Collect ~1,000 LinkedIn Company Headcount Screenshots — 48hr Turnaround (Simple, Repetitive Task)

I need screenshots of the "Total employee count" chart from the LinkedIn Insights tab for 1,000 companies, delivered within 48 hours of starting. This is a repetitive data-collection task — no analysis or writing required. What I'll provide: A CSV with these columns: company_id — a unique numeric ID for each company company_name — for your reference only, not used in the deliverable linkedin_url — the company's LinkedIn page (present for ~95% of rows) website_fallback — the company's website, filled in only for the ~5% of rows where linkedin_url is blank What I need from you: For each company in the list: If linkedin_url is filled in, go straight to that page. If it's blank, use website_fallback and search "[company name] LinkedIn" to find their page — don't skip these rows, they still count toward the deliverable. Go to the company's LinkedIn page → Insights tab (or wherever the employee headcount trend graph is shown — some pages call this "Headcount growth") Screenshot just the headcount trend chart — crop tightly, no LinkedIn navigation bar, sidebar, or other page chrome. Just the chart itself, not the whole page. See attached screenshot example. Save the screenshot as a PNG file named exactly with that company's company_id — for example, if the company_id is 184920, the file must be named 184920.png. No company names, dates, or other text in the filename. Save all screenshots into a single flat folder — no subfolders, no organizing by letter/date/batch. If a company has no headcount graph available (private page, no data, page doesn't exist, etc.), skip it and note the company_id in a simple text file (missing.txt, one ID per line) so I know which ones weren't found. Consistency notes: Please keep screenshot dimensions roughly consistent across all companies if possible (doesn't need to be pixel-exact, just don't wildly vary zoom level/window size). PNG format only. Deliverable is: one flat folder of [company_id].png files + one missing.txt for any companies you couldn't find data for.