SOCIAL MEDIA
LinkedIn data scraping service.
Profile enrichment, company intelligence, and custom list building, delivered into your CRM or spreadsheet.
The problem.
WHY THIS IS HARDER THAN IT LOOKS
B2B sales teams, recruiters, and market research firms all end up in the same place. You have a list of names and company names sitting in a CRM or a spreadsheet. You need titles, seniority, tenure, location, contact signals, and sometimes a few layers more: hiring activity, employee growth, skills distribution, and career trajectory. LinkedIn is where that data lives, and there is no commercial API from the platform itself that exposes it the way you need it for outreach, scoring, or segmentation.
The usual options don't quite fit. Enrichment platforms sell nationwide contact databases at per-record pricing with matching rates that vary. Scraping infrastructure APIs sell you the proxies and leave you to build everything on top. The DIY route ends the same way for most teams: an automation tool that works for the first 50 profiles and then gets the account banned within a week.
The gap is a managed service that handles the infrastructure risk entirely on its own side, delivers the enriched data straight into your system, and takes responsibility for both the freshness and the match quality. No accounts of yours are used. No Sales Navigator seats at risk. No browser extensions that get flagged. The extraction runs on residential infrastructure I operate, and the client who drove the supporting case study for this service ran 70,000 profiles through the pipeline with zero account bans and an 87% match rate against their CRM records.
Across 200+ projects through sidb.work, LinkedIn enrichment is one of the most requested engagements. It is also one of the ones that most rewards doing it properly. The difference between a 40% match rate and an 87% match rate is the difference between a usable lead list and a waste of outreach budget. Every enriched record comes back with a match confidence score so your team can filter by quality before pushing anything into the pipeline.
You give me a list. I give you back enriched records in the format and system you already use.
Is this right for you?
GOOD FIT IF ANY OF THESE SOUND LIKE YOU
You have a CRM or spreadsheet of leads with incomplete data and need it filled in
You want CRM write-back so the enrichment happens in place, not in a separate export
You have tried a SaaS enrichment tool and the match rate is not good enough on your target audience
You need custom fields or company intelligence that a generic enrichment tool does not expose
What you receive.
EXACT FIELDS, DELIVERED IN YOUR FORMAT
Sample record.
{
"full_name": "Satya Nadella",
"current_title": "Chairman and CEO",
"current_company": "Microsoft",
"current_company_url": "https://linkedin.com/company/microsoft",
"seniority_level": "C-suite",
"tenure_years": 11.2,
"location": "Redmond, Washington, United States",
"experience_count": 5,
"skills": ["Cloud Computing", "Leadership", "Enterprise Software"],
"profile_url": "https://linkedin.com/in/satyanadella",
"match_confidence": 96,
"enriched_at": "2026-04-13T09:14:32Z"
}PREFER TO SELF-SERVE?
Or access our LinkedIn API yourself
3 ready-to-use endpoints. Pay per successful request. Built for developers.
Straightforward pricing.
SCALE DETERMINES PRICE · NO HIDDEN FEES
List enrichment
One-time enrichment of a list you supply. Delivered in 2 to 4 days.
- Up to 1,000 input rows
- Full field set per match
- Match confidence scored
- CSV, Google Sheet, or CRM write-back
Ongoing enrichment
Continuous enrichment of new records as they land in your CRM or pipeline.
- CRM webhook integration
- Daily or weekly processing
- Re-enrichment of stale records
- Volume up to 5,000 rows per month
Custom intelligence
Larger volumes, company intelligence, hiring signal tracking, or bespoke schemas.
- Custom field schema
- Company-level research
- Hiring velocity and org charts
- Scoping call required
Frequently asked questions.
EVERYTHING YOU NEED TO KNOW
The standard enrichment platforms sell access to a nationwide contact database with a fixed matching algorithm, a fixed schema, and a per-record or seat-based price. They work well when your target audience maps cleanly to what is already in their database. This service works differently: you supply the input list, I handle the extraction and matching case by case, and the output schema fits your CRM or pipeline without forcing you to adopt a vendor's field structure. You do not pay for records that cannot match, and you do not import a generic schema that needs to be cleaned up before it is useful. For teams with niche targets, non-standard enrichment fields, or match rate issues on existing platforms, this is typically a better fit.
None of yours. All extraction runs on infrastructure I operate, so there is zero risk of your sales reps losing their LinkedIn accounts, their Sales Navigator seats, or their connection graph. The client who drove the supporting case study for this service ran 70,000 profiles through this pipeline with zero account bans.
Across recent enrichment work the typical match rate sits between 80 and 90 percent when you supply full name plus company name. Match rate climbs when you supply company domain or LinkedIn company URL, and drops for common names with missing company context. Every record comes back with an explicit match confidence score, so you can filter by quality before pushing into your CRM.
Every enriched record is pulled live at extraction time. There is no stale cached database. For list enrichment the data is as fresh as the day it runs. For ongoing enrichment I re-check records on a schedule you define, usually quarterly for title and company, monthly for high-value accounts.
Six formats cover most clients: CSV or JSON dropped in S3 or Google Cloud Storage, Google Sheets updated in place, direct writes to PostgreSQL or BigQuery, and webhook pushes to CRMs like HubSpot, Salesforce, Pipedrive, and Close. Full CRM write-back, including field mapping and dedup against existing records, is the most common integration.
Yes. Company intelligence is a separate workflow built on the same infrastructure: employee counts, hiring velocity, recent role changes, skills distribution across the org, and public social signals. This is priced at the Custom tier because each engagement is scoped to specific research questions.
Delivered data is yours. I do not retain copies beyond a short operational window needed to verify delivery and handle any redelivery requests. If you need a DPA or specific retention terms for compliance, we handle that during scoping.
At minimum, full name and current company name. That typically gets you an 80 to 85 percent match rate. If you can also supply company domain or LinkedIn company URL, the match rate climbs above 90 percent. For very common names with no company context, match confidence drops and those records are flagged rather than guessed. I always return a per-record confidence score so you can decide what threshold to accept before pushing enriched data into your CRM.
Yes. The Ongoing Enrichment tier is built for this. I connect to your CRM via webhook or scheduled API pull, process new records as they arrive, and write enriched fields back in place. Most clients process new records daily or weekly. Re-enrichment of stale records (for example, detecting title or company changes on profiles you already have) runs on a separate schedule you define.
Private profiles and profiles with minimal public information are flagged with a low match confidence score and returned with whatever fields are available. You are never charged for records that cannot be matched. For accounts with limited public visibility, I will tell you the expected match rate during scoping so you can decide whether the volume justifies the engagement. Common reasons for low match rates include very common names without company context, profiles that are set to private or have been deactivated, and profiles on non-English LinkedIn regional sites where name transliteration adds ambiguity.
For list enrichment, the typical turnaround is 2 to 4 business days from when I receive your input file. For ongoing enrichment with CRM integration, the setup usually takes 3 to 5 business days for the initial configuration and test run, after which the pipeline runs continuously on the schedule you define. If you need an expedited turnaround for a specific campaign or deadline, let me know during scoping and I will tell you what is feasible.
List enrichment starts at $199 for up to 1,000 input rows, depending on field depth and match SLA. Ongoing enrichment starts at $499 per month for up to 5,000 records with CRM write-back. No per-record fees, no seat pricing. Custom intelligence engagements scope by the week. This is the same pricing model I have used across 200+ projects delivered through sidb.work.