harvestapi
LinkedIn Profile Scraper + Email ✅ No CookiesExtract detailed information from LinkedIn profiles in bulk, including complete work experience, education history, skills and more. No cookies or account required.
Publisher description, verbatimon LinkedIn, by users in the last 30 days among actors classified to this platform.
best #1 for “contact”
The scraper is strong at quickly and thoroughly extracting profile details and emails, but it fails on strict run/credit limits, inconsistent contact coverage and ordering, and occasional slow or long runs.
| Theme | Sentiment | Said | What they mean |
|---|---|---|---|
| Caps and ceilings | 0 praised · 7 complained | 7 | strict free-plan run caps and resetslow concurrent URL/profile processing cap“It's working perfectly for me! It extracts much more information about profiles' education and experience than most similar actors. Is there a recommended limit on the number of profiles to scrape daily?” — 5/5 |
| Does it return everything | 4 praised · 2 complained | 6 | comprehensive education and experience extractionreturns only a few contact emails“Easy to use. I pasted all the target URL's out of a csv I had. It ran it in the background and gave me a good data set to use.” — 5/5 |
| Setup and docs | 2 praised · 2 complained | 4 | easy CSV URL pasting and integrationrequires full-profile access approval“works smooth with clay” — 5/5 |
| How fast | 3 praised · 1 complained | 4 | generally fast and responsive processingsometimes experiences long processing times“It scrapes experience, education details completely and handles lots of profiles very fast. Exactly what we need” — 5/5 |
| Does it run | 2 praised · 1 complained | 3 | stable background execution without frequent crashesdisrupts item order during bulk scrapes“Really good actor. Stable and fast.” — 5/5 |
| What it supports | 1 praised · 1 complained | 2 | effective at retrieving contact emailsoften returns company instead of personal emails“Good for email retrieval” — 5/5 |
| What it costs | 0 praised · 1 complained | 1 | consumes credits very quickly“It takes a lot of time just to extract the emails of 20 datasets. It has utilized all of my credits.” — 1/5 |
The actors either side of #2 of 1,383, ranked by users in the last 30 days. Same platform, adjacent adoption — the comparable set.
| # | Actor | Grade | Price / 1k | Users /30d | Success | Rating | Age | Fresh | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | A | RES$2.00 /1k | 17,672161.9K total | 98.6% | 4.6 | 2.1y | fresh | ||
| 2 | A | EVT$4.00 /1k profilehigh price | 10,31973.1K total | 100.0% | 4.6 | 17m | fresh | This | |
| 3 | A | EVT$2.00 /1k postgood price | 9,12636.8K total | 100.0% | 4.4 | 17m | fresh | ||
| 4 | A | EVT$2.00 /1k postgood price | 6,64029.3K total | 99.6% | 5.0 | 17m | fresh | ||
| 5 | A | EVT$100 /1k search-pagesteep price | 6,34644.9K total | 99.6% | 4.4 | 17m | fresh | ||
| 6 | A | RES$4.00 /1k | 6,08122.1K total | 100.0% | 4.5 | 16m | fresh | ||
| 7 | B | EVT$3.00 /1k short-profilefair price | 5,73329.9K total | 99.4% | 3.9 | 15m | fresh |
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LinkedIn
curious_coder
