7 Best LinkedIn Scraper APIs for Profiles, Companies, Posts & Jobs

The best LinkedIn scraper API depends on what you already know and what you need back. A product that resolves known profile URLs is different from a database that searches millions of professional records, and both are different from a browser automation tool that exports a Sales Navigator list.

For developers who already have public LinkedIn URLs and need normalized profiles, companies, posts, or job records, SocQ and Bright Data are the clearest managed API choices. Apify is more flexible when you want to choose or customize an Actor. ScrapingDog is a straightforward credit-based option. Coresignal suits large B2B databases, PhantomBuster serves no-code sales workflows, and Scrape Creators offers direct social-data endpoints.

Quick verdict: Choose SocQ for a focused, URL-driven API with one normalized schema across social platforms. Choose Bright Data for high-volume LinkedIn collection and enterprise delivery options. Choose Apify for an extensible Actor marketplace. Choose Coresignal when discovery and historical B2B data matter more than resolving a supplied LinkedIn URL.

Details were checked on July 19, 2026; verify the linked pages before purchasing.

LinkedIn Scraper APIs at a Glance

“Yes” does not mean identical fields. One provider may return public page fields from a supplied URL while another returns an enriched database record assembled from multiple sources. Evaluate the exact response, not only the checkbox.

How We Evaluated the Providers

This comparison uses public documentation, API examples and published pricing. It is not a controlled load test, and we do not claim unmeasured success rates or latency.

The evaluation uses six questions:

1. Coverage: Does the product separately support profiles, companies, posts and job details?
2. Input model: Do you supply known URLs, run a search, query a database, or operate through a logged-in account?
3. Output: Does it return stable structured records, raw page content, exports, or enriched contact data?
4. Integration: Is it a conventional API, asynchronous job, Actor, dataset, or no-code workflow?
5. Pricing: Is billing per returned record, credit, compute unit, execution time, or subscription?
6. Operational fit: Does the product suit an embedded application, a data pipeline, a one-time export, or sales automation?

We also distinguish public professional data from private contact information. A provider returning a public profile does not automatically return verified email addresses, phone numbers, private connections or data visible only to a logged-in member.

1. SocQ: Best for a Focused, Normalized Social Data API

SocQ exposes four LinkedIn endpoints:

• LinkedIn Profiles API
• LinkedIn Companies API
• LinkedIn Posts API
• LinkedIn Jobs API

Each endpoint accepts known public LinkedIn URLs. A submission returns a task ID; the client polls the task and reads normalized records from data.results.items. This is useful when your product has already identified the page it needs and wants the result in the same broad record model used by SocQ's Instagram, YouTube, X, TikTok, Facebook and Reddit APIs.

Current result pricing is endpoint-specific:

An empty completed result does not incur a result charge according to the live endpoint documentation.

Strengths

• Clear separation between profile, company, post and job inputs.
• Public URL input without requiring the customer's LinkedIn cookie.
• Normalized source URL, collection time and resource type.
• One API key and task lifecycle across seven social platforms.
• Result-based pricing rather than browser runtime.

Limitations

• It is URL-driven, not a LinkedIn people or job search product.
• The Jobs endpoint resolves supplied /jobs/view/ URLs; it does not discover openings.
• The Posts endpoint resolves supplied posts; it does not retrieve an author's whole feed or individual comments.
• It does not add private contact details.
• Optional fields may be empty when they are not publicly visible.

SocQ is the best fit here when LinkedIn is one part of a multi-platform data product and predictable endpoint boundaries matter more than arbitrary scraper customization.

2. Bright Data: Best for High-Volume Collection and Delivery Options

Bright Data's LinkedIn Scraper API supports profiles, companies, jobs and posts. Its official documentation describes synchronous scraping for up to 20 URLs and asynchronous jobs for larger batches up to 5,000 URLs. Output can be delivered as JSON, NDJSON or CSV, with webhook and cloud-storage delivery options.

