Use LinkedIn Profile Feed Scraper with Likers & Commenters with Python

Pull posts from a LinkedIn profile's activity feed or a direct post URL, with engagement counts, hashtags, media, and optionally the people who liked or commented on each post. Requires a LinkedIn session cookie.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "includeReposts": true,
  "includeVideoTranscript": false,
  "language": "en",
  "maxComments": 10,
  "maxInteractors": 50,
  "maxPosts": 1,
  "minComments": 0,
  "minReactions": 0,
  "mode": "postUrls",
  "postUrl": "https://www.linkedin.com/posts/nvidia_ai-is-technology-that-is-built-and-improved-activity-7508569677040893954-sffp",
  "postedLimit": "",
  "profileUrl": "https://www.linkedin.com/in/satyanadella",
  "scrapeInteractors": false,
  "scrapeReactions": false
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	optional	What to scrape. "Auto" uses the URLs you provide; the actor picks the right pipeline automatically.
`profileUrl`	string	optional	(mode=profilePosts or auto) LinkedIn profile URL, e.g. https://www.linkedin.com/in/williamhgates, or just the username.
`postUrl`	string	optional	(mode=postUrls or auto) A LinkedIn post link, feed-update link, activity URN or bare activity ID. No login needed.
`postUrls`	array	optional	(mode=postUrls) A list of LinkedIn post links, feed-update links, activity URNs or bare activity IDs. Combined with Post URL if both are set.
`maxPosts`	integer	optional	Maximum number of posts to return. Cookieless profile feeds are capped by LinkedIn at the newest ~8 public posts; with the optional cookie the feed paginates up to this limit.
`postedLimit`	string	optional	Keep only posts published within this window. "Any time" keeps everything.
`postedAfter`	string	optional	Optional. Keep posts published on or after this date. Format: 2026-01-31 or full ISO 8601.
`postedBefore`	string	optional	Optional. Keep posts published on or before this date. Format: 2026-01-31 or full ISO 8601.
`maxComments`	integer	optional	How many top comments to include per post. LinkedIn shows ~10 comments to logged-out visitors and the cookie path adds commenter profile URLs to those same first ~10 - a documented source ceiling either way.
`includeVideoTranscript`	boolean	optional	When on, video posts include the full spoken transcript (can make rows large).
`scrapeInteractors`	boolean	optional	Optional extra. Requires the LinkedIn Cookie field and adds the first page of commenters with profile URLs/headlines. Cookieless runs always include engagement counts and the top comments.
`scrapeReactions`	boolean	optional	With Scrape Likers & Commenters on, also include the first page of likers (name/headline/profile URL). Requires the optional cookie. LinkedIn's liker pagination endpoint is not available to visitors, so this is the visible first page only.
`maxInteractors`	integer	optional	Cap applied separately to the likers list and the commenters list of each post when interactor scraping is enabled.
`cookie`	string	optional	Optional and never required - the actor works without any login. If supplied, it unlocks extra data: profile feeds paginate past the ~10-post cookieless ceiling up to Max Posts, and every post gains reaction-type breakdowns, reposts/views counts and the first page of likers/commenters. Accepts the li_at value, a raw cookie header, or a full cookies JSON array.
`cookies`	array	optional	Full browser cookie export for linkedin.com as a JSON array of {name, value} objects (Cookie-Editor extension -> Export -> JSON). Same effect as the Cookie field - merged with it when both are set. Optional and never required.
`language`	string	optional	Language hint sent to LinkedIn. Affects localized content where available.
`includeReposts`	boolean	optional	When off, reposts/reshared posts are excluded from the output.
`minReactions`	integer	optional	Skip posts that received fewer than this many reactions. 0 keeps everything.
`minComments`	integer	optional	Skip posts that received fewer than this many comments. 0 keeps everything.
`mediaTypes`	array	optional	Restrict output to specific post media types. Leave empty to keep all. Cookieless runs detect text, image, video and repost posts.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/I4oTw7vyuPTBhJ8UF/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

One record per public LinkedIn post: text, author and follower count, engagement counts, top comments, media and video metadata, hashed from logged-out pages.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build PMjjgrE6QguMnaiyI and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.