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Awesome Lists Submission Tracker

Target Lists

1. awesome-python

Repo: https://github.com/vinta/awesome-python Category: Web Frameworks > Third Party APIs Status: ⏳ To Submit

Submission Text:

* [oilpriceapi](https://github.com/oilpriceapi/python-sdk) - Official Python SDK for OilPriceAPI - Real-time and historical oil & commodity prices with Pandas integration.

Steps:

  1. Fork https://github.com/vinta/awesome-python
  2. Add entry under "Third Party APIs" section
  3. Submit PR with title: "Add oilpriceapi - Commodity price data SDK"
  4. Follow contribution guidelines

2. awesome-python (Financial section)

Repo: https://github.com/vinta/awesome-python Category: Science and Data Analysis > Finance Status: ⏳ To Submit

Submission Text:

* [oilpriceapi](https://github.com/oilpriceapi/python-sdk) - Real-time and historical commodity price data for energy trading and financial analysis.

3. awesome-financial-data

Repo: https://github.com/wilsonfreitas/awesome-quant Category: Data Sources Status: ⏳ To Submit

Submission Text:

* [OilPriceAPI](https://oilpriceapi.com) - Real-time and historical oil & energy commodity prices. [Python SDK](https://github.com/oilpriceapi/python-sdk)

4. awesome-api

Repo: https://github.com/TonnyL/Awesome_APIs Category: Finance Status: ⏳ To Submit

Submission Text:

* [OilPriceAPI](https://oilpriceapi.com) - Real-time oil and commodity price data API

5. awesome-datasets

Repo: https://github.com/awesomedata/awesome-public-datasets Category: Economics > Finance Status: ⏳ To Submit

Submission Text:

* [OilPriceAPI](https://oilpriceapi.com) - Historical oil and energy commodity prices via API

6. awesome-data-engineering

Repo: https://github.com/igorbarinov/awesome-data-engineering Category: Data Sources Status: ⏳ To Submit

7. awesome-pandas

Repo: https://github.com/tommyod/awesome-pandas Category: Data Sources / APIs Status: ⏳ To Submit

Submission Text:

* [oilpriceapi](https://github.com/oilpriceapi/python-sdk) - Commodity price data with first-class Pandas DataFrame support

Submission Priority

  1. HIGH PRIORITY (Submit Today)

    • awesome-python (Third Party APIs)
    • awesome-python (Finance)
    • awesome-quant

  2. MEDIUM PRIORITY (This Week)

    • awesome-api
    • awesome-datasets
    • awesome-pandas

  3. LOWER PRIORITY (Next Week)

    • awesome-data-engineering

Newsletter Submissions

Python Weekly

Site: https://www.pythonweekly.com/ Submission: https://www.pythonweekly.com/submit Status: ⏳ To Submit

Submission Form:

  • Title: "OilPriceAPI Python SDK - Real-time Commodity Prices"
  • URL: https://github.com/oilpriceapi/python-sdk
  • Description: Official Python SDK for OilPriceAPI with Pandas integration, async support, and CLI tools. Get real-time and historical oil & energy commodity prices for trading and analysis.

PyCoder's Weekly

Site: https://pycoders.com/ Submission: Email to editors@pycoders.com Status: ⏳ To Submit

Email Template:

Subject: Submission: OilPriceAPI Python SDK

Hi PyCoder's Weekly Team,

I'd like to submit our Python SDK for consideration in an upcoming newsletter:

Project: OilPriceAPI Python SDK
GitHub: https://github.com/oilpriceapi/python-sdk
PyPI: https://pypi.org/project/oilpriceapi/

Description:
Official Python SDK for real-time and historical oil & commodity price data. Features include:
- Pandas DataFrame integration
- Async/await support
- Built-in caching and rate limit handling
- Technical indicators (SMA, RSI, MACD)
- CLI tool included

Perfect for energy traders, financial analysts, and data scientists working with commodity prices.

Thanks for considering!
Best regards,
OilPriceAPI Team

Python Bytes Podcast

Site: https://pythonbytes.fm/ Submission: https://pythonbytes.fm/suggest-a-topic Status: ⏳ To Submit (Lower priority)

Reddit Submissions

r/Python

Subreddit: https://www.reddit.com/r/Python/ Rules: Check rules before posting (no spam, provide value) Status: ⏳ To Submit

Post Title Options:

  1. "[P] OilPriceAPI Python SDK - Real-time commodity prices with Pandas integration"
  2. "Released: Python SDK for oil & commodity price data (Free tier available)"
  3. "Show r/Python: OilPriceAPI SDK with async support and technical indicators"

Post Content:

Hi r/Python!

I've been working on a Python SDK for OilPriceAPI and wanted to share it with the community.