Bright Data publishes pay-per-successful-record pricing. Its current LinkedIn product material lists pay-as-you-go pricing from approximately $1.50 per 1,000 records, although dataset, discovery and enterprise products have different prices. See the Bright Data LinkedIn Scraper API documentation and current pricing before calculating a workload.

Strengths

• Complete four-resource LinkedIn coverage.
• Both synchronous and asynchronous request modes.
• Large URL batches and several delivery destinations.
• Separate real-time scraping, dataset and entity-discovery products.
• Enterprise collection and data infrastructure.

Limitations

• The broader product catalog creates more choices to evaluate.
• A real-time URL scraper, dataset and Deep Lookup are priced and operated differently.
• Teams should confirm which dataset ID and response schema correspond to each resource.
• Its value is most obvious at higher volume or when delivery infrastructure matters.

Choose Bright Data when LinkedIn is a major data source, the workload is large, and delivery to webhooks or cloud storage is part of the requirement.

3. Apify: Best for Actor Choice and Customization

Apify is not one LinkedIn API. It is a platform and marketplace containing many independently maintained LinkedIn Actors. Some focus on profiles; others cover companies, jobs, posts, search results or combined workflows. Inputs, cookie requirements, output quality and pricing can differ between Actors.

Current store examples range from low-cost per-result profile or company Actors to broader no-cookie Actors with higher event prices. That range is exactly why “Apify supports LinkedIn” is not enough: select and test the specific Actor you intend to operate.

Strengths

• Large marketplace with specialized workflows.
• Actor runs can be invoked through an API.
• Developers can build or modify custom Actors.
• Scheduling, datasets, webhooks, proxies and storage are available on the platform.
• Useful when the desired workflow is not covered by a fixed endpoint.

Limitations

• Quality, maintenance and pricing vary by Actor author.
• Some Actors require cookies or bring-your-own proxies while others do not.
• An Actor's schema can change independently from another LinkedIn Actor.
• Total cost can combine platform usage, Actor events, compute, proxy and storage.
• Replacing an Actor may require input and output mapping changes.

Choose Apify when flexibility is more important than having one vendor-defined LinkedIn contract. For production use, review the Actor's last update, maintainer, recent runs, pricing events, input requirements and sample output.

4. ScrapingDog: Best for Straightforward Credit-Based Endpoints

ScrapingDog provides direct LinkedIn-oriented APIs within a broader scraping API subscription. Its current documentation includes profile and company retrieval, while its pricing page lists a separate LinkedIn Post API credit cost.

For example, the documented company profile request uses a company identifier and costs 10 credits per successful request. The pricing page currently lists LinkedIn Post API requests at 25 credits and says failed, blocked and timed-out requests are refunded. New accounts receive a small free credit allocation.

Strengths

• Conventional request/response endpoints.
• One subscription can cover LinkedIn and other scraping APIs.
• Public credit costs make small workload estimates possible.
• Failed-request credit policy is stated publicly.

Limitations

• Credit multipliers differ by endpoint.
• Coverage and response fields must be checked separately for profiles, companies, posts and jobs.
• Comparing credits with per-record pricing requires using the selected plan's dollar cost per credit.
• It is less suitable than a database API when you need to search for unknown people or companies.

Choose ScrapingDog when you want a relatively direct API and are comfortable forecasting consumption through credits.

5. Coresignal: Best for B2B Search, Enrichment and Historical Data

Coresignal is better understood as a professional and business database provider than as a live LinkedIn page scraper. Its APIs cover employee, company and job records, with search credits used to find records and collect credits used to retrieve or enrich them.

The current Starter plan begins at $49 per month and includes employee, company and jobs endpoints. Higher tiers reduce the effective record price and add features such as historical headcount access and employee webhooks. Coresignal also sells large datasets for analytics and model-building workloads. See Coresignal's pricing page for current tiers.

