image Alt Text",
+            "Variant Image",
+            "Variant Weight",
+            "Variant Inventory Qty",
+            "Variant Barcode"
+        ]
+        writer.writerow(header_row)
+
+    # Stream read from the jsonl file that contains the scraped data.
+    with open(f"{name}.jsonl", mode="r", encoding="utf-8") as jsonl_file:
+        for line in jsonl_file:
+            product: dict = json.loads(line.strip()) # Convert each line in the jsonl file into a Python dict
+
+            # Ensure the CSV does not exceed the 15 MB size limit or the 50,000 row limit for Shopify import.
+            # If it reached near the limit, create a new CSV.
+            if current_csv_rows > 40_000 or current_csv_rows + len(product["other_variants"]) + len(product["other_product_images"]) > 40_000:
+                current_csv_num += 1
+                current_csv_rows = 1
+                create_empty_csv(f"{name}_{current_csv_num}")
+            
+            product_rows = [
+                {key: val for key, val in product.items() if key not in ["other_variants", "other_product_images"]},
+                *product["other_variants"],
+                *product["other_product_images"]
+            ]
+            pd.DataFrame(product_rows).to_csv(f"{name}_{current_csv_num}.csv", mode="a", encoding="utf-8", index=False, header=False)
+            current_csv_rows += ((len(product["other_variants"]) + len(product["other_product_images"])) + 1)
+
+def parse_product(product: dict) -> dict:
+    """Produces Shopify-import-CSV-compatible product data from any raw product data given.
+    Args:
+        product: A dictionary of raw product data obtained from the public Shopify API."""
+
+    parsed_product = {
+        "Handle": "",
+        "Title": "",
+        "Body (HTML)": "",
+        "Vendor": "",
+        "Product Category": "",
+        "Type": "",
+        "Tags": "",
+        "Published": True,
+        "Option1 Name": "",
+        "Option1 Value": "",
+        "Option2 Name": "",
+        "Option2 Value": "",
+        "Option3 Name": "",
+        "Option3 Value": "",
+        "Variant SKU": "",
+        "Variant Price": "",
+        "Variant Compare At Price": "",
+        "Image Src": "",
+        "Image Alt Text": "",
+        "Variant Image": "",
+        "Variant Weight": 0,
+        "Variant Inventory Qty": 0,
+        "Variant Barcode": "",
+        "other_variants": [],
+        "other_product_images": []
+    }
+
+    parsed_product["Handle"] = product["handle"]
+    parsed_product["Title"] = product["title"]
+    parsed_product["Body (HTML)"] = product.get("body_html", "")
+    parsed_product["Vendor"] = product["vendor"]
+    parsed_product["Product Category"] = ""
+    parsed_product["Product Category"] = product.get("product_type", "")
+    parsed_product["Tags"] = f'"{', '.join(product['tags'])}"'
+    parsed_product["Published"] = True
+    main_images = [image["src"] for image in product["images"]]
+    
+    for optin_num, optn in enumerate(product["options"], 1):
+        parsed_product[f"Option{optin_num} Name"] = optn["name"]
+    
+    variants = product["variants"]
+
+    parsed_product["Option1 Value"] = variants[0]["option1"]
+    parsed_product["Option2 Value"] = variants[0]["option2"]
+    parsed_product["Option3 Value"] = variants[0]["option3"]
+    parsed_product["Variant SKU"] = variants[0].get("sku", "")
+    parsed_product["Variant Price"] = variants[0]["price"]
+    parsed_product["Variant Compare At Price"] = variants[0].get("compare_at_price", "")
+    parsed_product["Image Src"] = main_images[0] if main_images else ""
+    parsed_product["Image Alt Text"] = ""
+    parsed_product["Variant Image"] = main_images[0] if main_images else ""
+    parsed_product["Variant Weight"] = variants[0].get("grams", 0)
+
+    if variants[0]["available"]:
+        parsed_product["Variant Inventory Qty"] = 1
+    else:
+        parsed_product["Variant Inventory Qty"] = 0
+    
+
+
+    for variant in variants[1:]:        
+        variant_data = {
+            "Handle": parsed_product["Handle"],
+            "Title": "",
+            "Body (HTML)": "",
+            "Vendor": "",
+            "Product Category": "",
+            "Type": "",
