Real-Time M&A Slack Alert Bot -- 2
Краткое
Freelancer Client is hiring: Real-Time M&A Slack Alert Bot -- 2.
Location: Remote
I need a small, self-hosted agent that watches publicly available news, filings and press releases for any new M&A activity in the US mortgage industry, then posts a message to a dedicated Slack channel the moment a deal appears. Each alert must include the companies involved, the announced or estimated transaction amount and the date of the deal, so my team can act on it immediately.
What you'll do:
• Continuously monitor the chosen sources, ideally polling every few minutes without breaching rate limits.
• Detect only genuine mergers or acquisitions that involve a mortgage-related business operating in the United States.
• Parse and normalize the company names, transaction amount (if disclosed) and announcement date.
• Immediately push a well-formatted Slack message (Markdown or Block Kit) that highlights those three data points, plus a link to the original article or filing for context.
• Handle duplicates gracefully and allow easy addition or removal of sources through a simple config file or environment variable.
• 1. All source code in a Git-ready folder.
• 2. A clear README with step-by-step setup instructions, including how to create and secure the Slack webhook.
• 3. A short document outlining which sources you tapped and how to swap or expand them later.
Skills: PHP, Python, Linux, Software Architecture, Git, Artificial Intelligence, BeautifulSoup, Slack, API Development
Budget: $699–$999 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Оригинал
I need a small, self-hosted agent that watches publicly available news, filings and press releases for any new M&A activity in the US mortgage industry, then posts a message to a dedicated Slack channel the moment a deal appears. Each alert must include the companies involved, the announced or estimated transaction amount and the date of the deal, so my team can act on it immediately.
Only two tools are at my disposal: Copilot (for coding assistance) and our existing Slack workspace. I do not want to buy or subscribe to any premium data feeds, so the solution must rely on open-source sources—free RSS feeds, publicly indexed sites, Edgar filings, or other no-cost endpoints—plus standard libraries (e.g., Python requests, BeautifulSoup, feedparser) and Slack’s incoming-webhook API. A lightweight deployment I can run on a local Windows box, a small Linux VM or a simple cloud function is fine as long as it stays within free-tier limits.
The core responsibilities:
• Continuously monitor the chosen sources, ideally polling every few minutes without breaching rate limits.
• Detect only genuine mergers or acquisitions that involve a mortgage-related business operating in the United States.
• Parse and normalize the company names, transaction amount (if disclosed) and announcement date.
• Immediately push a well-formatted Slack message (Markdown or Block Kit) that highlights those three data points, plus a link to the original article or filing for context.
• Handle duplicates gracefully and allow easy addition or removal of sources through a simple config file or environment variable.
I’ll need from you:
1. All source code in a Git-ready folder.
2. A clear README with step-by-step setup instructions, including how to create and secure the Slack webhook.
3. A short document outlining which sources you tapped and how to swap or expand them later.
4. A quick call or screen share (15–20 min) so I can see it running and ask final questions.
If you have creative ideas for enriching the alerts while staying strictly within free resources, even better. Let me know roughly how long you expect to take, and any assumptions you’ll make about hosting or scheduling the agent.
Локация & Details
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