Automated Article Generation and WordPress Posting Tool (Python)

A custom Python tool that researches, writes, and publishes SEO articles to WordPress without human intervention

Content marketing teams spend a disproportionate share of their time on the mechanical parts of the job: searching Google for references, reading competitors' articles, drafting outlines, writing first drafts, adapting them to a CMS, and finally pressing publish. The thinking happens maybe 20% of the day; the rest is plumbing. This Python tool replaces that plumbing with code.

The project delivered a standalone application that takes a list of target keywords, researches them online, drafts full-length articles with GPT, and pushes the result straight into WordPress — hands-free.

The full content pipeline in one script

Keyword-based research via Google Search API For each target keyword, the tool queries the Google Custom Search API to retrieve the top-ranking pages. Their titles, meta descriptions, and URLs feed the next step, giving the writing model a real-world view of what competitors are saying rather than a purely speculative draft.

OpenAI-powered article generation The tool sends the keyword, the research findings, and a carefully crafted system prompt to the OpenAI API. The prompt encodes the client's tone of voice, target article length, heading structure, and SEO requirements. The result is a complete, coherent article ready for publication.

Configurable prompt templates Every client has a different editorial line. The tool exposes a simple configuration layer that lets non-developers tweak the prompt — tone, length, style, mandatory paragraphs, forbidden words — without touching the source code.

Direct WordPress publishing via the REST API Once the article is drafted, the tool authenticates against the WordPress REST API and publishes the piece with the right category, tags, featured image, and SEO metadata. Drafts can also be scheduled for later publication or sent to a human editor for review.

Engineering details that make the tool production-ready

• Rate limiting on both the OpenAI and Google APIs to stay within quotas during bulk runs.
• Error handling baked in: any failed call is logged and retried with exponential backoff.
• Standalone executable packaging so the tool can be deployed on any Windows or Linux machine without installing Python manually — useful for clients who want the automation running on their own infrastructure.
• User-friendly configuration via a plain text config file, with sensible defaults for users who just want to "run and forget".
• Extensible design: the pipeline is modular enough that research sources, writing models, or target CMS can be swapped without rewriting the core logic.

The strategic value for the client

• Content production cost collapses: a multi-article batch runs in minutes, including publishing, instead of spanning several editorial workdays.
• Reliable editorial cadence: publication schedules stop depending on whether the content team is overworked.
• Scalable SEO strategy: targeting dozens of long-tail keywords becomes realistic, unlocking a segment of traffic that manual processes cannot chase.
• Portable approach: the same tool pattern has since been adapted for multilingual content, niche industry blogs, and programmatic SEO campaigns.

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