# SerpApi publishes tutorial on building a remote job finder with OpenAI's Decisions API

> SerpApi released a blog post demonstrating how to combine its search API with OpenAI's Decisions API to filter remote job listings based on user preferences.

- Canonical: https://extractfeed.io/story/serpapi-publishes-tutorial-on-building-a-remote-job-finder-w-0b7d0ef/
- JSON: https://extractfeed.io/api/v1/stories/serpapi-publishes-tutorial-on-building-a-remote-job-finder-w-0b7d0ef.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-10-09T01:21:17.072157+00:00 · Updated: 2026-10-09T01:21:17.072157+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- SerpApi: SerpApi released a blog post demonstrating how to combine its search API with OpenAI's Decisions API to filter remote job listings based on user preferences.

## Why it matters
This tutorial showcases a practical integration between a web scraping API and an AI decision-making endpoint, highlighting a growing trend of using LLMs to process and filter scraped data. For practitioners, it illustrates a pattern that could be applied to many other search-and-filter use cases beyond job hunting. The piece also serves as indirect promotion for both SerpApi and OpenAI's Decisions API, signaling how vendors are positioning their tools for AI-assisted data extraction workflows.

## Sources
- Primary source · SerpApi · 2026-10-08 — [Introduction to OpenAI's Decisions API: Building a Remote Job Finder with SerpApi](https://serpapi.com/blog/introduction-to-openais-decisions-api-building-a-remote-job-finder-with-serpapi/)

## Watch next
Will OpenAI's Decisions API see broader adoption in web scraping pipelines beyond tutorial examples?

Topics: SerpApi, OpenAI, openai, decisions-api, serpapi, job-finder, tutorial, ai-integration

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extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md
