feat(datasets): add 100+ dataset integrations with sample() and export utilities

.gitignore

@@ -1,5 +1,6 @@
 # Archived SDK versions and reference implementations
 archive/
+tests
 
 # Byte-compiled / optimized / DLL files
 __pycache__/

CHANGELOG.md

@@ -1,5 +1,67 @@
 # Bright Data Python SDK Changelog
 
+## Version 2.2.1 - 100 Datasets API
+
+### ✨ New Features
+
+#### Expanded Datasets Coverage
+Added 92 new dataset integrations, bringing the total to **100 datasets**:
+
+- **Luxury Brands**: Loewe, Berluti, Moynat, Hermes, Delvaux, Prada, Montblanc, YSL, Dior, Balenciaga, Bottega Veneta, Celine, Chanel, Fendi
+- **E-commerce**: Amazon (Reviews, Sellers), Walmart, Shopee, Lazada, Zalando, Sephora, Zara, Mango, Massimo Dutti, Asos, Shein, Ikea, H&M, Lego, Mouser, Digikey
+- **Social Media**: Instagram (Profiles, Posts), TikTok, Pinterest (Posts, Profiles), YouTube (Profiles, Videos, Comments), Facebook Pages Posts
+- **Real Estate**: Zillow, Airbnb, Australia Real Estate, Otodom Poland, Zonaprop Argentina, Metrocuadrado, Infocasas Uruguay, Properati, Toctoc, Inmuebles24 Mexico, Yapo Chile
+- **Business Data**: Glassdoor (Companies, Reviews, Jobs), Indeed (Companies, Jobs), ZoomInfo, PitchBook, G2, Trustpilot, TrustRadius, Owler, Slintel, Manta, VentureRadar, Companies Enriched, Employees Enriched
+- **Other**: World Zipcodes, US Lawyers, Google Maps Reviews, Yelp, Xing Profiles, OLX Brazil, Webmotors Brasil, Chileautos, LinkedIn Jobs
+
+#### SERP Pagination Support
+Added sequential querying to retrieve more than 10 search results from Google:
+
+```python
+async with BrightDataClient() as client:
+    # Get up to 50 results with automatic pagination
+    results = await client.search.google(
+        query="python programming",
+        num_results=50  # Fetches multiple pages sequentially
+    )
+```
+
+---
+
+## Version 2.2.0 - Datasets API
+
+### ✨ New Features
+
+#### Datasets API
+Access Bright Data's pre-collected datasets with filtering and export capabilities.
+
+```python
+async with BrightDataClient() as client:
+    # Filter dataset records
+    snapshot_id = await client.datasets.amazon_products(
+        filter={"name": "rating", "operator": ">=", "value": 4.5},
+        records_limit=100
+    )
+    # Download results
+    data = await client.datasets.amazon_products.download(snapshot_id)
+```
+
+**8 Datasets:** LinkedIn Profiles, LinkedIn Companies, Amazon Products, Crunchbase Companies, IMDB Movies, NBA Players Stats, Goodreads Books, World Population
+
+**Export Utilities:**
+```python
+from brightdata.datasets import export_json, export_csv
+export_json(data, "results.json")
+export_csv(data, "results.csv")
+```
+
+### 📓 Notebooks
+- `notebooks/datasets/linkedin/linkedin.ipynb` - LinkedIn datasets (profiles & companies)
+- `notebooks/datasets/amazon/amazon.ipynb` - Amazon products dataset
+- `notebooks/datasets/crunchbase/crunchbase.ipynb` - Crunchbase companies dataset
+
+---
+
 ## Version 2.1.2 - Web Scrapers & Notebooks
 
 ### 🐛 Bug Fixes

LICENSE

@@ -19,4 +19,3 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
-

MANIFEST.in

@@ -4,4 +4,3 @@ include CHANGELOG.md
 include pyproject.toml
 recursive-include src *.py
 recursive-include src *.typed
-

README.md

@@ -1,6 +1,6 @@
 # Bright Data Python SDK
 
-The official Python SDK for [Bright Data](https://brightdata.com) APIs. Scrape any website, get SERP results, bypass bot detection and CAPTCHAs.
+The official Python SDK for [Bright Data](https://brightdata.com) APIs. Scrape any website, get SERP results, bypass bot detection and CAPTCHAs, and access 100+ ready-made datasets.
 
 [![Python](https://img.shields.io/badge/python-3.9%2B-blue)](https://www.python.org/)
 [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
@@ -135,6 +135,55 @@ async with BrightDataClient() as client:
 - `client.scrape.instagram` - profiles, posts, comments, reels
 - `client.scrape.facebook` - posts, comments, reels
 
+## Datasets API
+
+Access 100+ ready-made datasets from Bright Data — pre-collected, structured data from popular platforms.
+
+```python
+async with BrightDataClient() as client:
+    # Filter a dataset — returns a snapshot_id
+    snapshot_id = await client.datasets.imdb_movies(
+        filter={"name": "title", "operator": "includes", "value": "black"},
+        records_limit=5
+    )
+
+    # Download when ready (polls until snapshot is complete)
+    data = await client.datasets.imdb_movies.download(snapshot_id)
+    print(f"Got {len(data)} records")
+
+    # Quick sample: .sample() auto-discovers fields, no filter needed
+    # Works on any dataset
+    snapshot_id = await client.datasets.imdb_movies.sample(records_limit=5)
+```
+
+**Export results to file:**
+
+```python
+from brightdata.datasets import export
+
+export(data, "results.json")   # JSON
+export(data, "results.csv")    # CSV
+export(data, "results.jsonl")  # JSONL
+```
+
+**Available dataset categories:**
+- **E-commerce:** Amazon, Walmart, Shopee, Lazada, Zalando, Zara, H&M, Shein, IKEA, Sephora, and more
+- **Business intelligence:** ZoomInfo, PitchBook, Owler, Slintel, VentureRadar, Manta
+- **Jobs & HR:** Glassdoor (companies, reviews, jobs), Indeed (companies, jobs), Xing
+- **Reviews:** Google Maps, Yelp, G2, Trustpilot, TrustRadius
+- **Social media:** Pinterest (posts, profiles), Facebook Pages
+- **Real estate:** Zillow, Airbnb, and 8+ regional platforms
+- **Luxury brands:** Chanel, Dior, Prada, Balenciaga, Hermes, YSL, and more
+- **Entertainment:** IMDB, NBA, Goodreads
+
+**Discover available fields:**
+
+```python
+metadata = await client.datasets.imdb_movies.get_metadata()
+for name, field in metadata.fields.items():
+    print(f"{name}: {field.type}")
+```
+
 ## Async Usage
 
 Run multiple requests concurrently: