Pricing

$19.99/month + usage

Post Comments Engagements Scraper Linkedin By Comment Language

Extract engagement data from LinkedIn post comments using this scraper. Collect commenter names, comment text, likes, replies, timestamps, and profile URLs. Ideal for lead generation, audience insights, brand monitoring, and analyzing discussions on LinkedIn posts.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

Scraper Engine

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Categories

Social media

Lead generation

Automation

🔗 LinkedIn post URLs or activity IDs

startUrls

Optional

One LinkedIn post per line. Full post URLs (https://www.linkedin.com/feed/update/urn:li:activity:7461916737781964800/), urn:li:activity: / urn:li:ugcPost: URNs and bare numeric activity IDs all work. Multilingual threads on global-brand posts give the richest language mix.

Type:array

🔢 Comments to read per post

commentsPerPost

Optional

Upper bound on comments read from each post (1–500, default 100). Logged out LinkedIn serves a guest roughly the first 9–10 top-level comments per post whatever you set here — the real number read is always reported per row as commentsAvailable vs commentsTotal.

Type:integer

Minimum:1

Maximum:500

Default:100

✅ Keep only these languages

includeLanguages

Optional

ISO 639-1 codes, one per line — for example en, pt, es, fr, ar, ja, ru. Leave empty to keep every language. Example: en + pt returns only the English and Portuguese comments and leaves the rest out of your dataset and out of your bill.

Type:array

🚫 Drop these languages

excludeLanguages

Optional

ISO 639-1 codes to remove, one per line — for example en to keep only the non-English side of a thread. Applied after the keep list. Excluded comments are summarised in an uncharged accounting row so you can always see what was removed and why.

Type:array

❓ Comments with no detectable language

undetectedLanguageHandling

Optional

What to do with comments too short or too ambiguous to label (emoji-only replies, 'Congrats!', a bare name). Keep them (default) so nothing disappears silently, or exclude them when you only want confidently-labelled text. Excluding still records them in the uncharged accounting row.

Type:string

Default:keep

Options:

keepexclude

🎯 Minimum language confidence

minLanguageConfidence

Optional

0–1, default 0.65. Below this the language is set to null with languageGuardReason = low_confidence rather than guessed. Raising it to 0.9 gives fewer but safer labels; lowering it to 0.3 labels far more comments and will mislabel some of them.

Type:number

Minimum:0

Maximum:1

Default:0.65

✂️ Minimum letters before a language is claimed

minCharsForLanguage

Optional

Default 12 letters, counted after URLs, @mentions, #hashtags and emoji are stripped out. Detectors are unreliable on very short text — raw, '👍' scores Japanese and 'Congrats!' scores English at 0.17 — so anything shorter is returned as languageGuardReason = too_short instead of a confident wrong label.

Type:integer

Minimum:1

Maximum:200

Default:12

🌐 Translate comments to English

translateToEnglish

Optional

Off by default. When on, each kept comment is translated into a new textEnglish column — the original text column is never overwritten. Requires your own AI provider key below; without one textEnglish stays null and translationStatus says no_api_key.

Type:boolean

Default:false

🤖 AI model / provider

aiModel

Optional

Provider is detected from the model name: claude-=Anthropic, gpt-/o1/o3=OpenAI, gemini-=Google, grok-=xAI, deepseek-=DeepSeek, sonar=Perplexity, mistral-*=Mistral. The cheap mini/flash/haiku models are more than enough for comment translation.

Type:string

Default:claude-haiku-4-5

Options:

claude-haiku-4-5claude-sonnet-5claude-opus-4-8gpt-4o-minigpt-4ogpt-4.1-minigpt-4.1gemini-2.0-flash-litegemini-2.0-flashgemini-2.5-flashgemini-2.5-progrok-3-minigrok-3deepseek-chatsonarsonar-promistral-small-latestmistral-large-latest

🔑 AI provider API key

aiApiKey

Optional

Your own key for the provider matching the model above. Stored as a secret. Can also be supplied as an environment variable: ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY / GOOGLE_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, PERPLEXITY_API_KEY or MISTRAL_API_KEY.

Type:string

🍪 LinkedIn li_at cookie (optional)

liAt

Optional

Leave empty — the actor runs logged out by default and no cookie is stored anywhere in it. Supplying your own li_at switches to the authenticated engine, which lifts the ~9–10 comments per post guest ceiling and adds nested replies, per-reaction-type counts and the edited/pinned flags. Stored as a secret and sent only to LinkedIn.

Type:string

🔀 Comment sort order

sortOrder

Optional

Only applies on the cookie path — logged out, LinkedIn ignores comment sort parameters and always serves the same top slice.

Type:string

Default:REVERSE_CHRONOLOGICAL

Options:

REVERSE_CHRONOLOGICALRELEVANCE

🌐 Proxy configuration

proxyConfiguration

Optional

Optional. By default requests go direct and escalate automatically to Apify datacenter and then residential proxies if LinkedIn throttles (HTTP 999) or serves a guest wall. Set a proxy here to start from it instead.

Type:object

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