Post engagers only
- Requires every post URL in advance.
- Works well for a specific campaign.
- Post discovery happens separately.
How to scrape LinkedIn profile and company posts with engagers
Discover posts from a person or company, then expand each post with reactions, reshares and comments in a single run.
Affiliate link: we may receive a commission if you later purchase a plan, at no extra cost to you.
WorkflowFrom a company to its posts and active audience
01Input
JSON- Target
- company:microsoft
- Posts
- 1 per target
- Engagers
- 2 + 2
02Actor
LinkedIn Posts + Engagers
scraping_solutions/...Combined workflow
03Dataset
XLSXtypeauthorpostId
postcompanyurn:...
reactionpersonurn:...
Actor used
LinkedIn Profile & Company Posts Scraper
scraping_solutions/linkedin-profile-company-posts-scraper-engagers-comments
It accepts profiles, companies, usernames and direct post URLs. It can discover posts, then extract visible reactors, reposters and commenters.
S
5.0 / 51 review
186total users
70monthly users
5bookmarks
23 dayssince last update
$1.20per 1,000 results
Official listing checked August 20, 2026; figures can change.
3rows1 post + 2 reactions
9 sruntimecontrolled run
17fieldsobserved across output
0errorsduring the test
≈ $0.0036Actor chargeplus $0.00023 usage
Our test used company:microsoft, one post, two reactions and up to two comments. It returned the post and two reactions; no visible comments were returned within the requested limit. Speed and coverage vary.
Distinct value
You do not need to collect every post URL first
A conventional post-engagers scraper starts from known posts. This Actor can also find posts from a person or company, removing a manual step while preserving the relationship between content and engagement.
This combined workflow
- Starts from profiles, companies or posts.
- Discovers content and expands engagement.
- Processes multiple targets in parallel.
4 target typesProfile, company, username or direct post.
3 expansionsOptional reactions, reposts and comments.
Streaming outputResults are saved as the run progresses.
Exact configuration
Test one company with controlled limits
Start with one post and a few engagers. Confirm coverage, row types and cost before expanding the project.
Actor input
linkedin-profile-company-posts-scraper-engagers-comments- Targets
targetUrls - company:microsoft Profiles and posts also work
- Posts
maxPosts - 1 Maximum per profile or company
- Reactions
maxReactions - 2 Enable scrapeReactions
- Reposts
maxReposts - 0 Disabled in this test
- Comments
maxComments - 2 Most relevant order
{
"targetUrls": ["company:microsoft"],
"maxPosts": 1,
"includeQuotePosts": false,
"includeReposts": false,
"scrapeReactions": true,
"maxReactions": 2,
"scrapeReposts": false,
"maxReposts": 0,
"scrapeComments": true,
"maxComments": 2,
"commentSortOrder": "Most relevant"
}- 01
Add valid targets
Use a profile, company or post URL;
company:googleand plain usernames are also documented. - 02
Control feed posts
maxPostslimits posts per profile or company. Zero attempts as many as internal safety limits permit. - 03
Enable only what you need
Every reaction, repost and comment adds a potential row. Turning off an expansion reduces time and cost.
- 04
Split the dataset by type
Filter
typeto separate posts, reactions, reposts and comments before analysis or CRM loading.
| Type | Useful fields | Primary use |
|---|---|---|
post | content, author, postedAt, engagement, media | Content and performance analysis |
reaction | reactionType, author, linkedinUrl, postId | Identify public profiles that reacted |
repost | Reposter identity and original post reference | Track content amplification |
comment | Text, author, replies and visible counts | Conversation and intent research |
Our test observed post and reaction rows, plus shared identifiers such as postId, entityId and fullUrn. Exact fields depend on the record type and public availability.
Quick calculator
Estimate maximum rows and Actor charge
The published price starts at $1.20 per 1,000 results. The estimate counts one post row and up to one row per requested engagement.
Estimated maximum rows105
Estimated Actor charge$0.13
Any applicable platform usage is not included.
Formula: targets × posts × (1 post + reactions + reposts + comments).
Price checked August 20, 2026. Check current pricing.
When it helps
Three business questions this dataset can answer
Which competitor content mobilizes an audience?
Connect post topics to visible reactions, comments and reshares.
Who engages repeatedly?
Join multiple posts and identify public profiles that recur.
Which format earns stronger response?
Compare text, media and metrics across people, brands or periods.
Engagement is not outreach consent
Use public data for a legitimate purpose, avoid unsolicited bulk outreach, and respect privacy rules and platform terms.
Frequently asked questions
Before you scale
How is this different from Post Engagers?
Post Engagers requires post URLs. This Actor can discover posts from profiles and companies before expanding engagement.
Can I mix profiles, companies and posts?
Yes. targetUrls accepts a list of documented target formats. Start with a small batch to validate coverage.
Do limits guarantee results?
No. They are maximums. Visibility, age, permissions and provider availability may reduce output.
How is cost estimated?
Every returned post, reaction, repost or comment can count as a result. The calculator shows a ceiling, not a guaranteed charge.
Which comment orders are supported?
Most relevant and Most recent. Choose relevance for highlighted signals and recent for time-based monitoring.
Controlled test
Start with one company, one post and five engagers
Confirm row types and coverage before processing a full target list.