Linkedin Open To Work Status avatar

Linkedin Open To Work Status

Pricing

from $0.01 / 1,000 results

Go to Apify Store
Linkedin Open To Work Status

Linkedin Open To Work Status

🔎 Open to Work! I’m exploring new opportunities in tech & data. Passionate about building scalable solutions, turning insights into impact, and collaborating cross-functionally. 🚀 Let’s connect!

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Scraperoka

Scraperoka

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

13 days ago

Last modified

Share

LinkedIn Open To Work Status 🎯 — Detect “Open to Work” on LinkedIn profiles in minutes

Manually checking hundreds of LinkedIn profiles for Open to Work status wastes hours you don’t have. LinkedIn Open To Work Status automatically checks profiles and returns whether the person is marked as open to work—so you can build cleaner outreach lists faster. This LinkedIn Open To Work status detector (and related LinkedIn Open To Work status meaning checks) is ideal for marketers, recruiters, and growth teams who need quick, structured answers at scale. In a single run, you can process multiple profile URLs and get results you can export right away—no guesswork.


What You Get: Sample Output

Here’s a sample record from a single run:

{
"data": {
"open_to_work": true
},
"message": "ok"
}

If the actor can’t fetch a profile, you’ll instead see an error result like:

{
"data": {
"open_to_work": false
},
"message": "error: <error details>"
}
FieldTypeWhat It Tells You
data.open_to_workbooleanThe core decision: whether the profile appears to be marked “Open to work”
messagestringThe run status for that profile (for example, ok, authwall detected (data might be incorrect), or an error: ... message)
dataobjectGrouped result payload you can safely parse in pipelines
data.open_to_work (failure case)booleanWhen errors happen, the actor defaults to false so your workflows don’t break
(Dataset metadata) completed.linkedin_urlstringThe scraped profile URL saved in the dataset (useful for auditing)
(Dataset metadata) data.open_to_workbooleanSame boolean stored in the dataset view (“Open to Work?”)
(Dataset metadata) messagestringSame status text stored in the dataset view
(Dataset metadata) completed.createdstringScrape time, so you can track freshness of LinkedIn open to work visibility options checks

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.


Why LinkedIn Open To Work Status?

There are a lot of ways to pull profile signals from LinkedIn — here’s what sets LinkedIn Open To Work Status apart.

Clear “Open to Work” signal detection

This actor focuses on whether a profile is marked as open to work and returns a simple boolean (data.open_to_work). It also handles common status wording patterns like “seeking opportunities,” helping with cases like LinkedIn open to work wrong status.

Output that’s easy to use in outreach workflows

Results are written in a consistent JSON shape (data.open_to_work plus a message) so you can filter immediately in your CRM or spreadsheet. This is helpful when you’re deciding open to work on LinkedIn settings for targeting and segmentation.

Built-in resilience for real-world scraping

It includes retries for failed fetch attempts and provides explicit messaging when an authentication wall is detected (so you can avoid silent bad reads). That makes it more reliable for bulk runs across many profiles.

Structured dataset storage for auditability

In the dataset view, you’ll see the profile URL, the boolean “Open to Work?” value, the status message, and the scrape time. This makes it easier to validate LinkedIn open to work recruiters only vs public visibility scenarios in your results.


Configuring Your Run

Drop this into your input.json to get started:

{
"startUrls": [
{ "url": "https://www.linkedin.com/in/ajjames" }
]
}
ParameterRequiredWhat It Does
startUrlsList of one or more LinkedIn profile URLs to check (each entry should be an object with url).

Core Capabilities

Fast bulk checks from profile URLs

Feed in multiple profile links via startUrls, and the actor processes them one by one (with an additional pacing delay for larger lists). It’s built for collecting LinkedIn Open To Work status signals across a target list.

Simple, actionable boolean output

You get data.open_to_work as a boolean, making it straightforward to filter for outreach eligibility—useful for LinkedIn open to work public vs other visibility expectations and diagnosing LinkedIn Open To Work status meaning.

Clear per-profile status messaging

Each processed profile includes a message field so you can distinguish normal results (ok) from cases where the actor detected an authwall or hit an error. This helps you handle LinkedIn open to work not showing situations in your workflow.

Retries and fallback handling for resilience

If fetching a profile fails, the actor retries before recording an error result. When an error occurs, it outputs data.open_to_work: false along with an error message so downstream steps remain stable.

Dataset-friendly structure and export

Each result is pushed into the Apify dataset with the dataset view configured to show: completed.linkedin_url, data.open_to_work, message, and completed.created. You can export instantly for analysis or segmentation.


Who Gets the Most Out of This

Recruiters and talent sourcers can use LinkedIn Open To Work status to prioritize candidates who may be actively seeking roles, turning a long Open to work on LinkedIn verification task into a structured boolean list.

Sales and SDR teams benefit when building targeted outbound segments; they can quickly separate profiles likely to be receptive based on data.open_to_work, then enrich campaigns without manual checking.

Growth teams and ops leads can automate lead list cleanup by consistently flagging Open to Work signals and tracking scrape time (completed.created) to understand how LinkedIn open to work status changes over time.

