Seeking Reliable Job Enrichment Tools for Contact Data Cleanup

Megan W. · 2025-07-30 00:14:37.709221+00

Hi all! We have an unusual situation where our main database (not easily connectable to any online platform) holds hundreds of thousands of contact data. We are looking for a system that can take an export of the old data (name, company, title, email) and tell us if that contact moved companies and if they did, what is their new title, company and email address. These contacts are NOT in HubSpot - we won't bring them in until we have clean data. I've been using Seamless but their job enrichment data is junky - much of the "new company/title" data is not accurate OR they can't find any details about the contact so then we have to verify one by one (usually via LinkedIn). We need to scale this process very quickly. I did a test with CommonRoom and was not happy either. Cost will be a huge factor. Anyone recommend a system that you can reasonably trust the job enrichment data? Thanks!!

Seeking Reliable Job Enrichment Tools for Contact Data Cleanup | RevGenius

14 comments

· Sorted by Oldest

Jon M.
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Do a test with people data labs. If the data is good, we can help you automate the process.
Mike C.
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Hmmm a job for Apollo, no? Feels like acurracy + price are your main concerns? Apollo scrapes LinkedIn (so accuracy in data is high) Apollo is crazy cheap.
🙌2
Jomar E.
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https://www.firecrawl.dev/blog/fire-enrich
🙌1
Bittu M.
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We can help with scraping LinkedIn profiles here end to end, that should solve for it easily: theboomerang.co, ping on webchat or DM please.
smitha k.
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Hi Megan W. we have solved this problem for ourselves internally using our platform and this looks like something we can help with. Let me know if you'd be interested and I can DM you more details
Vrinda G.
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Hey Megan — we’ve helped a few clients clean and enrich large datasets like this. One approach that’s worked well is using Clay combined with custom workflows: uploading your list, enriching via multiple sources (like LinkedIn, Apollo, and Clearbit), then layering AI to flag likely job changes. It’s not 100% automated, but it drastically reduces manual work and cost. Happy to show you what that setup looks like or brainstorm other options if useful! -Vrinda
Pat H.
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I've built this IN HubSpot, leveraging n8n and LinkedIn
Pat H.
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Oh, and Apollo to find new contact data
Mike C.
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Megan W. def reccomend talking to Pat H. (reallistically I shoulda tagged him first)
🙌1
Bittu M.
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Pat H. which API are you using for LinkedIn?
Pat H.
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None--it's a python script built on local machines.
Bittu M.
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So, your own LinkedIn account for scraping. Wohh, isn't it too risky?
Tim H.
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We use a service called Usergems for this. It works but a little expensive for what it is. Interested if you could share more detailsPat H., not sure if I understand how you are using N8N + Local Python for this.
Isaac L.
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Megan W. if you are still working on this. I have live APIs that run this data out of my own DB. Have linkedin scrapers already built in and live for some folks in my network. Likely less cost than a low code patchwork

Jon M.
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Do a test with people data labs. If the data is good, we can help you automate the process.
Mike C.
·
·
Hmmm a job for Apollo, no? Feels like acurracy + price are your main concerns? Apollo scrapes LinkedIn (so accuracy in data is high) Apollo is crazy cheap.
🙌2
Jomar E.
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·
https://www.firecrawl.dev/blog/fire-enrich
🙌1
Bittu M.
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We can help with scraping LinkedIn profiles here end to end, that should solve for it easily: theboomerang.co, ping on webchat or DM please.
smitha k.
·
·
Hi Megan W. we have solved this problem for ourselves internally using our platform and this looks like something we can help with. Let me know if you'd be interested and I can DM you more details
Vrinda G.
·
·
Hey Megan — we’ve helped a few clients clean and enrich large datasets like this. One approach that’s worked well is using Clay combined with custom workflows: uploading your list, enriching via multiple sources (like LinkedIn, Apollo, and Clearbit), then layering AI to flag likely job changes. It’s not 100% automated, but it drastically reduces manual work and cost. Happy to show you what that setup looks like or brainstorm other options if useful! -Vrinda
Pat H.
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I've built this IN HubSpot, leveraging n8n and LinkedIn
Pat H.
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·
Oh, and Apollo to find new contact data
Mike C.
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·
Megan W. def reccomend talking to Pat H. (reallistically I shoulda tagged him first)
🙌1
Bittu M.
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Pat H. which API are you using for LinkedIn?
Pat H.
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·
None--it's a python script built on local machines.
Bittu M.
·
·
So, your own LinkedIn account for scraping. Wohh, isn't it too risky?
Tim H.
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·
We use a service called Usergems for this. It works but a little expensive for what it is. Interested if you could share more detailsPat H., not sure if I understand how you are using N8N + Local Python for this.
Isaac L.
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·
Megan W. if you are still working on this. I have live APIs that run this data out of my own DB. Have linkedin scrapers already built in and live for some folks in my network. Likely less cost than a low code patchwork