A LinkedIn profile page contains dozens of embedded URLs — links to projects, publications, certifications, current and past employers, schools, personal websites and contact mailto addresses — and harvesting those targets from the HTML source is one of the fastest ways to assemble a custom CV that goes beyond the standard LinkedIn PDF export. The Link Extractor parses pasted HTML locally in your browser, scans start tags for href values on anchor, area and link elements, deduplicates the results, and returns one URL per line together with transparent counts of unique, duplicate and skipped entries. Because the tool only parses source and never requests any destination, it is safe to point at LinkedIn page HTML you are authorized to inspect — your own profile, a candidate profile in a recruiting system you operate, or saved snapshots on disk — without contacting LinkedIn or any of the listed targets. An optional base URL lets relative paths resolve into absolute addresses when the profile is fetched under a non-root path. The end result is a clean inventory of every URL the profile points to, which you can review, filter and feed into a CV template, a contact sheet or a recruiter audit.
Two Paths to a LinkedIn CV: Built-in Export vs Source Extraction
LinkedIn offers a one-click "Save as PDF" path on every profile, and for most job seekers that is the simplest way to download a CV. The PDF is generated server-side and reflects the headshot, headline, summary, experience and education sections as LinkedIn renders them. It works well when the hiring process accepts a standard LinkedIn-style resume and you do not need granular control over the embedded links.
A different workflow starts with the profile's HTML source. If you already maintain a CV template outside LinkedIn, run a recruiting pipeline that ingests structured link data, or want to assemble a portfolio of clickable references — project pages, GitHub repositories, conference talks, certification verification URLs — the export falls short. PDF readers flatten links into plain text or strip them depending on the export settings. Working from HTML source preserves the URLs as clickable targets, deduplicates them and produces a list you can drop into any downstream tool without retyping each address.
URLs Hidden in a LinkedIn Profile's HTML Source
A typical profile carries anchors that fall into a small set of groups. The featured section links to posts, articles and external portfolio pages. The experience section contains company profile links, project links and occasionally publication references. The education section links to schools, course providers and, sometimes, degree verification pages. The licenses and certifications section points to issuing organizations and, where available, credential verification URLs. The contact info panel adds a personal website, a portfolio URL and mailto or telephone targets. The activity and interests sections add URLs to groups, events and conversations.
Ordinary anchors point users to documents, area elements add targets to image maps, and link elements can reference stylesheets, icons, canonical pages or alternate resources. Link Extractor includes all three element types because its job is source inventory — it returns whatever href values the page contains regardless of whether a target is navigational, canonical, preload, stylesheet or another relationship. That breadth is useful when you want every link a profile points to, and it removes the guesswork of deciding in advance which tags matter. For a deeper walk-through of pulling URLs out of a LinkedIn page, see the Extract LinkedIn Profile URLs From HTML Source guide.
| Aspect | LinkedIn built-in PDF export | HTML source extraction with Link Extractor |
|---|---|---|
| Headline, summary, experience, education | Included automatically | Not part of the extraction — you build the document |
| Embedded URLs (projects, certifications, websites) | Some appear as plain text, often without click-through | Returned as a deduplicated, clickable list |
| Formatting control | Limited to LinkedIn's template | You control the CV template |
| Server-side activity | PDF is generated on LinkedIn's servers | Parsing happens locally in the browser |
| Output format | PDF document | One URL per line of plain text |
| Handling of mailto and tel targets | Treated as plain text | Preserved and deduped after normalization |
Extract Links From a LinkedIn Profile's HTML
This workflow treats the LinkedIn profile as a static source of link data and runs Link Extractor against the page's HTML. The parser does the work locally; LinkedIn is never contacted during extraction.
- Open the profile you are authorized to inspect. In a desktop browser, load your own profile, a candidate profile inside a recruiting system you administer, or a saved snapshot. Right-click the page and choose "View page source" in Chrome or Edge, or the equivalent command in Firefox. The HTML that opens is the static source the parser will work from.
