### Install and Configure OpenAlex Downloader

Source: https://github.com/ourresearch/openalex-official/blob/main/examples/notebooks/download_workflow.ipynb

Initial setup steps including package installation and environment variable configuration for the OpenAlex API key.

```python
# !pip install openalex-content-downloader
import os
import asyncio

os.environ["OPENALEX_API_KEY"] = "your-api-key-here"

from openalex_content.api_client import OpenAlexAPIClient
from openalex_content.downloader import DownloadConfig, DownloadOrchestrator
from openalex_content.progress import ProgressTracker
from openalex_content.utils import ContentFormat, StorageType
```

--------------------------------

### Execute Content Download

Source: https://github.com/ourresearch/openalex-official/blob/main/examples/notebooks/download_workflow.ipynb

Configures and runs the download orchestrator to fetch files. Supports progress tracking and allows for resuming interrupted tasks.

```python
config = DownloadConfig(
    api_key=os.environ["OPENALEX_API_KEY"],
    output_path="./ml_papers_2024",
    storage_type=StorageType.LOCAL,
    filter_str="publication_year:2024,topics.id:T10207",
    content_format=ContentFormat.PDF,
    with_metadata=True,
    workers=20,
)

progress = ProgressTracker(output_dir=config.output_path, quiet=True)
orchestrator = DownloadOrchestrator(config)

try:
    await orchestrator.run(progress_tracker=progress)
except KeyboardInterrupt:
    print("\nDownload paused.")
```

--------------------------------

### Configure S3 Storage and CLI Usage

Source: https://github.com/ourresearch/openalex-official/blob/main/examples/notebooks/download_workflow.ipynb

Alternative configuration for S3 cloud storage and command-line interface usage for production environments.

```python
config = DownloadConfig(
    storage_type=StorageType.S3,
    s3_bucket="my-bucket",
    s3_prefix="openalex/",
    ...
)
```

```bash
openalex-content download --api-key KEY --output ./pdfs --filter "publication_year:2024"
```

--------------------------------

### Download data to S3 storage using CLI

Source: https://github.com/ourresearch/openalex-official/blob/main/README.md

Configures the OpenAlex CLI to stream downloaded data directly to an Amazon S3 bucket. This approach is recommended for large-scale downloads to bypass local disk limitations.

```bash
openalex download \
  --api-key KEY \
  --storage s3 \
  --s3-bucket my-corpus \
  --workers 200
```

--------------------------------

### Examine Downloaded Files

Source: https://github.com/ourresearch/openalex-official/blob/main/examples/notebooks/download_workflow.ipynb

Utility script to verify the number of downloaded PDFs and inspect the associated JSON metadata files.

```python
from pathlib import Path
import json

output_dir = Path("./ml_papers_2024")
pdf_files = list(output_dir.rglob("*.pdf"))
json_files = list(output_dir.rglob("*.json"))

if json_files:
    with open(json_files[0]) as f:
        metadata = json.load(f)
    print(f"Title: {metadata.get('title')}")
```

--------------------------------

### Verify API Status

Source: https://github.com/ourresearch/openalex-official/blob/main/examples/notebooks/download_workflow.ipynb

Checks the current API rate limits to ensure connectivity and available quota before initiating large download tasks.

```python
async def check_status():
    client = OpenAlexAPIClient(api_key=os.environ["OPENALEX_API_KEY"])
    try:
        status = await client.get_status()
        print(f"Rate limit remaining: {status.rate_limit_remaining:,}")
    finally:
        await client.close()

await check_status()
```

--------------------------------

### Count Filtered Works

Source: https://github.com/ourresearch/openalex-official/blob/main/examples/notebooks/download_workflow.ipynb

Queries the OpenAlex API to determine the number of records matching specific criteria, such as publication year or research topics.

```python
import aiohttp

async def count_works(filter_str: str):
    api_key = os.environ["OPENALEX_API_KEY"]
    url = "https://api.openalex.org/works"
    params = {
        "filter": f"has_content.pdf:true,{filter_str}",
        "per-page": 1,
        "api_key": api_key,
    }
    
    async with aiohttp.ClientSession() as session:
        async with session.get(url, params=params) as response:
            data = await response.json()
            return data.get("meta", {}).get("count", 0)

filter_str = "publication_year:2024,topics.id:T10207"
count = await count_works(filter_str)
print(f"Works matching filter: {count:,}")
```

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