Data analysts and researchers can run experiments on “status vs outcomes” by exporting the dataset and joining it with their own CRM or campaign data, while keeping an audit trail through the saved profile URLs.

Developers and automation specialists can integrate the results into their pipeline since the actor outputs consistent JSON with data.open_to_work and a message, supporting reliable downstream filtering.


Step-by-Step: How to Use It

No coding needed. Here's how to run LinkedIn Open To Work Status from start to finish:

  1. Open the actor on Apify — visit console.apify.com and open the actor page.
  2. Enter your inputs — add your profile links in startUrls as an array of { "url": "..." } entries.
  3. Configure proxy settings (optional) — if you use proxy configuration in your runs, enable it for better reliability on bulk lists.
  4. Hit Run and watch the live log — review progress and per-profile messages (including error or authwall notices).
  5. View results in the dataset tab — confirm data.open_to_work and the message for each profile.
  6. Export your data — download results as JSON, CSV, or Excel from the dataset view.
  7. Iterate — rerun with updated URLs to keep your LinkedIn Open To Work status dataset fresh.

The whole process takes under 5 minutes to set up.


Integrations & Export Options

Once your data is collected, LinkedIn Open To Work Status plugs directly into your existing workflow.

You can export your dataset formats (including JSON, CSV, and Excel) directly from the Apify dataset tab. That makes it easy to move LinkedIn Open To Work status results into spreadsheets for LinkedIn open to work location settings-style segmentation workflows.

For automation, you can connect the actor to your stack via Apify’s API, scheduled runs, and webhook-style triggers. If you use no-code tools like Zapier or Make, you can push results to your CRM or downstream pipeline without manual copy-paste—perfect for recurring lead enrichment.

For deeper details, see Apify documentation: https://apify.com/docs/api


Pricing & Free Trial

LinkedIn Open To Work Status runs on the Apify platform, which offers a free tier — no credit card required to get started. On Apify, you can typically run small tests with limited credits, then scale as needed.

For production usage, costs are generally based on Apify platform compute units (CU) rather than a per-row charge. Start for free at apify.com and scale when you're ready.


Reliability & Performance

What We HandleHow
Rate limiting and unstable fetchesRetries are included for failed requests to reduce one-off failures
Access/authwall issuesDetects an authwall scenario and returns an explicit message so you can avoid trusting uncertain reads
Multi-URL runsAdds pacing when processing multiple profiles to improve stability
Error transparencyOn errors, it pushes a result with data.open_to_work: false and an error: ... message

Limitations: This actor works with publicly accessible profile pages and relies on what’s visible in the HTML content at the time of the scrape. If a profile requires login to view or doesn’t show relevant status text, results may be incomplete.

For enterprise-scale runs, contact us to discuss custom configurations.


Frequently Asked Questions

Is there a free plan or trial?

Yes. Apify offers a free tier for getting started with actors, which is typically enough for several test runs before you scale up.

Do I need to log in to LinkedIn to use this?

No. You only provide profile URLs in startUrls, and the actor checks the publicly viewable content it can access for LinkedIn Open To Work status.

How accurate is the data?

Accuracy depends on what is visible on the target profile page. The actor uses visible page signals to decide data.open_to_work and reports a message when an authwall is detected, helping you trust the output appropriately.

How many results can I get per run?

You can submit one or more URLs in startUrls, and the actor processes each profile and writes results to the dataset. The exact practical limits depend on your Apify run configuration and platform conditions.

How often is the data updated / how fresh is it?

Data freshness depends on when you run the actor. The dataset includes completed.created (scrape time), so you can tell when the LinkedIn open to work status check was performed.

Yes for using publicly available data, but compliance depends on your use case. You should ensure your collection, storage, and processing follow GDPR, CCPA, and applicable platform rules for the data you use.

Can I export results to Google Sheets or Excel?

Yes. You can export the Apify dataset to formats like JSON, CSV, or Excel from the Apify dashboard, then import into tools such as Google Sheets or your spreadsheet of choice.

Can I run this on a schedule automatically?

Yes. You can schedule actor runs on Apify so LinkedIn Open To Work status checks happen regularly without manual triggering.

Can I access this via API?

Yes. You can call and retrieve results programmatically using Apify API features.

What happens if the actor hits an error?

If the actor fails to fetch a profile, it pushes a result with data.open_to_work: false and a message that includes an error: ... description. If an authwall is detected, it sets message to authwall detected (data might be incorrect).


Need Help or Have a Request?

Got a question about LinkedIn Open To Work status or want a new feature added? Reach out at dataforleads@gmail.com. We actively maintain this actor and can also discuss enhancements like webhook notifications on completion or additional output fields for easier segmentation.


Disclaimer & Responsible Use

LinkedIn Open To Work Status is the fastest, most reliable way to detect Open to Work signals from public profiles — start your free run today.

This actor collects publicly available data and does not access private accounts, login-gated content, or password-protected pages. It’s your responsibility to comply with GDPR, CCPA, applicable platform ToS, and any local regulations for how you store and use the data. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.