Pricing

from $10.00 / 1,000 results

LinkedIn Company Content Scraper

Scrape all recent posts from any LinkedIn company page. Returns full post text, engagement counts, reaction breakdown, media attachments, and author details. Supports pagination. Clean JSON output. No cookies or login required.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

Iron Crawler

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Output Fields Per Post

post_text — full content of the post
post_url — canonical post link
created_at — ISO timestamp
author_name / author_type — who published (company page or tagged individual)
num_likes, num_comments, num_shares
reaction_counts — breakdown by: LIKE, PRAISE, EMPATHY, INTEREST, APPRECIATION, ENTERTAINMENT
media_attachments — images, documents, videos
is_repost — flag + original content reference
post_type — article, document, or standard post
urn + reactions_urn + comments_urn

Input

{
  "company_urls": [
    "https://www.linkedin.com/company/openai/",
    "https://www.linkedin.com/company/anthropic/"
  ],
  "post_type": "all",
  "max_posts": 100
}

Field	Options	Default
`post_type`	all / articles / documents	all
`max_posts`	integer	50

Use Cases

Competitive content monitoring — track what a competitor posts, how often, and what engagement each post drives
Client reporting — extract a brand's LinkedIn content history for an audit or proposal
Training data — build a corpus of company LinkedIn content for classification or NLP tasks
Scheduling research — analyze post timing patterns vs engagement outcomes

Pricing

$15 per 1,000 posts. No subscription.

FAQ

How far back does the post history go? LinkedIn's API limits access to approximately the most recent 200–500 posts per company page. This varies by company activity level.

Does this include employee reposts? Only posts published directly on the company page are returned. Employee posts on personal profiles are not included.

Can I filter by post type? Yes — set post_type to articles, documents, or all.

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