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CHANGELOG.md

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# Changelog
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# Bright Data Python SDK Changelog
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All notable changes to this project will be documented in this file.
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## Version 2.0.0 - Complete Architecture Rewrite
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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### 🚨 Breaking Changes
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## [2.0.0] - TBD
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#### Client Initialization
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```python
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# OLD (v1.1.3)
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from brightdata import bdclient
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client = bdclient(api_token="your_token")
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### Added
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- Initial release of the refactored Bright Data Python SDK
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- Async-first architecture with sync wrappers
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- Registry pattern for extensible scrapers
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- Rich result objects (ScrapeResult, CrawlResult)
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- Comprehensive type hints
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- Modular architecture with clear separation of concerns
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# NEW (v2.0.0)
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from brightdata import BrightDataClient
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client = BrightDataClient(token="your_token")
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```
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### Changed
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- Complete rewrite from v1.x
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- Minimum Python version: 3.9+
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#### API Structure Changes
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- **Old**: Flat API with methods directly on client (`client.scrape()`, `client.search()`)
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- **New**: Hierarchical service-based API (`client.scrape.amazon.products()`, `client.search.google()`)
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### Breaking Changes
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- `bdclient``BrightData` (class rename)
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- Returns `ScrapeResult` objects instead of raw dict/str
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- Async methods require `await`
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#### Method Naming Convention
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```python
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# OLD
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client.scrape_linkedin.profiles(url)
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client.search_linkedin.jobs()
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# NEW
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client.scrape.linkedin.profiles(url)
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client.search.linkedin.jobs()
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```
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#### Return Types
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- **Old**: Raw dictionaries and strings
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- **New**: Structured `ScrapeResult` and `SearchResult` objects with metadata and timing metrics
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#### Python Version Requirement
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- **Old**: Python 3.8+
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- **New**: Python 3.9+ (dropped Python 3.8 support)
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### 🎯 Major Architectural Changes
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#### 1. Async-First Architecture
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**Old**: Synchronous with `ThreadPoolExecutor` for concurrency
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```python
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# Old approach - thread-based parallelism
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with ThreadPoolExecutor(max_workers=10) as executor:
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results = executor.map(self.scrape, urls)
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```
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**New**: Native async/await throughout with sync wrappers
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```python
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# New approach - native async
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async def scrape_async(self, url):
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async with self.engine:
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return await self._execute_workflow(...)
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# Sync wrapper for compatibility
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def scrape(self, url):
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return asyncio.run(self.scrape_async(url))
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```
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#### 2. Service-Based Architecture
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**Old**: Monolithic `bdclient` class with all methods
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**New**: Layered architecture with specialized services
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```
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BrightDataClient
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├── scrape (ScrapeService)
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│ ├── amazon (AmazonScraper)
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│ ├── linkedin (LinkedInScraper)
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│ └── instagram (InstagramScraper)
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├── search (SearchService)
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│ ├── google
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│ ├── bing
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│ └── yandex
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└── crawler (CrawlService)
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```
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#### 3. Workflow Pattern Implementation
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**Old**: Direct HTTP requests with immediate responses
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**New**: Trigger/Poll/Fetch workflow for long-running operations
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```python
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# New workflow pattern
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snapshot_id = await trigger(payload) # Start job
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status = await poll_until_ready(snapshot_id) # Check progress
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data = await fetch_results(snapshot_id) # Get results
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```
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### ✨ New Features
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#### 1. Comprehensive Platform Support
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| Platform | Old SDK | New SDK | New Capabilities |
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|----------|---------|---------|------------------|
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| Amazon ||| Products, Reviews, Sellers (separate datasets) |
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| LinkedIn | ✅ Basic | ✅ Full | Enhanced scraping and search methods |
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| Instagram ||| Profiles, Posts, Comments, Reels |
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| Facebook ||| Posts, Comments, Groups |
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| ChatGPT | ✅ Basic | ✅ Enhanced | Improved prompt interaction |
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| Google Search || ✅ Enhanced | Dedicated service with better structure |
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| Bing/Yandex || ✅ Enhanced | Separate service methods |
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#### 2. Manual Job Control
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```python
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# New capability - fine-grained control over scraping jobs
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job = await scraper.trigger(url)
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# Do other work...
