This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
ScrapeLi
Real-time data of any LinkedIn company page followers
ScrapeLi scrapes your competitors' LinkedIn followers, with ICP filtering and email enrichment. API, MCP and direct CSV export options. Integrations with tools like Salesforce, Hubspot and Clay etc..
Hey Product Hunt 👋
I built ScrapeLi after noticing something simple: when someone follows
your competitor's LinkedIn page, they are already showing interest. They are
weighing their options right now. Nobody was selling access to that list.
ScrapeLi pulls the followers of any company page in real time. Not a
database someone scraped last year, the people following them today. You
filter to your ICP (title, seniority, function, region, company size) and
take the list out as a file, through the API, or straight into Instantly,
Smartlead, HeyReach, Clay or HubSpot.
🤖 The part I am most excited about: ScrapeLi is an MCP server.
Connect it once and your agent does the work in plain English. Claude,
Codex, Cursor, anything that speaks MCP. Real things people ask it:
"How many people follow Gong, and what would it cost to get them all?"
"Get me the founders in the United States who follow Y Combinator."
"I want heads of sales at US fintechs who follow Gong. Show me the
filters before you buy anything."
"Who is maria.garcia@globex.com? Tell me the cost before you look."
"Which of my orders are still running, and how many credits do I have?"
The design rule I care about most: counting, previewing and pricing are
all free, and nothing is ever bought until you have been shown a price
and said yes. Your agent cannot surprise you with a bill. There is also a
sandbox key that spends nothing, so you can wire it up and poke at it
first.
Setup is one line in your MCP config:
https://scrapeli.io/mcp (API key as a Bearer token)
It can describe an audience in plain English and hand you back the actual
filters it inferred, save that ICP, then price it against as many
competitors as you like. "The people I sell to, who follow my
competitors" becomes one question.
Other things worth knowing:
• No session cookies, no connecting your LinkedIn account. You never hand
over credentials.
• Verified work emails, 1 credit per email actually found. Reverse email
lookup is charged only on a match.
• 4,000+ businesses have used it since 2023.
Two things I would love feedback on: which competitor's audience you
would pull first, and whether the ICP filters match how you actually
define your buyers. I will be in the comments all day.
No comment highlights available yet. Please check back later!
About ScrapeLi on Product Hunt
“Real-time data of any LinkedIn company page followers”
ScrapeLi was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #140 on the daily leaderboard. ScrapeLi scrapes your competitors' LinkedIn followers, with ICP filtering and email enrichment. API, MCP and direct CSV export options. Integrations with tools like Salesforce, Hubspot and Clay etc..
ScrapeLi was featured in Sales (22.1k followers), Marketing (469.9k followers) and SaaS (44.9k followers) on Product Hunt. Together, these topics include over 157.1k products, making this a competitive space to launch in.
Who hunted ScrapeLi?
ScrapeLi was hunted by Sambath Ramesh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ScrapeLi stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.