Pricing

from $3.99 / 1,000 results

LinkedIn Post Comments Scraper By Keyword & Engagement Filter

💬 Scrape LinkedIn post comments & replies in bulk. 👍 Get likes, reactions, author names & profile links. 📅 Filter by date. 🔗 Add multiple posts at once. No login required by default.

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Social media

Lead generation

Automation

🎯 LinkedIn posts to analyse

postUrls

Optional

One or more LinkedIn post URLs, activity URNs or bare activity IDs. Example: https://www.linkedin.com/feed/update/urn:li:activity:7289521182721093633/ — each post is scanned separately. (The base key startUrls is still accepted.)

Type:array

Default:

[]

🔢 Comments to scan per post

commentsPerPost

Optional

How many top-level comments to pull per post BEFORE filtering. Logged-out the public page serves roughly 9-10; a li_at cookie raises the ceiling. Default 10.

Type:integer

Minimum:1

Maximum:500

Default:10

🔍 Must contain any of these words

filterKeywords

Optional

Case-insensitive. A comment is kept only if its text contains at least one of these. Example: ["pricing", "demo", "how much"]. Leave empty to keep everything.

Type:array

Default:

[]

🚫 Drop comments containing any of these

excludeKeywords

Optional

Case-insensitive. Useful for stripping congratulation noise. Example: ["congrats", "great post", "thanks for sharing"].

Type:array

Default:

[]

👍 Minimum reactions on the comment

minReactions

Optional

Keep only comments with at least this many reactions. Exact per-comment reaction counts are read from the public post page. Example: 5. Default 0 (no threshold).

Type:integer

Minimum:0

Default:0

📏 Minimum comment length (characters)

minCommentLength

Optional

The cheapest way to remove one-word replies and emoji-only comments. Example: 80. Default 0 (no threshold).

Type:integer

Minimum:0

Default:0

🙋 Exclude the post author's own comments

excludeAuthorComments

Optional

Drops comments written by the person who published the post — their replies are usually not leads. The author identity comes from the same page as the comments, so this costs no extra request.

Type:boolean

Default:false

📅 Comments posted on or after

postedFrom

Optional

Exact date range, made possible by the absolute comment timestamps this actor derives. Accepts 2025-01-27, an ISO timestamp, or a relative value like "7 days". Leave empty for no lower bound.

Type:string

📅 Comments posted on or before

postedTo

Optional

Upper bound of the date range. Accepts 2025-02-28, an ISO timestamp, or a relative value like "1 day". Leave empty for no upper bound.

Type:string

⏱️ Quick age bucket

postedLimit

Optional

A coarse shortcut applied on top of the date range above. Leave as 'Any' when you use the exact range.

Type:string

Default:any

Options:

any24hweekmonth3months6monthsyear

🎯 Minimum buying-signal score (0-100)

minBuyingSignalScore

Optional

Keep only comments scoring at least this much. 25+ = a real intent term fired, 50+ = several. Every kept row carries the matched terms and their weights so the number is auditable. Default 0 (keep all, still scored).

Type:integer

Minimum:0

Maximum:100

Default:0

➕ Extra buying-signal terms

buyingSignalKeywords

Optional

Your own intent terms added to the built-in lexicon, each worth 20 points and reported by name in the score breakdown. Example: ["switch from", "migrate off", "renewal"].

Type:array

Default:

[]

🤖 Add AI sentiment, intent label & summary

aiEnrichment

Optional

OFF by default and entirely optional — it requires your own provider API key. The rule-based scoring above works without it; with AI off the three AI columns are null, never guessed.

Type:boolean

Default:false

🧩 AI model / provider

aiModel

Optional

Provider is auto-detected from the model name: claude-=Anthropic, gpt-/o1/o3=OpenAI, gemini-=Google, grok-=xAI, deepseek-=DeepSeek, sonar=Perplexity, mistral-*=Mistral. Cheap mini/flash/haiku models are plenty for classification.

Type:string

Default:claude-haiku-4-5

Options:

claude-haiku-4-5claude-sonnet-5claude-opus-4-8gpt-4o-minigpt-4ogpt-4.1-minio3-minigemini-2.0-flash-litegemini-2.0-flashgemini-2.5-flashgrok-3-minideepseek-chatsonarmistral-small-latest

🔑 Provider API key

aiApiKey

Optional

Your own key for the provider chosen above. Falls back to the matching environment variable (ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY, XAI_API_KEY, DEEPSEEK_API_KEY, PERPLEXITY_API_KEY, MISTRAL_API_KEY). Leave empty to keep AI off.

Type:string

↩️ Include nested replies

includeReplies

Optional

Replies are only reachable through the authenticated engine, so this needs a li_at cookie. Logged-out the public page exposes no reply threads. (Base key scrapeReplies is still accepted.)

Type:boolean

Default:false

👤 Commenter detail level

authorDetailLevel

Optional

Full adds headline and profile picture on the authenticated engine. Logged-out, headlines are not exposed by LinkedIn and stay null. (Base key profileScraperMode is still accepted.)

Type:string

Default:short

Options:

shortfull

🍪 LinkedIn li_at cookie (optional escalation)

liAtCookie

Optional

Optional. Without it the actor runs fully logged-out and returns the public comment slice. With it, the authenticated engine reaches the full comment list and nested replies. (Base key liAt is still accepted.)

Type:string

🌐 Proxy

proxyConfiguration

Optional

Optional. The actor escalates direct → datacenter → residential on its own when LinkedIn throttles (HTTP 999).

Type:object

LinkedIn Post Comments Scraper & Post Reactors

scrapier/linkedin-post-comments-scraper

💬 Scrape LinkedIn post comments & replies in bulk. 👍 Get likes, reactions, author names & profile links. 📅 Filter by date. 🔗 Add multiple posts at once. No login required by default.

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Linkedin Post Comments Scraper

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Extract comments from any Linkedin profile post. No cookies required.

FreshData

251

Linkedin Post Comments Scraper

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Linkedin Post Comments Scraper - Easily extract comments from any LinkedIn post with our LinkedIn Post Comments Scraper. Fast, secure, and no coding required.

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Linkedin Profile Post Scraper

scraper-engine/linkedin-profile-post-scraper

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.

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Linkedin post reactions scraper

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Scrape reactions or likes from linkedin post

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626

LinkedIn Comments Scraper

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Scrape comments and replies from any LinkedIn post. Get comment text, author details, timestamps, and engagement metrics.

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LinkedIn Post Comments Scraper

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Export public LinkedIn post comments and replies with author, thread, engagement, and incremental monitoring fields.

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Scrape public LinkedIn posts by URL or profile: full text, reactions, comment count, top comments, author and follower count. No login or cookie required.

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LinkedIn Post Search - Keywords & Public Posts

thirdwatch/linkedin-post-search-scraper

Search public LinkedIn posts by keyword and extract post text, authors, reactions, comments, media, post IDs, and canonical URLs without login.

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Linkedin Post Scraper

scraper-engine/linkedin-post-scraper

💼 LinkedIn Post Scraper extracts public LinkedIn posts from profile or company profile with text, media, reactions, comments & author info. 🚀 Ideal for market research, content analysis & lead generation. Export data in JSON, CSV, or Excel.

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