How to Source LinkedIn Profiles into Lever

A recruiter runs one LinkedIn Recruiter search and gets 300 matches. Forty look worth a first conversation. The tedious part starts now: opening each profile, then retyping the name, title, company, and profile link into Lever as a fresh opportunity, forty times over, before anyone has even replied.

Quick answer: the sanctioned way to source LinkedIn profiles into Lever is LinkedIn Recruiter System Connect, which ships free with a Recruiter license and pushes a profile into Lever as an opportunity in one click. Without a Recruiter seat, the Lever Hire Chrome extension imports a public profile, or a Simular AI computer agent reads the profile and builds the Lever opportunity for you, with the stage, owner, and source already set.

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By hand vs. Simular vs. the sanctioned integrations, at a glance

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Which method should you use?

• A few profiles a week: do it by hand. Copying five opportunities into Lever is not worth any setup.
• Steady sourcing you want off your plate: a Simular AI computer agent. It reads each profile and builds the opportunity with stage and source set, whatever your LinkedIn plan.
• Your team runs LinkedIn Recruiter: turn on RSC for the one-click export, then use an agent for the bulk retyping RSC still leaves you.

A staffing agency sourcing 40 profiles a day, an in-house recruiter filling one hard role, and a founder doing their first ten hires all face the same retyping tax. Only the volume changes.

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Method 1: Source each profile into Lever by hand

Open the profile, read the fields, and create the opportunity in Lever yourself. Zero tooling, full control, capped at your own typing speed.

1. Run your LinkedIn or LinkedIn Recruiter search and filter by title, skills, company, and location so every result is a real candidate.
2. Open a profile and note the name, current title, company, and location, plus one line on why they fit.
3. In Lever, create a new opportunity on the target posting, then set the pipeline stage, assign an owner, and tag the source as LinkedIn.
4. Paste the profile URL as a link and add your sourcing note so the next reviewer has context.

Pros: free, no license, and you can extract the profile data exactly the way your pipeline needs it. Cons: at roughly 2 to 3 minutes per profile, sourcing 40 candidates is well over an hour of pure data entry, and it is the first thing that gets skipped when you are busy.

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Sourcing 40 profiles by hand at about 2 to 3 minutes each is roughly 80 to 120 minutes of retyping per search. Run three searches a week and that is 4 to 6 hours you are not spending on candidate conversations. Derived estimate.

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Method 2: Hand it to a Simular AI computer agent (the automated path we recommend)

Instead of installing anything or buying a seat, you show a Simular agent your sourcing routine once, and it repeats it into Lever for you.

1. Describe the target. Name the posting and the audience, for example "backend engineers in Berlin for the Platform role".
2. Demonstrate one pass. Open a profile, read the name, title, and company, switch to Lever, create the opportunity on the posting, paste the profile URL, and set the source. The agent learns your field mapping and note style.
3. Point it at the list. Give it a saved search or a set of profile URLs, and it works through each one, building an opportunity with the stage and owner already set.
4. Review the log. It runs on a private cloud VM and records every candidate it adds, so you approve the batch instead of babysitting it.

Because the agent operates the real Lever and LinkedIn screens the way a person does, it needs no Lever API key, no Zapier wiring, and no browser extension. It checks for an existing opportunity before creating one, so a bulk run does not flood your pipeline with duplicates. That covers the sourcing even where the official integration cannot reach, such as a public profile you found without a Recruiter seat. See the Sai page for how the agent is set up.

Pros: consistent opportunities on any LinkedIn plan, unattended, no extension footprint. Cons: a subscription, plus about 15 minutes up front to teach it your routine.

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Method 3: The Lever Chrome extension and LinkedIn RSC

Lever ships two sanctioned tools for this, and which one you can use depends on your LinkedIn plan.

1. Lever Hire Chrome extension. Install it, open a public profile, and click to import the candidate into Lever, where it captures resume details and runs duplicate detection, per the Lever extension guide. It requires a Lever account.
2. LinkedIn Recruiter System Connect. With a Recruiter seat, an admin enables RSC once, then recruiters export a profile into Lever as an opportunity in one click and see an in-ATS indicator on matching profiles, as the Lever RSC article explains.
3. Either way, you still open the new opportunity in Lever to confirm the stage, owner, and source before it moves down the pipeline.

Pros: sanctioned, and RSC is included free with a Recruiter license, so there is no scraping risk. Cons: RSC needs a paid Recruiter seat, not free LinkedIn or Sales Navigator; the extension works one profile at a time; and neither fully sets your stage and sourcing note, so the retyping shrinks but does not disappear.

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Why the sanctioned paths matter, and where they stop

Lever, like LinkedIn, treats sourced candidates as data it governs. RSC exists because LinkedIn wants profile export to go through an authorized channel that respects member privacy, which is why it syncs an in-ATS status and job data rather than letting tools read the page freely. Bulk scrapers skip that channel: they pull public profiles in the background, which LinkedIn's user agreement prohibits, and that is what puts an account at risk, not the act of sourcing itself.

Pro tactics for clean sourcing at volume:

• Standardize the source tag. Always set the Lever source to LinkedIn so your sourcing-to-hire reporting is trustworthy. One mislabeled batch quietly poisons the funnel numbers.
• Dedupe on name and profile URL. Before a bulk run, decide the match rule so re-sourced candidates merge instead of forking into two opportunities.
• Segment the search. Work narrower searches by title, region, or team so you can point an agent at one clean list at a time and keep a targeted prospect list per role.
• Keep a human in the loop. Review the agent's batch log and spot-check five opportunities before you move anyone to Reached out.

The mistakes that cost recruiters time are consistent: leaving the source blank, creating duplicate opportunities, and trusting a background scraper that risks the account. The approach that holds up is boring on purpose, source through a sanctioned or human-paced path and label every record. The lesson worth pinning up: the bottleneck was never finding the profiles, it was retyping them into Lever.

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Key takeaways

• RSC is the sanctioned one-click export and is free with a paid LinkedIn Recruiter seat, but it does not work on free LinkedIn.
• The Lever Hire Chrome extension imports one public profile at a time and needs only a Lever account.
• Sourcing by hand runs about 2 to 3 minutes per profile, which is 4 to 6 hours a week at agency volume.
• A Simular agent builds each opportunity with stage, owner, and source set, on any LinkedIn plan, and checks for duplicates first.

The winning pattern: source through a sanctioned or human-paced path, label every opportunity with its stage and source, and let a Sai agent do the retyping into Lever on its own VM so your team spends its hours on candidate conversations, not data entry. The same agent can then add LinkedIn candidates to Greenhouse if you run more than one ATS, and you can read how Simular works on the Simular about page.