Expected duration: 3 - 4 weeks We run a large WordPress-based job board and are looking for an experienced developer to help us automate and simplify our job import process.
We currently collect job listings from around 40 partner and competitor websites (plus Feedly and SourceStack) into a Google Sheet, review and clean them, then import them into WordPress using WP Job Manager. This process works but is complex and partly manual. We want to make it automated, robust and efficient – using Google Apps Script, light AI enrichment, and a clean weekly import routine.
This is a paid development project with a potential long-term maintenance retainer for the right person.
GOALS We want a system that: Runs automatically once a week Scrapes all live jobs from all sources (~40+) Cleans, categorises, and enriches them via AI Distinguishes relevant vs non-relevant jobs Produces a clean CSV ready for import into WordPress Sends a weekly dashboard email showing scraper health, job totals and AI costs Protects featured and special categories during import Runs smoothly at scale (6,000–10,000 jobs per week)
CORE DELIVERABLES
AUTOMATED WEEKLY SYSTEM (GOOGLE APPS SCRIPT) Fully automated weekly scrape of all sites (developer decides the most stable approach per site – API, RSS, sitemap, JSON-LD or HTML). Data cleaning, de-duplication, logo management, and date normalisation. AI enrichment for job type and region (including multiple countries and US states), “Is relevant?” classification (self-learning from manual edits), and a short neutral introduction paragraph. All fields prepared and ready for export to CSV and import into WordPress.
PARTNER VS COMPETITOR HANDLING Partner sites – full content allowed; includes neutral intro + original description; application link goes to the partner’s job page. Competitor sites – limited fields captured; neutral intro + lightly rewritten description encouraging users to click for full details; application link generated via Google search or I’m Feeling Lucky (developer to decide the best approach).
GOOGLE SHEET STRUCTURE Dashboard (first tab) – total jobs, coverage %, AI costs, per-site metrics (green/amber/red indicators). Jobs – Current – all fields ready for CSV export. Sites List – ~40 source sites with type, URL, and expected count. Blacklist – single tab with columns for Title, Description, and Employer exclusions (partial match). Logo – cached logo URLs (≥200px); auto-discovery for new ones. Training Data – captures manual Yes/No changes for Is relevant? learning. Data Validation – controlled lists for job levels, regions, countries, states (US). Archive – where completed data is stored after each import.
WORDPRESS IMPORT (WP ALL IMPORT + WP JOB MANAGER) Configure import template for CSVs exported from the Sheet. Field mapping to include: CC – Job Title, CC – HTML Description, CC – Company Name, CC – Address, CC – Application URL, CC – Job Type, CC – Job Region, CC – Expiry Date / Closing Date, Logo URL. Update jobs via unique job_id. Delete missing jobs except those in protected categories: Featured; Courses, Training & Study; Scholarships & Bursaries; Project Funding; Events. Import only: Early Career, Mid Career, Senior, Volunteer & Internship roles. Must run smoothly and efficiently (6,000–10,000 jobs).
DASHBOARD AND WEEKLY EMAIL SUMMARY Automatic email after each weekly run showing: Total jobs added, updated, or removed. Per-site coverage. Monthly AI costs. Total live jobs on the website (with green/red indicator for ≥5,000 goal). Links to the Sheet and Dashboard.
DOCUMENTATION AND TESTING Clear written documentation (simple, step-by-step). Two supervised weekly cycles to test stability, accuracy and workflow.
SUCCESS CRITERIA 95% job coverage per source. 95% “Is relevant” accuracy within 2 months (eligible for £100 bonus - see below). 95% correct job region and level. AI cost ≤ £100/month. Weekly automation and reporting fully functional. Imports accurate, fast and stable. Protected categories never touched (import process only). 24-hour response / 48-hour fix during build phase.
TIMELINE AND BUDGET Development phase: approximately 3 weeks (including two full weekly test runs). Budget: £900 Bonus: £100 for achieving ≥95% relevance classification accuracy within 2 months. Retainer: Long-term maintenance retainer available (£100/month) if successful.
SKILLS REQUIRED Google Apps Script and automation. Ethical web scraping (RSS, API, sitemap, HTML). AI integration (classification and rewriting). WordPress, WP Job Manager and WP All Import. Data cleaning and normalisation (HTML, dates, CSVs). Dashboard design and automation. Reliability, clarity and long-term mindset.
HOW TO APPLY Applicants with a strong understanding of the task, proven technical experience, and a collaborative, long-term approach will be prioritised.
Deadline: Sunday, 2 November. There’s no need to rush – please take the time to fully understand the brief and ask any questions for clarification before applying.
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