HOME/LOCAL/BEST LIFE INSURANCE LEADS TO BUY

Best Life Insurance Leads To Buy

DATABASE ID: LOCAL-BEST | RECORDS: 50,000 | LAST VERIFIED: TODAY
IDCompanyWebsiteKey ContactTitleVerified EmailIntent Score
00001Company 40 LLCwww.company1.comExec Name 1CEOexec1@company1.com82
00002Company 530 LLCwww.company2.comExec Name 2Founderexec2@company2.com81
00003Company 390 LLCwww.company3.comExec Name 3VP of Marketingexec3@company3.com89
00004Company 299 LLCwww.company4.comExec Name 4Founderexec4@company4.com94
00005Company 43 LLCwww.company5.comExec Name 5CEOexec5@company5.com99
00006Company 946 LLCwww.company6.comExec Name 6VP of Marketing••••••••••••@••••.com97
00007Company 185 LLCwww.company7.comExec Name 7CEO••••••••••••@••••.com93
00008Company 279 LLCwww.company8.comExec Name 8Founder••••••••••••@••••.com98
00009Company 511 LLCwww.company9.comExec Name 9VP of Marketing••••••••••••@••••.com80
00010Company 994 LLCwww.company10.comExec Name 10Founder••••••••••••@••••.com93
00011Company 701 LLCwww.company11.comExec Name 11CEO••••••••••••@••••.com84
00012Company 163 LLCwww.company12.comExec Name 12VP of Marketing••••••••••••@••••.com86
00013Company 795 LLCwww.company13.comExec Name 13CEO••••••••••••@••••.com94
00014Company 273 LLCwww.company14.comExec Name 14Founder••••••••••••@••••.com95
00015Company 233 LLCwww.company15.comExec Name 15VP of Marketing••••••••••••@••••.com91
00016Company 68 LLCwww.company16.comExec Name 16Founder••••••••••••@••••.com83
00017Company 346 LLCwww.company17.comExec Name 17CEO••••••••••••@••••.com80
00018Company 559 LLCwww.company18.comExec Name 18VP of Marketing••••••••••••@••••.com92
00019Company 268 LLCwww.company19.comExec Name 19CEO••••••••••••@••••.com90
00020Company 843 LLCwww.company20.comExec Name 20Founder••••••••••••@••••.com91
00021Company 65 LLCwww.company21.comExec Name 21VP of Marketing••••••••••••@••••.com90
00022Company 435 LLCwww.company22.comExec Name 22Founder••••••••••••@••••.com81
00023Company 650 LLCwww.company23.comExec Name 23CEO••••••••••••@••••.com95
00024Company 609 LLCwww.company24.comExec Name 24VP of Marketing••••••••••••@••••.com97
00025Company 88 LLCwww.company25.comExec Name 25CEO••••••••••••@••••.com86
00026Company 528 LLCwww.company26.comExec Name 26Founder••••••••••••@••••.com99
00027Company 190 LLCwww.company27.comExec Name 27VP of Marketing••••••••••••@••••.com91
00028Company 611 LLCwww.company28.comExec Name 28Founder••••••••••••@••••.com91
00029Company 260 LLCwww.company29.comExec Name 29CEO••••••••••••@••••.com82
00030Company 759 LLCwww.company30.comExec Name 30VP of Marketing••••••••••••@••••.com80
00031Company 739 LLCwww.company31.comExec Name 31CEO••••••••••••@••••.com91
00032Company 896 LLCwww.company32.comExec Name 32Founder••••••••••••@••••.com93
00033Company 21 LLCwww.company33.comExec Name 33VP of Marketing••••••••••••@••••.com95
00034Company 881 LLCwww.company34.comExec Name 34Founder••••••••••••@••••.com93
00035Company 975 LLCwww.company35.comExec Name 35CEO••••••••••••@••••.com81
00036Company 866 LLCwww.company36.comExec Name 36VP of Marketing••••••••••••@••••.com88
00037Company 608 LLCwww.company37.comExec Name 37CEO••••••••••••@••••.com83
00038Company 654 LLCwww.company38.comExec Name 38Founder••••••••••••@••••.com97
00039Company 396 LLCwww.company39.comExec Name 39VP of Marketing••••••••••••@••••.com94
00040Company 945 LLCwww.company40.comExec Name 40Founder••••••••••••@••••.com80
00041Company 293 LLCwww.company41.comExec Name 41CEO••••••••••••@••••.com82
00042Company 718 LLCwww.company42.comExec Name 42VP of Marketing••••••••••••@••••.com97
00043Company 114 LLCwww.company43.comExec Name 43CEO••••••••••••@••••.com94
00044Company 332 LLCwww.company44.comExec Name 44Founder••••••••••••@••••.com89
00045Company 284 LLCwww.company45.comExec Name 45VP of Marketing••••••••••••@••••.com91
00046Company 175 LLCwww.company46.comExec Name 46Founder••••••••••••@••••.com85
00047Company 856 LLCwww.company47.comExec Name 47CEO••••••••••••@••••.com82
00048Company 625 LLCwww.company48.comExec Name 48VP of Marketing••••••••••••@••••.com92
00049Company 923 LLCwww.company49.comExec Name 49CEO••••••••••••@••••.com83
00050Company 437 LLCwww.company50.comExec Name 50Founder••••••••••••@••••.com89
[ 49,950 ROWS LOCKED ]
>_ SYSTEM.ANALYSIS.LOG_

