Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update README.md #1

Merged
merged 1 commit into from
Nov 15, 2024
Merged

Update README.md #1

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 9 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,10 +21,16 @@ This Python script allows users to crawl and retrieve product listings from Diva
3. **Saving Data**: The product details are saved in a CSV file, with dynamic headers corresponding to unique product titles. If a title is missing for a product, `null` is placed in the CSV file.

## How to Use
### Step 1: Clone Repository

### Step 1: Set Parameters
run the following command in terminal
```
git clone https://github.com/2077DevWave/divar_scraper.git
```

### Step 2: Set Parameters

Set the following parameters in the script to customize the behavior:
Set the following parameters in the script (divar_scraper.py) to customize the behavior:

- **`search_query`**: The search term for products (e.g., `"207"` to find Peugeot 207 cars).
- **`city_id`**: The city ID to search within (e.g., `"1"` for Tehran, `"38"` for Yasouj).
Expand All @@ -39,7 +45,7 @@ url_limit = 5 # Set the number of URLs to crawl
csv_file = "divar_product_details.csv" # Name of the CSV file to save the product information
```

### Step 2: Run the Script
### Step 3: Run the Script

Once the parameters are set, run the script:

Expand Down
Loading