Strengths

• Search and collection APIs for records you have not already identified by URL.
• Employee, company and job coverage with many structured fields.
• Historical and bulk dataset options.
• Useful for market research, talent intelligence and data products.
• Search syntax and enrichment are first-class parts of the product.

Limitations

• A database record is not the same product as a live snapshot of a supplied LinkedIn URL.
• Posts are associated with dataset products rather than the same four-endpoint URL model.
• Monthly credit plans require forecasting both search and collect actions.
• Dataset purchases and higher-volume plans may require sales discussions.

Choose Coresignal when discovery, filtering, history and large B2B coverage matter more than resolving a small list of known LinkedIn pages.

6. PhantomBuster: Best for No-Code Sales Workflows

PhantomBuster combines data extraction with prospecting, enrichment, CRM sync and outreach automation. A “Phantom” performs a specific task, such as exporting a LinkedIn search, enriching profiles or moving results into another sales workflow.

Its current pricing is based primarily on execution time, automation slots and included enrichment credits. The vendor's June 2026 pricing material lists monthly plans starting at $69, with a lower effective monthly price when billed annually. Review PhantomBuster pricing because packaging can change.

Strengths

• Accessible to sales and growth teams without building an application.
• Prebuilt LinkedIn and Sales Navigator workflows.
• CRM, spreadsheet and automation integrations.
• Extraction can connect directly to enrichment and outreach.
• Scheduling and multi-step workflow features.

Limitations

• It is not primarily an endpoint-per-resource data infrastructure product.
• Some workflows operate through a user's LinkedIn session or account context.
• Execution-time pricing is harder to compare directly with cost per returned record.
• Outreach automation introduces account, policy and operational considerations absent from a read-only public URL API.

Choose PhantomBuster when the desired outcome is a sales process rather than supplying LinkedIn records inside your own software.

7. Scrape Creators: Best for Direct Social API Access

Scrape Creators focuses on direct social-data endpoints rather than general crawler infrastructure or sales automation. It can fit developers who want a conventional API for known LinkedIn resources without selecting an Actor or operating a browser workflow.

Confirm the current profile, company, post and job coverage separately. Also test batch limits, embedded author fields, pagination, credit consumption, empty-result billing and whether an endpoint resolves supplied URLs or performs discovery.

Choose it when a small social-specific API surface is preferable to an Actor platform. Choose SocQ instead when LinkedIn must share one normalized schema and task lifecycle with six other social networks.

Coverage Is More Than Four Checkboxes

Before selecting a provider, write down the exact operation.

Profiles

• Resolve a known public profile URL?
• Search people by title, company or location?
• Retrieve experience, education and skills?
• Add email or phone enrichment?
• Monitor job changes over time?

Companies

• Resolve a known company page?
• Search organizations by industry or size?
• Retrieve locations, specialties and visible employee counts?
• Access historical headcount?

Posts

• Resolve one known post?
• Discover posts by author or company?
• Return only engagement totals or also individual reactions and comments?
• Preserve media and publication metadata?

Jobs

• Resolve one known job-detail URL?
• Search open jobs by keyword and location?
• Access historical listings?
• Return salary, apply link and Easy Apply status?

SocQ currently focuses on the first question in each group: resolve known public URLs. Bright Data offers URL scraping plus separate discovery and dataset products. Apify's answer depends on the Actor. Coresignal focuses more heavily on search and database records.

Compare Pricing with a Real Workload

Headline prices are not directly comparable because the billing units differ. Build a small spreadsheet around your actual workload:

monthly cost =
  successful records
  × price per record
  + search operations
  + compute or execution time
  + proxies
  + storage and delivery
  + enrichment

Use at least three scenarios:

1. 1,000 known profile URLs per month.
2. A weekly refresh of 500 companies and their selected posts.
3. Discovery of jobs matching criteria, followed by collection of 10,000 job records.

The first scenario favors URL APIs. The third requires search or a database and cannot be priced honestly as if the URLs already exist. Also check whether failures consume credits, whether unused monthly credits expire, and whether a “record” includes nested posts or bills them separately.

