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Key figures30 readings
Price / 1k$2.00per 1,000 post
Users / 30d8,248↑ 432 over 30 readings
Users, all time33,821↑ 4,570 over 30 readings
Runs / 30d3.1m↑ 450,165 over 30 readings
Runs / user / mo374runs per monthly user
Users / 30d30 readings
Standing
#3of 1,395
on LinkedIn, by users in the last 30 days among actors classified to this platform.
Store search presence
7top-10 keywords
best #1 for “linkedin post”
linkedin post#1
linkedin posts#1
linkedin profile#3
4 more#4–#4
re-crawled daily
What the reviews say
Good for basic, date-filtered and inexpensive scraping, but it fails on time-range restrictions, high costs for reactions/comments, incomplete/incorrect outputs, and requires manual field checks.
16 of 54 reviews carry text
Theme
Sentiment
Said
What they mean
Caps and ceilings
1 praised · 2 complained
3
includes a date filtering optionrestricted to an exact one-year period“This is useful! But for company posts, there seems to be a scraper internal limit to scrape only up until exactly a year ago, could you guys extend that limit? Thanks!” — 5/5
What it costs
1 praised · 2 complained
3
cheap for basic date-filtered scrapinghigh cost for reactions and comments“Exceptionally expensive for reactions and comments. Use "supreme_coder/linkedin-post" if you want a more reasonable price - charged by the post, reactions and comments are free.” — 1/5
Does it return everything
0 praised · 1 complained
1
returns more posts than requested“Got excited when i saw this. But sadly the data is not organized in a reliable way. For example, put in 2 posts to scrape as a test. It pulled 10 posts. Sometimes the target person is under one column, while other times they're in another. ihave to check 2-3 fields to see which target person reposted a certain post. I wish there was simply a constant "author name" field that didn't change if it was a repost. Because the goal is to ensure that the scraped post is tied to the original scraped person, not suddenly saying that the author is now a new person. that new person can be nested within. Maybe a repost author category? Otherwise, the data would have been good.” — 3/5
Is the data right
0 praised · 1 complained
1
author field changes on reposts
Setup and docs
0 praised · 1 complained
1
requires checking multiple fields per post
Caps and ceilings
1 ↑ · 2 ↓ of 3
includes a date filtering optionrestricted to an exact one-year period“This is useful! But for company posts, there seems to be a scraper internal limit to scrape only up until exactly a year ago, could you guys extend that limit? Thanks!” — 5/5
What it costs
1 ↑ · 2 ↓ of 3
cheap for basic date-filtered scrapinghigh cost for reactions and comments“Exceptionally expensive for reactions and comments. Use "supreme_coder/linkedin-post" if you want a more reasonable price - charged by the post, reactions and comments are free.” — 1/5
Does it return everything
0 ↑ · 1 ↓ of 1
returns more posts than requested“Got excited when i saw this. But sadly the data is not organized in a reliable way. For example, put in 2 posts to scrape as a test. It pulled 10 posts. Sometimes the target person is under one column, while other times they're in another. ihave to check 2-3 fields to see which target person reposted a certain post. I wish there was simply a constant "author name" field that didn't change if it was a repost. Because the goal is to ensure that the scraped post is tied to the original scraped person, not suddenly saying that the author is now a new person. that new person can be nested within. Maybe a repost author category? Otherwise, the data would have been good.” — 3/5
Every count is a review we read.
10 of the 16 said only that they liked it, with nothing specific — those are excluded from the themes above.
Quotes are one reviewer, unedited.Read all 16 →
Recorded changes
showing 3 of 8 in the last 30 days · followers get all 8 by email
2026-09-07reviewsNew reviews+3 (54 total)+354 total
2026-09-05reviewsNew reviews+2 (51 total)+251 total
2026-09-04reviewsNew reviews+1 (49 total)+149 total
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