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עידן וילנסקיעידן וילנסקי
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feat: add AI-powered extract function and improve LinkedIn sync
- Add extract() function with OpenAI integration for AI-powered content extraction - Fix LinkedIn sync mode to use correct API endpoint and request structure - Set sync=True as default for LinkedIn scraping methods - Improve unit tests coverage - Add extract_example.py demonstrating AI extraction capabilities Bump version to 1.1.2
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.github/workflows/test.yml

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@@ -31,7 +31,7 @@ jobs:
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- name: Test package import
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run: |
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python -c "import brightdata; print('Import successful')"
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python -c "import brightdata; print('Import successful')"
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- name: Run tests
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run: |
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- name: Test PyPI package import
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run: |
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python -c "import brightdata; print('PyPI package import successful')"
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python -c "from brightdata import bdclient; print('bdclient import successful')"
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python -c "import brightdata; print('PyPI package import successful')"
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python -c "from brightdata import bdclient; print('bdclient import successful')"
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- name: Test PyPI package basic functionality
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run: |
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python -c "
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import sys
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from brightdata import bdclient, __version__
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print(f'✅ PyPI package version: {__version__}')
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print(f'PyPI package version: {__version__}')
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# Test that validation works (accept any validation error as success)
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try:
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client = bdclient(api_token='test_token_too_short')
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print('WARNING: No validation error - this might indicate an issue')
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except Exception as e:
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print(f'Validation error caught: {str(e)[:100]}...')
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print('PyPI package validation working correctly')
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# Test basic client creation with disabled auto-zone creation
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try:
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client = bdclient(api_token='test_token_123456789', auto_create_zones=False)
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print('Client creation successful')
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# Test that basic methods exist
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methods = ['scrape', 'search', 'download_content']
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for method in methods:
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if hasattr(client, method):
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print(f'Method {method} exists')
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else:
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print(f'Method {method} missing (might be version difference)')
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except Exception as e:
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print(f'✅ Expected validation error: {e}')
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if 'API token appears to be invalid' in str(e):
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print('✅ PyPI package validation working correctly')
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else:
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raise Exception('Unexpected error message')
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print(f'ERROR: Client creation failed: {e}')
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sys.exit(1)
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print('PyPI package basic functionality test completed')
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"
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- name: Run basic tests against PyPI package
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- name: Test PyPI package compatibility
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run: |
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# Copy test files to temp directory to avoid importing local code
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mkdir /tmp/pypi_tests
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cp tests/test_client.py /tmp/pypi_tests/
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cd /tmp/pypi_tests
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# Run a subset of tests that don't require mocking internal methods
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python -c "
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import sys
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sys.path.insert(0, '.')
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from test_client import TestBdClient
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import pytest
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print('Running PyPI package compatibility tests...')
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# Run only basic validation tests
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test_instance = TestBdClient()
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print('✅ Running PyPI package validation tests...')
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# Test import compatibility
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try:
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from brightdata import bdclient, __version__
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from brightdata.exceptions import ValidationError
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print('Core imports working')
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except ImportError as e:
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print(f'ERROR: Import failed: {e}')
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exit(1)
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# Test that client requires token
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try:
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# Test that requires no token should fail
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pytest.raises(Exception, lambda: __import__('brightdata').bdclient())
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print('✅ No token validation works')
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except:
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pass
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client = bdclient() # Should fail without token
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print('WARNING: Client created without token - unexpected')
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except Exception:
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print('Token requirement validated')
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print('PyPI package basic tests completed')
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print('PyPI package compatibility tests completed')
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"

README.md

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@@ -42,6 +42,7 @@ print(client.parse_content(results))
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| **Scrape every website** | `scrape` | Scrape every website using Bright's scraping and unti bot-detection capabilities
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| **Web search** | `search` | Search google and other search engines by query (supports batch searches)
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| **Web crawling** | `crawl` | Discover and scrape multiple pages from websites with advanced filtering and depth control
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| **AI-powered extraction** | `extract` | Extract specific information from websites using natural language queries and OpenAI
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| **Content parsing** | `parse_content` | Extract text, links, images and structured data from API responses (JSON or HTML)
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| **Browser automation** | `connect_browser` | Get WebSocket endpoint for Playwright/Selenium integration with Bright Data's scraping browser
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| **Search chatGPT** | `search_chatGPT` | Prompt chatGPT and scrape its answers, support multiple inputs and follow-up prompts
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print(f"Found {len(parsed['links'])} links")
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```
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#### `extract()`
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```python
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# Simple AI-powered extraction using natural language
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result = client.extract("extract the latest news headlines from bbc.com")
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print(result) # Prints extracted headlines directly
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# Extract specific information with custom query
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result = client.extract("get product name and price from amazon.com/dp/B079QHML21")
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print(f"Product info: {result}")
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print(f"Source: {result.url}")
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print(f"Tokens used: {result.token_usage['total_tokens']}")
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# Extract structured data
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result = client.extract("find contact information and business hours from company-website.com")
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print(result) # AI-formatted contact details
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```
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#### `connect_browser()`
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```python
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# For Playwright (default browser_type)
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- `extract_images`: Extract image URLs from content (default: False)
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```
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</details>
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<details>
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<summary>🤖 <strong>extract(...)</strong></summary>
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Extract specific information from websites using AI-powered natural language processing.
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```python
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- `query`: Natural language query containing what to extract and from which URL (required)
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- `llm_key`: OpenAI API key (optional - uses OPENAI_API_KEY env variable if not provided)
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# Returns: Extracted content as string with metadata attributes
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# Available attributes: .url, .query, .source_title, .token_usage, .content_length
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```
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</details>
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<details>
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<summary>🌐 <strong>connect_browser(...)</strong></summary>
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BROWSER_ZONE=your_browser_zone # Optional
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BRIGHTDATA_BROWSER_USERNAME=username-zone-name # For browser automation
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BRIGHTDATA_BROWSER_PASSWORD=your_browser_password # For browser automation
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OPENAI_API_KEY=your_openai_api_key # For extract() function
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```
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</details>

brightdata/__init__.py

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)
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from .utils import parse_content, parse_multiple, extract_structured_data
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__version__ = "1.1.1"
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__version__ = "1.1.2"
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__author__ = "Bright Data"
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__email__ = "[email protected]"
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