Account Requirements and Operational Risk

Ask whether the workflow needs:

• No LinkedIn credentials.
• A user cookie or authenticated browser.
• A Sales Navigator seat.
• A residential proxy.
• An approved official LinkedIn application.

LinkedIn's official open permissions are limited; many profile and partner APIs require approval. The official LinkedIn API access documentation should be read separately from any third-party provider's claims.

No provider can make an unlawful or noncompliant use case safe by changing the delivery method. Review applicable laws, LinkedIn terms, vendor terms, privacy obligations, retention rules and the rights of the people represented in the data. This article is a product comparison, not legal advice.

Which LinkedIn Data API Should You Choose?

Choose SocQ when:

• You already have public LinkedIn URLs.
• You need profiles, companies, posts and jobs in normalized resource records.
• LinkedIn is one of several social platforms in the same product.
• You want result-based credits and an asynchronous API workflow.

Choose Bright Data when:

• You need larger real-time batches.
• Cloud delivery, webhooks or several output formats matter.
• You may also need bulk datasets or entity discovery.

Choose Apify when:

• You want marketplace choice or custom extraction logic.
• Your team can test, monitor and replace individual Actors.
• Platform flexibility is worth additional configuration.

Choose ScrapingDog when:

• You want direct endpoints with a credit model.
• Your chosen LinkedIn resource is documented and the plan economics fit.

Choose Coresignal when:

• You need to search for records, not only resolve known URLs.
• Historical workforce or job data is important.
• You are building a B2B data or analytics product.

Choose PhantomBuster when:

• The real requirement is no-code prospecting, enrichment, CRM sync or outreach.
• Sales users, not application developers, will operate the workflow.

A Minimal SocQ LinkedIn Request

The same task pattern is used across SocQ LinkedIn endpoints:

curl -X POST "https://api.socq.ai/v1/linkedin/profiles" \
  -H "Authorization: Bearer $SOCQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "urls": [
      "https://www.linkedin.com/in/satyanadella"
    ]
  }'

# Poll GET /v1/tasks/{task_id}
# Read data.results.items and follow next_cursor while has_more is true

Use /v1/linkedin/companies, /v1/linkedin/posts or /v1/linkedin/jobs only with the corresponding accepted URL type. Do not send a LinkedIn search page to an endpoint that resolves detail URLs.

FAQ

What is the best LinkedIn scraper API?

SocQ is a strong choice for normalized lookups of known public profile, company, post and job URLs across a multi-platform API. Bright Data is better suited to high-volume real-time scraping and enterprise delivery. Coresignal is a better fit when you need database search and historical B2B data.

Do LinkedIn scraper APIs require a LinkedIn account?

Some managed public-data APIs do not require the customer's LinkedIn account or cookie. Some browser automation tools and individual Apify Actors may use authenticated sessions. Check the exact product rather than assuming one rule applies to every provider.

Can these APIs search LinkedIn for people or jobs?

Not all can. SocQ's current LinkedIn endpoints resolve supplied detail URLs. Coresignal provides database search, Bright Data has separate discovery products, and Apify coverage depends on the selected Actor.

Can a LinkedIn API return email addresses and phone numbers?

A public LinkedIn page API does not automatically include private contact information. Some vendors sell separate enrichment products assembled from additional sources. Treat extraction and contact enrichment as different products.

What is the difference between a LinkedIn scraper API and the official LinkedIn API?

Official LinkedIn APIs use LinkedIn authorization, approved products and specific permissions. Third-party public-data APIs retrieve or provide structured records under their own product terms. Their capabilities, responsibilities and permitted uses are not interchangeable.

How should I test a provider?

Prepare a representative set of public profiles, companies, posts and jobs, including missing and restricted pages. Compare field completeness, terminal failures, latency distribution, duplicate handling, documentation, support and total cost per usable record. Do not decide from one successful demo URL.