+            "Tags": "",
+            "Published": True,
+            "Option1 Name": parsed_product["Option1 Name"],
+            "Option1 Value": "",
+            "Option2 Name": parsed_product["Option2 Name"],
+            "Option2 Value": "",
+            "Option3 Name": parsed_product["Option3 Name"],
+            "Option3 Value": "",
+            "Variant SKU": "",
+            "Variant Price": "",
+            "Variant Compare At Price": "",
+            "Image Src": "",
+            "Image Alt Text": "",
+            "Variant Image": "",
+            "Variant Weight": 0,
+            "Variant Inventory Qty": 0,
+            "Variant Barcode": ""
+        }
+        
+        variant_data["Option1 Value"] = variant["option1"]
+        variant_data["Option2 Value"] = variant["option2"]
+        variant_data["Option3 Value"] = variant["option3"]
+
+        variant_data["Variant SKU"] = variant.get("sku", "")
+        variant_data["Variant Price"] = variant["price"]
+        variant_data["Variant Compare At Price"] = variant.get("compare_at_price", "")
+
+        try:
+            variant_data["Variant Image"] = variant.get("featured_image", {}).get("src", "")
+        except AttributeError:
+            pass
+        
+        variant_data["Variant Weight"] = variant.get("grams", 0)
+
+        if variant["available"]:
+            variant_data["Variant Inventory Qty"] = 1
+        else:
+            variant_data["Variant Inventory Qty"] = 0
+        
+
+
+        parsed_product["other_variants"].append(variant_data)
+    
+    for image in product["images"]:
+        if not image["variant_ids"] and image["src"] != parsed_product["Image Src"]:
+            parsed_product["other_product_images"].append(
+                {
+                    "Handle": parsed_product["Handle"],
+                    "Title": "",
+                    "Body (HTML)": "",
+                    "Vendor": "",
+                    "Product Category": "",
+                    "Type": "",
+                    "Tags": "",
+                    "Published": "",
+                    "Option1 Name": "",
+                    "Option1 Value": "",
+                    "Option2 Name": "",
+                    "Option2 Value": "",
+                    "Option3 Name": "",
+                    "Option3 Value": "",
+                    "Variant SKU": "",
+                    "Variant Price": "",
+                    "Variant Compare At Price": "",
+                    "Image Src": image["src"],
+                    "Image Alt Text": "",
+                    "Variant Image": "",
+                    "Variant Weight": "",
+                    "Variant Inventory Qty": "",
+                    "Variant Barcode": ""
+                }
+            )
+    
+    return parsed_product
+
+async def get_total_products_count(scrape_url: str, session: AsyncSession) -> int:
+    """Gets the total number of products in the Shopify store. Returns 25001 for stores with more than 25k products.
+    Args:
+        scrape_url: The URL of the working /products.json endpoint of the Shopify store.
+        session: A reference of the main scraping session."""
+
+    delay_time = 1
+    max_attempts = 10
+
+    for attempt in range(1, max_attempts + 1):
+        try:
+            res = await session.get(scrape_url.replace("/products.json", "/meta.json"))
+            res.raise_for_status()
+            data = res.json()
+        except (HTTPError, JSONDecodeError, Timeout):
+            if attempt == 10:
+                raise
+            
+            sleep_time = min(delay_time * 2 ** attempt + random.uniform(0.1, 2), 45) # Exponential back-off with a 45-second cap.
+            await asyncio.sleep(sleep_time)
+        else:
+            break
+    
+    total_products = data["published_products_count"]
+    
+    return total_products
+
+@limit_concurrency(limit=30)
+async def get_page_products(scrape_url: str, page: int, session: AsyncSession) -> list:
+    """Returns raw product data from any given API page.
+    Args:
+        scrape_url: The specific API url (e.g. https://some-store.myshopify.com/products.json).
+        page: The pagination API query paramater.
+        session: A reference of the main scraping session."""
