LinkedIn Post Text Extractor
Enter any LinkedIn post URL to extract the complete text content in a clean, readable format — perfect for content analysis, research, and data processing.
Instructions
- Choose a LinkedIn post.
- Copy its link. Click the
...menu at the top right of the post and select "Copy link to post". - Paste the URL above and click "Run".
The post's full text comes back as a JSON result in the text_content field, ready to select and copy. No LinkedIn login is required.
How Does Text Extraction Work?
This tool extracts the complete text content from any LinkedIn post URL by reading the post's public page and pulling the content out of its structured data. The extraction process involves:
- Fetching the LinkedIn post page as an anonymous visitor
- Parsing the page's JSON-LD structured data block for the post content
- Reading the post body from the
articleBodyfield, falling back to the pagedescriptionwhenarticleBodyis absent - Returning the text with its original line breaks intact
- Counting the words and characters in the post body
Because the text comes from the post's own structured data rather than from scraped page markup, you get the body copy as LinkedIn itself describes it — without the surrounding navigation, reaction widgets, or comment threads that a naive copy-paste from the page would drag along.
What Comes Back
The result is a JSON object. text_content holds the post body; the rest is metadata read from the same structured data block.
| Field | Description |
|---|---|
text_content | The post's full text content |
articleBody | The same body text, as LinkedIn's structured data names it |
wordCount | Number of words in the post body |
characterCount | Number of characters in the post body, including spaces |
author | The post author's name and profile URL |
image | Whether the post carries an image |
hasDocument | Whether the post carries an attached document |
likes | Reaction count, when LinkedIn exposes it |
comments | Comment count, when LinkedIn exposes it |
Any field LinkedIn withholds from logged-out visitors comes back as N/A.
What Can You Do With LinkedIn Post Text Extraction?
LinkedIn post text extraction is useful for content creators, researchers, marketers, and data analysts who need to work with LinkedIn content programmatically rather than by hand.
- Content research: Extract and analyze text from competitor posts to understand their messaging strategies and content themes.
- Sentiment analysis: Use extracted text for sentiment analysis, keyword research, and content performance tracking across multiple posts.
- Content repurposing: Extract successful post text to repurpose for other platforms, email newsletters, or blog content.
- Academic research: Extract text content for social media studies, communication analysis, and trend research.
- Content inspiration: Extract text from viral posts to understand what makes content engaging and successful on LinkedIn.
- Data collection: Build datasets of LinkedIn content for machine learning, natural language processing, and content analysis projects.
- Quote collection: Extract memorable quotes and insights from thought leaders and industry experts for your own content.
- Translation and localization: Extract text content for translation into other languages or localization for different markets.
Notes and Limits
The URL must point to a real post. Three forms all work: the linkedin.com/posts/… permalink, a linkedin.com/feed/update/urn:li:activity:… share URL, and the lnkd.in/… shortlink that the "Copy link to post" menu produces — shortlinks are resolved to the underlying post automatically. A profile URL or a company-page URL is rejected before anything is fetched.
The fetch is anonymous and carries none of your cookies or session, so posts that LinkedIn only serves to logged-in members won't return their text. For public posts, which is most of them, the logged-out page carries the full body in its structured data.
Long posts are returned in full. LinkedIn's own web UI truncates long posts behind a "see more" toggle, but that truncation is a display behavior — the complete body is present in the page's structured data, so what you get back here is the whole thing rather than the visible excerpt.
One caveat worth knowing: LinkedIn populates the structured data from the post as it exists now. If a post has been edited, you get the current text, not the original.
FAQ
Do I need a LinkedIn login or an API key?
No. The post page is fetched anonymously from a server, exactly as a logged-out visitor would see it. Public posts carry their full text in the page's structured data, so nothing else is needed.
Does this get the full text of a long post, or just the "see more" excerpt?
The full text. The "see more" toggle is a display choice LinkedIn makes in its own UI — the complete body is already in the page's structured data, so truncation never applies here.
Why is the text N/A?
That's what comes back when the post's structured data has no body to read — usually because the post isn't visible to logged-out visitors, or because the URL points to something other than a text post. Confirm the link opens in a private browsing window and you'll know which.
Does the author know I extracted their post?
No. The fetch happens server-side and carries none of your session, so nothing is attributed to your LinkedIn account.
Related Tools
- LinkedIn Post Date Extractor — find the exact date and time any LinkedIn post was published, decoded from the post's own ID.
- LinkedIn Post URN Extractor — get the unique URN identifier from any LinkedIn post URL.
Analyze a whole profile, not one post
These extractors decode one URL at a time. If what you actually want is to understand a whole profile — your own, a peer's, or a competitor's — I built Flux for exactly that: paste any public LinkedIn profile URL and get its full post history analyzed (engagement trends, top posts, formats, posting times), with no login and no Chrome extension, from $3/month. It's the automated version of the spreadsheet workflow these free tools were built to feed.
Turning content signal into pipeline is what Elegant Atomics does for B2B SaaS. Work with us →