Pricing

from $6.00 / 1,000 linkedin post scrapeds

LinkedIn Posts Scraper

Scrape public LinkedIn posts from keyword searches, company feeds, and exact post URLs. Returns post text, author, engagement, media, comments preview, provider provenance, and run summaries. Charged $0.006 per post.

Pricing

from $6.00 / 1,000 linkedin post scrapeds

Rating

0.0

(0)

Developer

Khadin Akbar

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Social media

Lead generation

MCP servers

Source Type

sourceType

Required

How this post was discovered.

Type:string

Options:

searchcompanypostUrl

Source Input

sourceInput

Required

Search query, company URL, or exact post URL that produced this row.

Type:string

Post URL

postUrl

Optional

Public LinkedIn URL for the post, feed update, or article.

Type:string | null

Example:https://www.linkedin.com/posts/example_activity-7354600338621906944

Post ID

postId

Optional

LinkedIn activity, share, article, or provider identifier when available.

Type:string | null

Published At

publishedAt

Optional

Provider-returned publication date or timestamp.

Type:string | null

Post Text

text

Optional

Visible post body, article text, or provider description.

Type:string | null

Author

authorName

Optional

Public name of the person or page that authored the post.

Type:string | null

Author URL

authorUrl

Optional

Public LinkedIn profile or page URL for the post author.

Type:string | null

Author Image

authorImage

Optional

Public author image URL when outputMode is full and the provider exposes it.

Type:string | null

Author Followers

authorFollowers

Optional

Public follower count when exposed.

Type:integer | null

Company

companyName

Optional

Company name for company-sourced posts or provider-enriched rows.

Type:string | null

Company URL

companyUrl

Optional

Public LinkedIn company URL when available.

Type:string | null

Company Handle

companyHandle

Optional

LinkedIn company handle when outputMode is full.

Type:string | null

Company Followers

companyFollowers

Optional

Company follower count when outputMode is full and exposed.

Type:integer | null

Company Industry

companyIndustry

Optional

Company industry when outputMode is full and exposed.

Type:string | null

Likes

likeCount

Optional

Public like count when available.

Type:integer | null

Reactions

reactionCount

Optional

Total reaction count when available.

Type:integer | null

Comments

commentCount

Optional

Public comment count when available.

Type:integer | null

shareCount

Optional

Share or repost count when available.

Type:integer | null

Engagement

engagementCount

Optional

Convenience total of available reactions or likes, comments, and shares.

Type:integer | null

Media URL

mediaUrl

Optional

Primary media or image URL when available.

Type:string | null

Media URLs

mediaUrls

Optional

All public media URLs when outputMode is full.

Type:string[]

Comments Preview

commentsPreview

Optional

Up to five public comments returned inside the post-detail payload when includeComments is enabled.

Type:object[]

Position

position

Optional

One-based position in the actor output order.

Type:integer

Provider Page

pageNumber

Optional

Provider page number that produced this row when applicable.

Type:integer | null

Provider

provider

Required

Managed data provider or provider chain used for this row.

Type:string

Run ID

runId

Optional

Apify run ID that produced the row.

Type:string | null

Scraped At

scrapedAt

Required

ISO timestamp when the actor saved the row.

Type:string

LinkedIn Profile Posts Scraper

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Scrape a LinkedIn person's recent public posts by profile URL. Returns post text, post URL, posted date, reactions, comments, shares, media, repost flag, and author identity. Provider-backed, no login or cookies. Charged $0.005 per post.

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Extract public posts from LinkedIn profiles with this reliable LinkedIn Profile Post Scraper. Collect post text, dates, reactions, comments count, media links, and engagement metrics in structured JSON. Ideal for lead research, content analysis, and competitive monitoring at scale.