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status = await job.status_async()
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if status == "ready":
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data = await job.fetch_async()
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```
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#### 3. Type-Safe Payloads (Dataclasses)
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```python
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# New - structured payloads with validation
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from brightdata import AmazonProductPayload
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payload = AmazonProductPayload(
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url="https://amazon.com/dp/B123",
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reviews_count=100
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)
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# Old - untyped dictionaries
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payload = {"url": "...", "reviews_count": 100}
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```
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#### 4. CLI Tool
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```bash
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# New - command-line interface
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brightdata scrape amazon products --url https://amazon.com/dp/B123
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brightdata search google --query "python sdk"
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brightdata crawler discover --url https://example.com --depth 3
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# Old - no CLI support
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```
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#### 5. Registry Pattern for Scrapers
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```python
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# New - self-registering scrapers
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@register("amazon")
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class AmazonScraper(BaseWebScraper):
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DATASET_ID = "gd_l7q7dkf244hwxbl93"
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```
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#### 6. Advanced Telemetry
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- SDK function tracking via stack inspection
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- Microsecond-precision timestamps for all operations
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- Comprehensive cost tracking per platform
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- Detailed timing metrics in results
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### 🚀 Performance Improvements
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#### Connection Management
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- **Old**: New connection per request, basic session management
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- **New**: Advanced connection pooling (100 total, 30 per host) with keep-alive
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#### Concurrency Model
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- **Old**: Thread-based with GIL limitations
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- **New**: Event loop-based with true async concurrency
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#### Resource Management
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- **Old**: Basic cleanup with requests library
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- **New**: Triple-layer cleanup strategy with context managers and idempotent operations
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#### Rate Limiting
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- **Old**: No built-in rate limiting
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- **New**: Optional `AsyncLimiter` integration (10 req/sec default)
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### 📦 Dependency Changes
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#### Removed Dependencies
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- `beautifulsoup4` - Parsing moved to server-side
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- `openai` - Not needed for ChatGPT scraping
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#### New Dependencies
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- `tldextract` - Domain extraction for registry
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- `pydantic` - Data validation (optional)
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- `aiolimiter` - Rate limiting support
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- `click` - CLI framework
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#### Updated Dependencies
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- `aiohttp>=3.8.0` - Core async HTTP client (was using requests for sync)
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### 🔧 Configuration Changes
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#### Environment Variables
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```bash
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# Supported in both old and new versions:
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BRIGHTDATA_API_TOKEN=token
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WEB_UNLOCKER_ZONE=zone
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SERP_ZONE=zone
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BROWSER_ZONE=zone
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BRIGHTDATA_BROWSER_USERNAME=username
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BRIGHTDATA_BROWSER_PASSWORD=password
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# Note: Rate limiting is NOT configured via environment variable
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# It must be set programmatically when creating the client
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```
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#### Client Parameters
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```python
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# Old (v1.1.3)
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client = bdclient(
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api_token="token", # Required parameter name
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auto_create_zones=True, # Default: True
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web_unlocker_zone="sdk_unlocker", # Default from env or 'sdk_unlocker'
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serp_zone="sdk_serp", # Default from env or 'sdk_serp'
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browser_zone="sdk_browser", # Default from env or 'sdk_browser'
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browser_username="username",
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browser_password="password",
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browser_type="playwright",
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log_level="INFO",
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structured_logging=True,
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verbose=False
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)
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# New (v2.0.0)
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client = BrightDataClient(
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token="token", # Changed parameter name (was api_token)
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customer_id="id", # New parameter (optional)
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timeout=30, # New parameter (default: 30)
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auto_create_zones=False, # Changed default: now False (was True)
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web_unlocker_zone="web_unlocker1", # Changed default name
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serp_zone="serp_api1", # Changed default name
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browser_zone="browser_api1", # Changed default name
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validate_token=False, # New parameter
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rate_limit=10, # New parameter (optional)
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rate_period=1.0 # New parameter (default: 1.0)
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)
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# Note: browser credentials and logging config removed from client init
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```
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### 🔄 Migration Guide
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#### Basic Scraping
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```python
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# Old
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result = client.scrape(url, zone="my_zone", response_format="json")
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# New (minimal change)
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result = client.scrape_url(url, zone="my_zone", response_format="json")
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# New (recommended - platform-specific)
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result = client.scrape.amazon.products(url)
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```
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#### LinkedIn Operations
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```python
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# Old
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profiles = client.scrape_linkedin.profiles(url)
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jobs = client.search_linkedin.jobs(location="Paris")
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# New
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profiles = client.scrape.linkedin.profiles(url)
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jobs = client.search.linkedin.jobs(location="Paris")
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```
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#### Search Operations
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```python
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# Old
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results = client.search(query, search_engine="google")
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# New
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results = client.search.google(query)
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```
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#### Async Migration
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```python
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# Old (sync only)
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result = client.scrape(url)
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# New (async-first)
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async def main():
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async with BrightDataClient(token="...") as client:
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result = await client.scrape_url_async(url)
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# Or keep using sync
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client = BrightDataClient(token="...")