+
+    delay_time = 1
+    max_attempts = 10
+    parameters = {"page": page, "limit": 250}
+
+    await asyncio.sleep(random.uniform(0.1, 1.5)) # Random small jitter
+
+    for attempt in range(1, max_attempts + 1):
+        try:
+            res = await session.get(scrape_url, params=parameters)
+            res.raise_for_status()
+            data = res.json()
+        except (HTTPError, JSONDecodeError, Timeout):
+            if attempt == 10:
+                raise
+            
+            sleep_time = min(delay_time * 2 ** attempt + random.uniform(0.1, 2), 45) # Exponential back-off with a 45-second cap.
+            await asyncio.sleep(sleep_time)
+        else:
+            break
+
+    
+    return data["products"]
+
+async def get_endpoint_products(scrape_info: dict, session: AsyncSession) -> AsyncGenerator[dict, None, None]:
+    """Scrapes all available products from a given endpoint.
+    Args:
+        scrape_info: A dictionary containing necessary info such as the url of the endpoint, total products count of the store, and collection info (if necessary).
+        session: A reference of the main scraping session."""
+
+    scrape_url = scrape_info["url"]
+    total_products = scrape_info["total_products"]
+    collection = scrape_info["collection"]
+    
+    if collection:
+        num_pages = collection["products_count"] // 250 + (1 if collection["products_count"] % 250 > 0 else 0)
+    else:
+        num_pages = total_products // 250 + (1 if total_products % 250 > 0 else 0)
+    
+    tasks = [get_page_products(scrape_url if not collection else collection["url"], page_num, session) for page_num in range(1, num_pages + 1 if num_pages <= 100 else 101)]
+    for future in asyncio.as_completed(tasks):
+        for product in await future:
+            yield parse_product(product)
+
+
+    
+async def get_collections(scrape_url: str, session: AsyncSession) -> list:
+    """Returns a list of all collections in the store with at least one listed product.
+    Args:
+        scrape_url: The URL of the valid /products.json endpoint of the store.
+        session: A reference of the main scraping session."""
+    
+    parameters = {
+        "page": 1,
+        "limit": 250
+    }
+    collections_url = scrape_url.replace("/products.json", "/collections.json")
+
+    collections_data = []
+    delay_time = 1
+    max_attempts = 10
+    
+    while parameters["page"] <= 100:
+        for attempt in range(1, max_attempts + 1):
+            try:
+                res = await session.get(collections_url, params=parameters)
+                res.raise_for_status()
+                data = res.json()
+            except (HTTPError, JSONDecodeError, Timeout):
+                if attempt == 10:
+                    raise
+                
+                sleep_time = min(delay_time * 2 ** attempt + random.uniform(0.1, 2), 45)
+                await asyncio.sleep(sleep_time)
+            else:
+                break
+
+        
+        collections = data["collections"]
+
+        if not collections:
+            break
+
+        for collection in collections:
+            if collection["handle"] not in [c["url"].split("/")[-1].split(".json")[0] for c in collections_data] and collection["products_count"] > 0:
+                collections_data.append(
+                    {
+                        "url": collections_url.split("/collections.json")[0] + f"/collections/{collection["handle"]}/products.json",
+                        "products_count": collection["products_count"]
+                    }
+                )
+        
+        parameters["page"] += 1
+        await asyncio.sleep(0.3)
+    
+    return collections_data
+
+
+
+async def get_scrape_url(store_url: str, session: AsyncSession) -> str:
+    """Returns the valid /products.json URL of a Shopify store.
+    Args:
+        store_url: The normal user-facing URL of the Shopify store.
+        session: A reference of the main scraping session"""
+
+    base_url = "https://" + store_url.split("//")[-1].split("/")[0].split("?")[0]
+    products_endpoint = base_url + "/products.json"
+
+    try:
+        res = await session.get(products_endpoint)
+        res.raise_for_status()
+        res.json()
+    except HTTPError:
+        products_endpoint = None
+    except Exception:
+        products_endpoint = None
+    else:
+        if "products" in res.json():
+            return products_endpoint
+        else:
+            products_endpoint = None
+    
+    if not products_endpoint:
+        try:
+            res = await session.get(base_url, impersonate="edge")
+
+            # Use regex to find the <STORE>.myshopify.com/products.json URL of the Shopify store in case the normal /products.json is blocked.
