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LinkedIn Handle Data Extraction

Budget: $100.0 FIXED / ⭐ 5.00 (12) Australia

data-entry, microsoft-excel, lead-generation, linkedin-recruiting

LinkedIn Match & Enrichment — JobAdder Update (AU Candidates/Contacts) Match ~5,000 existing JobAdder records to verified LinkedIn URLs via DataBL, then enrich and write the updated data back into JobAdder. Australian candidates and contacts only. Process: Match — work out the highest-confidence method for resolving each record to a LinkedIn URL using what we already hold. Enrich — once a URL is confirmed, pull as much data against it as DataBL can return (this becomes the anchor for any future updates too). Write-back — push verified updates into JobAdder via the API, using field-overwrite where confidence is high. Stack: Python scripting/automation, JobAdder API (read/write), DataBL. Looking for: strong LinkedIn-matching/data-extraction experience at this level of accuracy, plus solid JobAdder API chops. Side note for scoping: once this match/enrichment pass is done properly, we can lean more on JobAdder's own data (vs. DataBL) for the first client demo — fewer tokens, cheaper first run. Worth a quick chat on how that shapes the build.
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