B2B marketers
Campaign research
Export posts around a product category, event, or competitor term, then group rows by poster, reaction count, and post language before deciding which conversations deserve manual review.
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This LinkedIn Posts Scraper exports visible LinkedIn post search results and organization posts from a signed-in browser session. Import the workflow into the UScraper local desktop app, add approved LinkedIn URLs, complete sign-in or verification when prompted, and collect poster name, follower count, posted time, post content, comments, reposts, and reactions into a CSV.
CSV
7
25 passes
9
Required
At a glance
Use this LinkedIn post extractor when you already have approved source URLs, such as a LinkedIn content search for a keyword or an organization's posts page. The bundled Navigate block includes examples for a post search and a school page, but you can replace them with your own URLs before running.
Works with multiple input URLs
Add LinkedIn content search URLs, company pages, school pages, or organization post feeds to the Navigate block. The loop processes one URL, exports loaded rows, and continues to the next.
Infinite feed handling included
LinkedIn loads posts as the page scrolls. The workflow waits between scrolls, watches for stable page height, and stops when more scrolling no longer reveals useful rows.
CSV built for post analysis
Export names, follower text, post timing, post copy, comment counts, repost counts, and reaction counts for spreadsheet review or social research.
Local desktop execution
The stock template writes to your configured local folder and does not send the exported CSV through UScraper infrastructure.
For related LinkedIn workflows, pair this template with the LinkedIn Jobs Scraper. For broader social monitoring, compare outputs with the Twitter X Scraper or the TikTok Search Scraper Login Required. Browse the full UScraper template library when you need follow-up enrichment.
Who uses it
B2B marketers
Campaign research
Export posts around a product category, event, or competitor term, then group rows by poster, reaction count, and post language before deciding which conversations deserve manual review.
Analysts
LinkedIn benchmarks
Build snapshots of organization posts to compare publishing cadence, engagement signals, recurring themes, and audience response over time.
Agencies
Auditable exports
Keep source URLs and CSV output in a client research folder while separating collection, compliance review, outreach rules, and downstream reuse decisions.
Automation flow
The workflow sets a 1920 by 1080 browser window, opens the configured LinkedIn URLs, waits for page load, and looks for post containers before extracting data.
How to use
Sign in and verify access
Open LinkedIn in the same browser profile UScraper will use. Confirm your target search page or organization posts page renders normal feed cards.
Edit the Navigate URLs
Replace the sample content search and organization posts URLs with approved sources. Keep each URL focused so row counts and compliance review stay traceable.
Confirm the export path
Structured Export writes linkedin-posts-scraper.csv with headers and append mode. Change the save location before client or production runs.
Run and audit
Start with one URL, open the CSV, and spot-check names, post text, counts, and blank cells before adding more LinkedIn sources.
Output preview
The export keeps one row per visible post card after scrolling. Some fields can be blank when LinkedIn hides follower text, compresses engagement labels, or serves a different layout to your account.
| name | follower_number | posted | post_content | comment | repost | reaction |
|---|---|---|---|---|---|---|
| Data Growth Weekly | 18,420 followers | 2d | Three lessons from our latest B2B benchmark report on social listening workflows. | 12 comments | 4 reposts | 186 |
| Mira Shah | 9,100 followers | 1w | We compared LinkedIn benchmarks across five product launches and found a clear pattern. | 8 comments | 2 reposts | 94 |
| Northstar Analytics | 42,000 followers | 3h | New webinar: using public post data for competitive research without losing auditability. | 5 comments | 1 repost | 57 |
linkedin-posts-scraper.csvColumn
name
Poster, company, school, or organization name from the visible post card.
Column
follower_number
Follower text when LinkedIn exposes it near the actor description.
Column
posted
Relative post time such as 3h, 2d, 1w, or similar visible text.
Column
post_content
Main post copy captured from the rendered feed card.
Column
comment
Visible comment count label when present.
Column
repost
Visible repost count label when present.
Column
reaction
Reaction count or reaction label parsed from the engagement area.
LinkedIn posts may be visible in your signed-in account, but automated collection can still be limited by LinkedIn's User Agreement, service terms, community policies, robots signals, privacy law, and local rules. Use this template only for approved research, avoid bypassing access controls, keep pacing conservative, and get legal review before commercial reuse.
Before you run
Keep these LinkedIn constraints visible
Signed-in access can still be interrupted
LinkedIn can show verification prompts, rate limits, empty feeds, restricted content, or session changes. Pause when the browser no longer renders the target page normally.
Post card markup changes over time
Blank names, missing engagement counts, or empty post text usually mean LinkedIn returned a different card variant or changed the feed layout.
CSV access does not grant reuse rights
Review LinkedIn policies, local privacy rules, client contracts, and outreach restrictions before republishing, enriching, or contacting people from exported post data.
Download the free LinkedIn Posts Scraper template, install the app from UScraper download, and test one approved URL before scaling your LinkedIn posts to CSV workflow.
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