+            public_store_name = list(set(re.findall(pattern=r'\b([a-zA-Z0-9-]+)\.myshopify\.com\b', string=res.text)))[0]
+        except IndexError:
+            return ""
+        except Exception:
+            return ""
+        else:
+            return f"https://{public_store_name}.myshopify.com/products.json"
+
+
+async def initiate_scraping_operation(store_url: str, output_csv_name: str="shopify") -> None:
+    """The main scraping function.
+    Args:
+        store_url: The normal user-facing URL of the Shopify store.
+        output_csv_name: The user's desired name for the output CSV file."""
+    
+    scrape_count = 0
+    scraped_handles = []
+
+    if not output_csv_name:
+        output_csv_name = "shopify"
+    
+    async with AsyncSession(impersonate="firefox", timeout=10) as scraping_session:
+        print(f"Initializing scraping operation...\n")
+        scrape_url = await get_scrape_url(store_url=store_url, session=scraping_session)
+        total_products = await get_total_products_count(scrape_url=scrape_url, session=scraping_session)
+        
+        
+        # Implement the /products.json strategy for shops with less than or equal to 25,000 products.
+        if total_products <= 25_000:
+            scraping_info = {
+                "url": scrape_url,
+                "total_products": total_products,
+                "collection": {}
+            }
+
+            with open(f"{output_csv_name}.jsonl", mode="w", newline="", encoding="utf-8") as jsonl_file:
+                start_time = time.perf_counter()
+                async for product in get_endpoint_products(scraping_info, scraping_session):
+                    if product["Handle"] not in scraped_handles:
+                        scraped_handles.append(product["Handle"])
+                        jsonl_file.write(json.dumps(product) + "\n")
+                        scrape_count += 1
+                    
+                    elapsed_secs = elapsed_time(since=start_time)
+                    elapsed_secs_display = elapsed_secs % 60
+                    elapsed_mins = (elapsed_secs % 3600) // 60
+                    elapsed_hrs = elapsed_secs // 3600
+                    print(f"\rScrape Count: {scrape_count}/{total_products} | Elapsed Time: {elapsed_hrs:02}:{elapsed_mins:02}:{elapsed_secs_display:02}\033[K", end="", flush=True)
+        else: # Implement the collections strategy for stores with more than 25,000 products.
+            collections = await get_collections(scrape_url=scrape_url, session=scraping_session)
+            start_time = time.perf_counter()
+            with open(f"{output_csv_name}.jsonl", mode="w", newline="", encoding="utf-8") as jsonl_file:
+                for collection_num, collection in enumerate(collections, 1):
+                    scraping_info = {
+                        "url": scrape_url,
+                        "total_products": total_products,
+                        "collection": {"url": collection["url"], "products_count": collection["products_count"]}
+                    }
+                    async for product in get_endpoint_products(scraping_info, scraping_session):
+                        if product["Handle"] not in scraped_handles:
+                            scraped_handles.append(product["Handle"])
+                            jsonl_file.write(json.dumps(product) + "\n")
+                            scrape_count += 1
+                        
+                        elapsed_secs = elapsed_time(since=start_time)
+                        elapsed_secs_display = elapsed_secs % 60
+                        elapsed_mins = (elapsed_secs % 3600) // 60
+                        elapsed_hrs = elapsed_secs // 3600 
+                        print(f"\rCollection: {collection_num}/{len(collections)} | Scrape Count: {scrape_count} | Elapsed Time: {elapsed_hrs:02}:{elapsed_mins:02}:{elapsed_secs_display:02}\033[K", end="", flush=True)
+            
+    
+    print(f"\n\nScraping Complete!\n")
+
+    print(f"\nGenerating CSV(s)...\n")
+    generate_csvs(name=output_csv_name)
+    input("CSV Generated Successfully!\n\nPress ENTER to return to the main menu.")
+
+
+async def main() -> None:
+    """The main function that handles the entire scraper."""
+
+    while True:
+        clear_screen()
+        print(f"{LOGO}")
+        print(f"{MENU_OPTIONS}\n")
+
+        try:
+            user_choice = int(input("Choose an option: ").strip())
+        except ValueError:
+            input("Invalid option. Press ENTER to retry.")
+            continue
+
+        if user_choice == 3:
+            sys.exit(0)
+        
+        if user_choice not in [1, 2]:
+            input("Invalid option. Press ENTER to retry.")
