LinkedIn Post Date Extractor

Free tool to find the exact publish date and time of any LinkedIn post in two clicks.

How to See the Exact Date of a LinkedIn Post

To see the exact date of a LinkedIn post, copy the post URL into Sonarly’s LinkedIn date extractor. It works as a LinkedIn post date finder when LinkedIn only shows relative dates like “2w”, “3mo”, or “1y”. Paste one post URL for a quick lookup, or upload a CSV when you need to extract post dates in bulk.


Option 1: Copy and Paste the LinkedIn Post URL

Use this workflow when you want to check one LinkedIn post or a short list of posts. The video shows how to copy a post URL and extract the exact publish date in two clicks.


  1. Open the LinkedIn post you want to check.
  2. Copy the full post URL from the browser address bar or the LinkedIn share menu.
  3. Paste the URL into Sonarly’s LinkedIn Post Date Extractor.
  4. Click Extract date to get the exact post date, local time, and UTC timestamp.
  5. Copy the result or export it for your report.

This is the best option when you need to find the exact date of one LinkedIn post while researching a profile, company page, or competitor update.


Option 2: Upload a CSV from Excel or Google Sheets

Use CSV upload when you already have LinkedIn post URLs in Excel, Google Sheets, a CRM export, or a monitoring list. Sonarly reads the URLs and returns exact post dates for the supported rows.


  1. Put one LinkedIn post URL per row in your spreadsheet.
  2. Export the sheet as CSV or TXT.
  3. Click CSV in the extractor and upload the file.
  4. Review the detected LinkedIn URLs before processing.
  5. Download the finished CSV with the cleaned URL, local date, and UTC date.

CSV upload is useful for content audits, competitor monitoring, and checking the latest public LinkedIn post date across multiple saved URLs.


Supported LinkedIn Post URL Formats

The extractor is designed for public LinkedIn post URLs that contain a supported post identifier or LinkedIn activity ID. It works best with URLs copied directly from the post page, browser address bar, or LinkedIn share menu.

  • LinkedIn company post URLs with an activity ID.
  • LinkedIn profile post URLs with an activity ID.
  • Feed update URLs that include a decodable post identifier.
  • CSV files with one LinkedIn post URL per row.

Private posts, deleted posts, restricted content, shortened redirect links, and malformed URLs may fail because the post date cannot be decoded reliably.


LinkedIn Activity ID Timestamp Decode: How Post Date Extraction Works

Many LinkedIn post URLs contain a long numeric activity ID. In supported URLs, that ID includes timestamp information, which lets the extractor return a more precise result than LinkedIn’s relative date label.

Sonarly reads the post URL, detects the supported identifier, decodes the timestamp where possible, and formats the result as local time and UTC. You do not need to manually decode the LinkedIn activity ID, convert Unix timestamps, or build spreadsheet formulas.


Why Extract Exact LinkedIn Post Dates

Exact LinkedIn post dates matter when relative dates are too vague. A label like “3w” may be fine for browsing, but it is not precise enough for campaign reports, competitive research, or monitoring workflows.

  • Content audits: match posts to launches, campaigns, and reporting periods.
  • Competitor research: compare posting frequency and recency across companies.
  • Monitoring: check the latest public LinkedIn post date for a company or profile.
  • Performance analysis: connect engagement metrics to the real publishing date.
  • Exports: enrich spreadsheets with exact dates for filtering and sorting.


Manual Methods for Finding LinkedIn Post Dates

You can sometimes find a LinkedIn post date manually by opening the post, checking the visible relative date, and inspecting the URL for an activity ID. This is workable for one-off checks, but it becomes slow and inconsistent when you need exact dates for many posts.

Manual decoding also creates timezone problems. If one report uses local time and another uses UTC, the same post can appear on different dates. The extractor returns structured date outputs so reporting stays consistent.


Common Issues When Extracting LinkedIn Post Dates

If a URL fails, check the source first. Most extraction errors come from unsupported, private, shortened, or incomplete LinkedIn URLs.

  • Use the full LinkedIn post URL instead of a shortened redirect link.
  • Make sure the post is public and still available.
  • Copy the URL from the post page or share menu, not from a search result.
  • For CSV uploads, keep one URL per row and remove empty rows.
  • If a post has no supported activity ID, the exact date may not be extractable.

For best results, keep the original LinkedIn post URL next to the extracted date in your spreadsheet. That makes failed rows easier to verify and re-check later.

Frequently Asked Questions

Copy the LinkedIn post URL, paste it into the extractor, and run the check. The tool returns the exact publish date and time when the URL contains a supported post identifier.

Sonarly does not scan company pages automatically. Open the company’s latest public LinkedIn post, copy that post URL, and paste it into the extractor. For multiple known post URLs, upload them as a CSV.

A LinkedIn activity ID is an identifier that appears in many LinkedIn post URLs. In supported URLs, it can be decoded into the original post timestamp.

Yes. For supported post URLs, Sonarly works as a LinkedIn timestamp extractor and post time extractor. It decodes the post identifier and returns the publish date in local time and UTC.

Yes, the extractor supports public LinkedIn company post URLs when the URL contains a supported activity or post identifier.

Yes. Add one LinkedIn post URL per row, upload the CSV, and export the extracted dates for reporting or spreadsheet analysis.

The most common reasons are private posts, deleted posts, shortened redirect links, incomplete URLs, or URLs without a supported LinkedIn activity ID.

Yes. Returning both local time and UTC helps prevent timezone confusion when you compare posts across countries or reporting systems.