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Merge pull request #27 from brightdata/dev
Add scraper fixes
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.gitignore

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.abstra/
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# Visual Studio Code
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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# you could uncomment the following to ignore the entire vscode folder
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# .vscode/
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*.log
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.cache/
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probe
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# Development docs and probe tests (not for repo)
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devdocs/
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probe_tests/

.pre-commit-config.yaml

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- id: ruff
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args: [--fix, --exit-non-zero-on-fix]
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v1.8.0
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hooks:
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- id: mypy
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additional_dependencies: [types-all]
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args: [--config-file=pyproject.toml]
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# Disabled until type errors are fixed - see devdocs/enhancements/type_errors.md
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# - repo: https://github.com/pre-commit/mirrors-mypy
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# rev: v1.8.0
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# hooks:
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# - id: mypy
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# additional_dependencies:
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# - types-requests
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# - types-aiofiles
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# - pydantic
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# args: [--config-file=pyproject.toml]

CHANGELOG.md

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# Bright Data Python SDK Changelog
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## Version 2.1.2 - Web Scrapers & Notebooks
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### 🐛 Bug Fixes
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#### LinkedIn Job Search
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Fixed `client.search.linkedin.jobs()` to use the correct discovery dataset when searching by keyword/location. Previously it was incorrectly using the URL-based job scraper dataset which expected single job URLs, not search parameters.
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### 📓 Notebooks
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#### New Notebooks
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- `notebooks/web_scrapers/linkedin.ipynb` - Complete LinkedIn scraper tests for all endpoints
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- `notebooks/03_serp.ipynb` - Google Search API tests
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- `notebooks/04_web_unlocker.ipynb` - Web Unlocker HTML scraping tests
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#### Updated Notebooks
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- `notebooks/02_pandas_integration.ipynb` - Efficient batch scraping with `asyncio.gather()` pattern
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---
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## Version 2.1.1 - Instagram Scrapers & Version Centralization
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### ✨ New Features
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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
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- [ ] Validate platform-specific scraper migrations

benchmarks/bench_async_vs_sync.py

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"""Benchmark: Async vs Sync performance."""
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"""Benchmark: Batch operations performance."""
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benchmarks/bench_memory_usage.py

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"""Benchmark: Memory usage."""
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examples/01_simple_scrape.py

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"""Example: Simple scraping."""
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examples/02_async_scrape.py

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"""Example: Async scraping."""
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examples/03_batch_scraping.py

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"""Example: Batch scraping."""
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"""Example: Specialized scrapers."""
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