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Project summary

Research Automation

Freelancer Research & Rate Benchmarking

A market intelligence workflow that searches freelancer profiles, groups results by experience tier, and exports usable pricing research in JSON, CSV, and Markdown.

Repeatable market intelligence workflow

Case file

Delivery components
5
Stack elements
6
problem
Rate conversations and hiring decisions were happening without enough market context.
approach
Turned raw search data into benchmark reports with tiered analysis and notable competitor extraction.
value
Useful for pricing, staffing, and positioning without having to hand-sort marketplace results.
proof
The repo documents presets, filters, export formats, and interpretation guidance for the resulting reports.

Overview

This case distills one recurring business need: understanding what the market actually looks like before making rate, hiring, or positioning calls. Instead of manually browsing profiles, the workflow turns marketplace searches into a repeatable reporting pipeline.

The value is not only in fetching freelancer data. It is in organizing it by experience band, exposing median-rate patterns, surfacing notable competitors, and emitting outputs that non-technical stakeholders can use directly in planning conversations.

Delivery surface

  • Preset and free-form skill queries
  • Experience-tier classification based on hours worked
  • Rate filtering and notable-competitor extraction
  • Exports in JSON, CSV, and Markdown
  • Retry and backoff handling around upstream API limits

Outputs and artifacts

Machine-readable JSON exportsSpreadsheet-friendly CSV outputsStakeholder-facing Markdown summariesTiered rate snapshots for pricing and staffing decisions

Technology stack

PythonMarketplace APIsCSV/JSON exportsMarkdown reportsFilteringStatistical summaries

Related systems and workstreams

Research automation host workspace

Primary internal workspace for the research scripts, report generation, and export outputs behind this benchmark flow.

Adjacent estimation workspace

Related estimating and scoping workstream referenced alongside the broader Upwork tooling ecosystem.

Signals from source material

  • The README explicitly documents presets for backend, frontend, data-science, fullstack, and devops searches.
  • Report outputs are designed for direct use in Excel, Markdown review, and follow-on automation.
  • This work supports pricing, hiring, and market positioning decisions without hand-sorting marketplace results.

Next step

Want the build, not just the summary?

If this is the kind of system you need, the next conversation is usually about the workflow bottleneck, the smallest useful first version, and where the review loop needs to stay visible.

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