**What it does:**
- Real-time and historical oil & commodity price data
- First-class Pandas DataFrame support
- Async/await for high-performance applications
- Built-in technical indicators (SMA, RSI, Bollinger Bands, etc.)
- CLI tool for quick data exports

**Links:**
- GitHub: https://github.com/oilpriceapi/python-sdk
- PyPI: https://pypi.org/project/oilpriceapi/
- Docs: https://docs.oilpriceapi.com/sdk/python

**Quick example:**
```python
from oilpriceapi import OilPriceAPI

client = OilPriceAPI()
df = client.prices.to_dataframe(
    commodity="BRENT_CRUDE_USD",
    start="2024-01-01"
)
print(df.describe())

Perfect for:

  • Financial/trading analysis
  • Energy market research
  • Data science projects
  • Academic research

Free tier includes 100 requests (lifetime). Would love feedback from the community!


**Best Time to Post:** Tuesday-Thursday, 9-11am EST

---

### r/datascience
**Subreddit:** https://www.reddit.com/r/datascience/
**Status:** ⏳ To Submit (After r/Python)

---

### r/algotrading
**Subreddit:** https://www.reddit.com/r/algotrading/
**Focus:** Trading/quant angle
**Status:** ⏳ To Submit

**Post Title:**
"Python SDK for commodity price data - backtesting oil trading strategies"

---

## Blog Post / Announcement

### Dev.to Article
**Platform:** https://dev.to/
**Status:** ⏳ To Write

**Article Title Ideas:**
1. "Building a Python SDK for Real-Time Commodity Prices"
2. "How to Analyze Oil Price Data with Pandas and Python"
3. "From Idea to PyPI: Launching the OilPriceAPI Python SDK"

**Article Outline:**
- Problem: Getting reliable commodity price data is expensive
- Solution: OilPriceAPI + Python SDK
- Features walkthrough with code examples
- Use cases (trading, analysis, research)
- Technical architecture highlights
- Call to action (try free tier)

---

### Medium Article
**Platform:** https://medium.com/
**Status:** ⏳ To Write (cross-post from dev.to)

---

## Social Media

### Twitter/X Thread
**Account:** @oilpriceapi (if exists) or personal
**Status:** ⏳ To Post

**Thread:**

🚀 Excited to announce the OilPriceAPI Python SDK v1.0!

Get real-time oil & commodity prices in your Python apps with just a few lines of code.

🧵 Thread with features and examples 👇

1/ Quick start: pip install oilpriceapi

Get current Brent Crude price: [code screenshot]

2/ Built for data scientists:

  • First-class Pandas integration
  • Export to DataFrame with one line
  • Technical indicators included [screenshot]

3/ Production-ready: ✅ Async/await support ✅ Smart caching ✅ Rate limit handling ✅ Full type hints ✅ CLI tool

4/ Perfect for: 📊 Trading analysis ⚡ Energy research 📈 Financial modeling 🎓 Academic research

Free tier: 100 requests (lifetime) PyPI: pypi.org/project/oilpriceapi/ GitHub: github.com/oilpriceapi/python-sdk

#Python #DataScience #Trading #Energy


---

### LinkedIn Post
**Status:** ⏳ To Post

**Post:**

Excited to share the OilPriceAPI Python SDK! 🎉

After months of development, we've launched a Python SDK that makes commodity price data accessible to developers, analysts, and traders.

Key features: ✅ Real-time and historical data ✅ Pandas DataFrame integration ✅ Async support for high-performance apps ✅ Built-in technical indicators ✅ Free tier to get started

Perfect for:

  • Energy trading firms
  • Financial analysts
  • Data scientists
  • Academic researchers

Check it out on PyPI: https://pypi.org/project/oilpriceapi/

#Python #DataScience #EnergyTrading #FinTech #OpenSource


---

## Progress Tracker

**Completed:**
- [x] README with badges
- [x] CODE_OF_CONDUCT.md
- [x] CONTRIBUTING.md
- [x] EXAMPLES.md
- [x] Package published to PyPI

**In Progress:**
- [ ] Awesome list submissions
- [ ] Newsletter submissions
- [ ] Reddit posts
- [ ] Blog articles

**To Do:**
- [ ] Monitor submissions and respond to feedback
- [ ] Track referral traffic from each source
- [ ] Measure conversion rates

---

## Success Metrics

**Track:**
- PyPI downloads (current baseline: ?)
- GitHub stars (current: ?)
- Website signups from PyPI referral
- Community mentions/discussions

**Goals (30 days):**
- 500+ PyPI downloads/month
- 50+ GitHub stars
- 3+ community blog posts/mentions
- Featured in 1+ newsletter