Scraping life insurance leads is a minefield. Most sources are gated behind paywalls or fake forms. We finally cracked the aggregator APIs that list actual policy seekers, not just tire-kickers. Extracted intent signals from landing page visits and quote form submissions.

The hard part wasn't the scrape—it was deduplication. Same person appears on 5 different sites with slightly different phone numbers. We built a fuzzy match on email + phone + name, then kept the most recent entry. You'd be surprised how many 'leads' are just the same guy shopping around.

We also filter out the bottom 20% of junk: people with invalid zip codes, disposable emails, or who bounce off the quote form in under 10 seconds. That's the noise you don't want to pay for. The final CSV is clean, but it's still raw—you'll need to do your own enrichment.

Data Schema & Dictionary

Lead ID

Unique identifier for each lead. Use this to track your campaigns and avoid duplicates in your CRM. It's just a number, but it's your anchor.

First Name

Self-explanatory. But note, we only include leads where the name passed a basic validity check (no 'Test', 'John' only if last name exists). You'd be surprised how many leads are 'Test Test'.

Last Name

Self-explanatory. We scraped it from the quote form, so it's as accurate as the user typed it. Misspellings happen, but we keep them—you can fix later.

Email Address

The user's email. We validate format but not deliverability. If you email blast, expect bounce rates around 10%. Use this for outreach, not for spam.

Phone Number

Primary phone number, formatted with country code. We do a quick syntax check, but we don't call to verify. If you call, be ready for some dead ends.

Zip Code

5-digit zip. We filter out invalid ones, but we don't reverse geocode. Use this for geographic segmentation and compliance.

Age

Age as stated in the quote form. This is a key factor for life insurance pricing. If it's missing, we put 0—you'll want to filter that out.

Gender

M or F as selected. Sometimes blank if the form didn't ask. Not critical but helps with messaging.

Coverage Amount

The amount of coverage the lead requested, in dollars. This is a strong intent signal. A lead asking for $1M is hotter than one asking for $50k.

Quote Date

The date the lead submitted the quote request. We scrape on the 1st of the month, so this is usually within the last 30 days. Fresher is better.

Source URL

The URL where the lead came from. This tells you which aggregator or partner site they visited. Use it to analyze channel performance.

IP Address

The IP address at the time of the quote. We don't do anything with it, but you can use it for fraud detection or geo-verification.

Frequently Asked Questions

How fresh is this data?
We scrape it on the 1st of the month. If it bounces, tell us and we swap the credit. Simple. But don't expect real-time—this is raw CSV, not an API.
Can I get a sample before buying?
Yeah, we'll send you 50 random rows so you can sanity-check the quality. If you're not satisfied, don't buy. But we know it's solid—we've been doing this for 3 years.
How do you ensure the leads are actually interested in life insurance?
We scrape only from sites where users explicitly submit a life insurance quote request. That's a clear intent signal. We also filter out anyone who hit the form but bounced in under 10 seconds. It's not perfect, but it's about as good as you'll get without calling them yourself.

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