- Copy and paste the entire HTML document. Select All in the source view, copy, then paste it into the Link Extractor input area. The tool accepts up to 200,000 characters; very long archives should be split.
- Add the profile's absolute URL as the base. A LinkedIn profile lives at a path such as https://www.linkedin.com/in/username — paste that exact value so any root-relative, path-relative or scheme-relative href inside the page resolves to absolute addresses. Base URLs must use HTTP or HTTPS and cannot contain credentials.
- Run the extractor. The tool removes comments and raw-text containers such as script, style, textarea, title, iframe, noembed and noframes, then scans the cleaned source for href attributes on a, area and link start tags.
- Review the three counters. Unique shows how many distinct targets survived normalization, duplicate shows how many repeated entries collapsed, and skipped reports how many values were filtered as empty, fragment-only, executable (javascript, data, vbscript) or invalid.
- Copy the one-per-line output. Paste the result into your CV template, spreadsheet or audit sheet. From here, verify each target with an authorized tool before publishing — the extractor does not label internal versus external links, test HTTP status, evaluate rel attributes or decide SEO quality.
What Link Extractor Filters Out
The tool deliberately skips several categories of values so the output stays clean and safe to handle.
Empty href values are dropped. Same-document fragments such as #section or #experience are dropped because they point to the same page rather than to an external target. Executable or embedded-data schemes — javascript:, data: and vbscript: — are never returned, even if a profile's static source happens to contain them. Invalid absolute URLs are also skipped. The result reports how many unsafe or invalid values were omitted, so an apparently short list does not hide the filtering decision.
Mail and telephone targets are retained because they are legitimate link destinations even though they are not web pages. If a profile lists a personal site as a contact, you will see both the http URL and the mailto: address in the result list. Duplicates are removed after normalization, and first-seen order is preserved — two identical relative links that resolve to the same absolute URL collapse into one entry.
Reading Unique, Duplicate and Skipped Counts
Every run produces three counters alongside the result list. Unique is the deduplicated target count after normalization. Duplicate is the number of entries that collapsed into an earlier one, and is often non-zero on LinkedIn profiles because the same site URL can appear in both the contact panel and the about section. Skipped is the count of href values the parser refused to return.
A non-zero skipped count is expected even on a clean profile. A handful of internal anchors such as # or #main-content will be filtered as fragments, and a small number of javascript: targets may appear in the static source from inline scripts that the raw-text removal step has already cleaned. Treat the three numbers together: a healthy profile page typically shows a high unique count, a small duplicate count, and a skipped count roughly equal to the number of fragments and empty anchors in the layout.
Limits and Honest Trade-offs of Source Parsing
Source parsing has hard boundaries the tool does not hide.
- Input cap. The tool stops accepting input above 200,000 characters to keep the interactive scan bounded. LinkedIn single-profile pages are usually well under the cap, but saved archives that bundle dozens of profiles need to be split or handled with a controlled crawler.
- No live fetching. The tool cannot fetch a remote URL because arbitrary cross-origin requests are often blocked and silently contacting pasted links would create privacy and security problems. Copy page source from a page you are authorized to inspect, or obtain HTML through your own crawler.
- Dynamic links. Links inserted after scripts run will not exist in static source and therefore will not be found here. LinkedIn hydrates much of the page after the initial document loads; anchors rendered by JavaScript after the source is captured will be missing.
- Base URL rules. Base URLs must use HTTP or HTTPS and cannot contain credentials. These checks prevent a misleading resolution context and keep user information from being copied into every resolved result.
- Malformed markup. Severely malformed markup, unusual unquoted attributes, missing raw-text closing tags or browser error recovery can produce a different DOM from the bounded scan. For a legal, security or migration audit, compare the original source, a browser DOM export and a real crawler rather than trusting one extraction channel.
- Inventory, not health report. The output is a list of targets, not an audit. A listed target may redirect, return an error, require authentication, be blocked by robots controls or intentionally point off-site. Review and crawl the URLs with an authorized tool if those facts matter for the CV.