+            continue
+        elif user_choice == 1:
+            shopify_store_url = input("Store URL: ").strip().lower()
+            output_name = input("Type a name for the output CSV: ").lower().strip().split(".")[0].replace("/", "").replace('\\', "").replace("+", "").replace("-", "").replace(" ", "_")
+            clear_screen()
+            print(f"{LOGO}\n")
+            await initiate_scraping_operation(store_url=shopify_store_url, output_csv_name=output_name)
+            continue
+        elif user_choice == 2:
+            clear_screen()
+            print(f"{LOGO}\n")
+            print("Shopify Scraper is your go-to tool for scraping ANY shopify store on the internet.")
+            print("It reliably and quickly extracts the entire product catalog of any shopify store and generates Shopify-compatible, import-ready CSVs.")
+            print("All you have to do is provide the Shopify store URL.")
+            print("-------------------------------------------------------\n")
+            print("Developed By: Dr. Omar Abdelhamid, a 5th-Year Medical Student at KasrAlainy Medical School as of 2026.")
+            print("GitHub Profile: https://github.com/Coding-Doctor-Omar")
+            print("LinkedIn Profile: https://www.linkedin.com/in/dr-omar-abdelhamid-37ab6b366/\n")
+            input("Press ENTER to go back to the main menu.")
+            continue
+        
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

requirements.txt

@@ -0,0 +1,13 @@
+certifi==2026.5.20
+cffi==2.0.0
+curl_cffi==0.15.0
+markdown-it-py==4.2.0
+mdurl==0.1.2
+numpy==2.4.6
+pandas==3.0.3
+pycparser==3.0
+Pygments==2.20.0
+python-dateutil==2.9.0.post0
+rich==15.0.0
+six==1.17.0
+tzdata==2026.2

shopify_csv_extractor_logo.svg

@@ -0,0 +1,56 @@
+<svg width="100%" viewBox="0 0 680 400" role="img" xmlns="http://www.w3.org/2000/svg" style="">
+  <title style="fill:rgb(0, 0, 0);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto">ShopExtract logo — a Shopify CSV extractor tool</title>
+  <desc style="fill:rgb(0, 0, 0);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto">Logo for ShopExtract showing a shopping bag with data/arrow motifs, wordmark, and tagline</desc>
+
+  <defs>
+    
+    <linearGradient id="bagGrad" x1="0%" y1="0%" x2="100%" y2="100%">
+      <stop offset="0%" stop-color="#1D9E75"/>
+      <stop offset="100%" stop-color="#0F6E56"/>
+    </linearGradient>
+    <linearGradient id="shineGrad" x1="0%" y1="0%" x2="0%" y2="100%">
+      <stop offset="0%" stop-color="#5DCAA5" stop-opacity="0.4"/>
+      <stop offset="100%" stop-color="#5DCAA5" stop-opacity="0"/>
+    </linearGradient>
+  <mask id="imagine-text-gaps-lz1123" maskUnits="userSpaceOnUse"><rect x="0" y="0" width="680" height="400" fill="white"/><rect x="388.3000183105469" y="211.60000610351562" width="23.5458984375" height="12" fill="black" rx="2"/><rect x="223.2312469482422" y="255.39999389648438" width="234.13710021972656" height="52" fill="black" rx="2"/><rect x="271.8374938964844" y="309.6000061035156" width="136.3249969482422" height="16.800000190734863" fill="black" rx="2"/></mask></defs>
+
+  <!-- Background card -->
+  <rect x="140" y="40" width="400" height="320" rx="28" fill="#04342C" style="fill:rgb(4, 52, 44);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <rect x="140" y="40" width="400" height="320" rx="28" fill="url(#shineGrad)" opacity="0.5" style="stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.5;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+
+  <!-- Bag body -->
+  <rect x="272" y="148" width="136" height="110" rx="10" fill="url(#bagGrad)" style="stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <!-- Bag handle -->
+  <path d="M302 148 Q302 118 340 118 Q378 118 378 148" fill="none" stroke="#5DCAA5" stroke-width="9" stroke-linecap="round" style="fill:none;stroke:rgb(93, 202, 165);color:rgb(255, 255, 255);stroke-width:9px;stroke-linecap:round;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <!-- Bag shine stripe -->
+  <rect x="272" y="148" width="136" height="28" rx="10" fill="#5DCAA5" opacity="0.2" style="fill:rgb(93, 202, 165);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.2;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+
