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Post Comments Engagements Scraper Linkedin: Filter Spam & Ads

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LinkedIn Post Comments & Engagements Scraper extracts comments, reactions, engagement metrics, and author details while filtering spam and promotional ads. Ideal for audience research, engagement analysis, content performance tracking, sentiment insights, and B2B lead generation.

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Social media

Automation

Jobs

🔗 Posts to screen

startUrls

Optional

LinkedIn post URLs, activity URNs (urn:li:activity:123…) or bare numeric activity IDs — one per line. Add MULTIPLE posts from the same author or company: duplicate clustering runs across every post in the run, so a copy-paste comment only becomes visible when more than one post is present.

Type:array

Default:

[]

📊 Comments to read per post

commentsPerPost

Optional

Upper bound on comments read per post (1–500). Logged-out, LinkedIn itself serves a guest roughly the first 9–10 comments per post, so a higher number only changes the result when an li_at cookie is supplied. The base actor's resultLimitPerPost key is still accepted and takes precedence when present.

Type:integer

Minimum:1

Maximum:500

Default:100

📣 Promotional comments — what to do with them

promotionalHandling

Optional

Flag keeps every comment and adds the score. Exclude drops comments at or above the threshold — those rows are NOT pushed and NOT billed, so a filtered run costs you nothing for the rows you asked to discard. Only returns the pitches by themselves, for moderation or reporting.

Type:string

Default:flag

Options:

flagexcludeonly

🎚️ Promotional score cut-off

promotionalThreshold

Optional

A comment counts as promotional when its score reaches this value (0–1). The score is the sum of the published lexicon weights that fired: outbound link 0.35, contact prompt 0.40, self-promo phrase 0.30, price/offer 0.25, service list 0.35 (needs 3+ service terms), duplicate across posts 0.30. Default 0.5, so any two rules together flag a comment.

Type:number

Minimum:0

Maximum:1

Default:0.5

♻️ Copy-paste comments — what to do with them

dedupeHandling

Optional

Flag keeps every comment and adds duplicateClusterId / duplicateCount. Collapse keeps the earliest comment of each duplicate cluster and drops the rest — dropped rows are NOT pushed and NOT billed. Only returns the duplicated bodies alone, which is the fastest way to see which accounts are spraying the same line.

Type:string

Default:flag

Options:

flagcollapseonly

🔬 Near-duplicate similarity

duplicateSimilarity

Optional

How alike two comments must be to land in the same cluster (0.5–1). Bodies are compared after case, punctuation, emoji, URLs and whitespace are normalised away; 1 means only identical normalised bodies cluster, 0.9 (default) also catches a line with a word or an emoji swapped. Comments shorter than 15 normalised characters are never clustered.

Type:number

Minimum:0.5

Maximum:1

Default:0.9

💤 Low-effort comment length

lowEffortMaxChars

Optional

A comment whose normalised body is this many characters or shorter (or is nothing but emoji) is marked lowEffortComment = true. This is a label only — it never removes or charges anything. Default 25.

Type:integer

Minimum:0

Maximum:200

Default:25

🧾 Also write a duplicate-cluster summary

emitDuplicateClusters

Optional

Writes one record per duplicate cluster (member count, posts spanned, authors, sample text, comment IDs) to a separate child dataset named after the run. The child dataset is never billed. Off by default.

Type:boolean

Default:false

🔀 Comment order

commentOrder

Optional

Order requested from LinkedIn on the cookie path. Logged-out, LinkedIn serves a fixed guest slice and ignores any order parameter, so this only changes the result when an li_at cookie is supplied. The base actor's sortOrder key is still accepted and takes precedence when present.

Type:string

Default:REVERSE_CHRONOLOGICAL

Options:

REVERSE_CHRONOLOGICALRELEVANCE

🍪 LinkedIn cookie (li_at) — optional

liAt

Optional

Leave empty to run logged-out, which is the default and the tested path. This actor contains no built-in credential. Supplying your own li_at cookie lifts LinkedIn's ~10-comments-per-post guest ceiling and adds nested replies, per-reaction-type counts and the edited/pinned markers; it is used only on the requests that need it.

Type:string

🌐 Proxy

proxyConfiguration

Optional

Optional. The actor already escalates direct → datacenter → residential on its own and rotates the exit IP when LinkedIn answers with HTTP 999.

Type:object

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