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result = client.scrape_url(url)
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```
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### 🎯 Summary
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Version 2.0.0 represents a **complete rewrite** of the Bright Data Python SDK, not an incremental update. The new architecture prioritizes:
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1. **Modern Python patterns**: Async-first with proper resource management
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2. **Developer experience**: Hierarchical APIs, type safety, CLI tools
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3. **Production reliability**: Comprehensive error handling, telemetry
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4. **Platform coverage**: All major platforms with specialized scrapers
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5. **Flexibility**: Three levels of control (simple, workflow, manual)
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This is a **breaking release** requiring code changes. The migration effort is justified by:
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- 10x improvement in concurrent operation handling
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- 50+ new platform-specific methods
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- Proper async support for modern applications
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- Comprehensive timing and cost tracking
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- Future-proof architecture for new platforms
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### 📝 Upgrade Checklist
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- [ ] Update Python to 3.9+
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- [ ] Update import statements from `bdclient` to `BrightDataClient`
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- [ ] Migrate to hierarchical API structure
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- [ ] Update method calls to new naming convention
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- [ ] Handle new `ScrapeResult`/`SearchResult` return types
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- [ ] Consider async-first approach for better performance
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- [ ] Review and update error handling for new exception types
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- [ ] Test rate limiting configuration if needed
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- [ ] Validate platform-specific scraper migrations

src/brightdata/api/search_service.py

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self._google_service: Optional['GoogleSERPService'] = None
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self._bing_service: Optional['BingSERPService'] = None
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self._yandex_service: Optional['YandexSERPService'] = None
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self._amazon_search: Optional['AmazonSearchScraper'] = None
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self._linkedin_search: Optional['LinkedInSearchScraper'] = None
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self._chatgpt_search: Optional['ChatGPTSearchService'] = None
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self._instagram_search: Optional['InstagramSearchScraper'] = None
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"""Search Yandex synchronously."""
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return asyncio.run(self.yandex_async(query, **kwargs))
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@property
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def amazon(self):
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"""
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Access Amazon search service for parameter-based discovery.
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Returns:
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AmazonSearchScraper for discovering products by keyword and filters
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Example:
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>>> # Search by keyword
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>>> result = client.search.amazon.products(
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... keyword="laptop",
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... min_price=50000, # $500 in cents
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... max_price=200000, # $2000 in cents
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... prime_eligible=True
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... )
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>>>
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>>> # Search by category
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>>> result = client.search.amazon.products(
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... keyword="wireless headphones",
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... category="electronics",
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... condition="new"
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... )
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"""
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if self._amazon_search is None:
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from ..scrapers.amazon.search import AmazonSearchScraper
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self._amazon_search = AmazonSearchScraper(
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bearer_token=self._client.token,
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engine=self._client.engine
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)
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return self._amazon_search
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@property
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def linkedin(self):
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"""
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"""Amazon scraper."""
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from .scraper import AmazonScraper
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from .search import AmazonSearchScraper
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__all__ = ["AmazonScraper"]
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__all__ = ["AmazonScraper", "AmazonSearchScraper"]

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