+  <!-- CSV rows on bag -->
+  <rect x="287" y="180" width="48" height="6" rx="3" fill="#9FE1CB" opacity="0.9" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.9;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <rect x="287" y="193" width="38" height="6" rx="3" fill="#9FE1CB" opacity="0.6" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.6;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <rect x="287" y="206" width="44" height="6" rx="3" fill="#9FE1CB" opacity="0.45" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.45;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <rect x="287" y="219" width="34" height="6" rx="3" fill="#9FE1CB" opacity="0.3" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.3;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+
+  <!-- Arrow out (extract) -->
+  <line x1="348" y1="210" x2="380" y2="210" stroke="#E1F5EE" stroke-width="2.5" stroke-linecap="round" style="fill:rgb(0, 0, 0);stroke:rgb(225, 245, 238);color:rgb(255, 255, 255);stroke-width:2.5px;stroke-linecap:round;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <polyline points="374,203 382,210 374,217" fill="none" stroke="#E1F5EE" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round" style="fill:none;stroke:rgb(225, 245, 238);color:rgb(255, 255, 255);stroke-width:2.5px;stroke-linecap:round;stroke-linejoin:round;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+
+  <!-- File icon -->
+  <rect x="387" y="191" width="26" height="34" rx="4" fill="#9FE1CB" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <path d="M401 191 L413 203 L413 225 Q413 225 401 225 L389 225 L389 191 Z" fill="none" mask="url(#imagine-text-gaps-lz1123)" style="fill:none;stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <path d="M401 191 L401 203 L413 203" fill="none" stroke="#0F6E56" stroke-width="1.5" style="fill:none;stroke:rgb(15, 110, 86);color:rgb(255, 255, 255);stroke-width:1.5px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <!-- .csv label on file -->
+  <text x="400" y="220" text-anchor="middle" font-family="DM Mono, monospace" font-size="7" font-weight="500" fill="#0F6E56" style="fill:rgb(15, 110, 86);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;DM Mono&quot;, monospace;font-size:7px;font-weight:500;text-anchor:middle;dominant-baseline:auto">.csv</text>
+
+  <!-- Wordmark -->
+  <text x="340" y="295" text-anchor="middle" font-size="34" fill="#E1F5EE" letter-spacing="-0.5" style="fill:rgb(225, 245, 238);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:Sora, sans-serif;font-size:34px;font-weight:800;text-anchor:middle;dominant-baseline:auto">Shop<tspan fill="#5DCAA5" style="fill:rgb(93, 202, 165);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:Sora, sans-serif;font-size:34px;font-weight:800;text-anchor:middle;dominant-baseline:auto">Extract</tspan></text>
+
+  <!-- Tagline -->
+  <text x="340" y="322" text-anchor="middle" font-size="11" fill="#5DCAA5" letter-spacing="1.5" style="fill:rgb(93, 202, 165);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:1;font-family:&quot;DM Mono&quot;, monospace;font-size:11px;font-weight:500;text-anchor:middle;dominant-baseline:auto">URL → CSV + JSONL</text>
+
+  <!-- Corner accent dots -->
+  <circle cx="168" cy="68" r="4" fill="#5DCAA5" opacity="0.3" style="fill:rgb(93, 202, 165);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.3;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <circle cx="512" cy="332" r="4" fill="#5DCAA5" opacity="0.3" style="fill:rgb(93, 202, 165);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.3;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <circle cx="512" cy="68" r="3" fill="#9FE1CB" opacity="0.2" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.2;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+  <circle cx="168" cy="332" r="3" fill="#9FE1CB" opacity="0.2" style="fill:rgb(159, 225, 203);stroke:none;color:rgb(255, 255, 255);stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;opacity:0.2;font-family:&quot;Anthropic Sans&quot;, -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, sans-serif;font-size:16px;font-weight:400;text-anchor:start;dominant-baseline:auto"/>
+</svg>