Lobstr.io Review 2026: LinkedIn Scraping & Automation — Pricing & Features

What Is Lobstr.io?

Lobstr.io is a no-code web scraping platform with pre-built scrapers for LinkedIn, Google Maps, Instagram, Twitter, and other sources. It is designed for non-technical users who need structured data from these platforms without writing code or managing a custom scraper.

The platform is popular with marketers, growth teams, and researchers who need lists of companies or people matching specific criteria — extracted directly from LinkedIn search results or Google Maps.

Lobstr.io is primarily a data extraction tool. As of September 2026, some scrapers offer paid add-ons for email enrichment, phone enrichment, and email verification, but there is no lead scoring or account prioritization. The output is structured data that you then process and use downstream.

What You Get

Lobstr.io provides pre-built scrapers across multiple platforms plus output in CSV/JSON.

Scrapers and Data Sources

Lobstr.io's pre-built scrapers cover the most common B2B data sources. The LinkedIn scrapers are the most widely used — you paste a search URL from LinkedIn or Sales Navigator and Lobstr.io extracts the results as structured data.

The Google Maps scraper is popular for local business prospecting. You define a location and keyword (e.g., "plumbers in Chicago") and get a list of businesses with name, address, phone, website, and review data.

Configuration is genuinely no-code. You select the scraper, enter the source URL or search query, set filters, and run. Results download as a CSV in minutes. Non-technical users can be productive in under 30 minutes.

Data Quality and Output

The data Lobstr.io returns is as accurate as what is publicly available on the scraped platform. For LinkedIn, that means profile data reflects what the person has chosen to show publicly — title, company, location, and (rarely) email.

Email coverage is the biggest weakness for sales use cases. Most LinkedIn profiles do not list a public email address, so a plain profile scrape returns few emails. Lobstr.io's Email Enrichment add-on (9 credits per profile, charged only when an email is found) fills part of that gap, but the vendor does not publish a hit rate, so test it on a sample of your own list before relying on it.

The raw output also requires cleaning before use — duplicate removal, normalization of company names, filtering out irrelevant records. Plan for data processing time after every scrape.

Lobstr.io Pricing

Lobstr.io uses a credit-based model where 1 credit equals 1 unique result. Credits refresh every month and do not roll over. As of September 2026, the plans are:

• Free — 100 credits/mo, 1 scraper running at a time, 7-day data retention. Exports are capped at 30 rows per request, scheduling is not available, and Premium scrapers are locked.
• Starter — 10,000 credits/mo, 2 concurrent scrapers, 28-day retention. Good for one-off extractions or low-frequency campaigns.
• Pro — 100,000 credits/mo, 10 concurrent scrapers, 28-day retention. Suitable for regular prospecting campaigns.
• Team — 1,000,000 credits/mo, 50 concurrent scrapers, 28-day retention. For high-volume list building.
• Custom — Enterprise plans scoped with sales for extra integrations, security, and governance.

Each paid tier costs five times the one below it and includes ten times the credits, so the cost per result halves at every step. Annual billing is available, VAT may apply in Europe, and current amounts are shown in your billing currency on lobstr.io's pricing page. The entry tier is one of the more affordable ways into automated data extraction, but contact data is priced separately in credits, as the next section shows.

What is missing at every tier

• Email enrichment costs 9 credits per profile found
• Mobile phone enrichment costs 300 credits per number found
• Raw data requires cleaning before it is usable
• Credits reset monthly and do not roll over
• No lead scoring or prioritization
• LinkedIn ban risk applies if account-based scrapers are detected

Lobstr.io Credit Costs: What a Lead Actually Costs

Lobstr.io's plan credits only tell half the story. Each scraper charges its own credit rate, and the optional enrichment steps cost far more than the scrape itself. These are the rates Lobstr.io lists for the scrapers B2B teams use most, as of September 2026:

Put together, the math looks like this. A Sales Navigator lead with an enriched email costs up to 10 credits (1 to export, 9 to enrich), so the Starter plan's 10,000 monthly credits cover roughly 1,000 leads with emails. Add a mobile number and a single lead costs 310 credits, which means Starter covers only about 32 fully enriched leads a month. Phone enrichment is where budgets break, so reserve it for your highest-priority accounts.

Local-business prospecting is much cheaper. A Google Maps business with a website email and a verification check costs about 4 credits, so Starter covers roughly 2,500 verified local leads. Because you are not charged when no email or phone is found, the effective cost per usable record is lower than these ceilings suggest, but only a test run on your own targets will tell you the real hit rate.

Two plan features matter as much as credits. Concurrency sets how many scrapers (Lobstr.io calls them Squids) can run at once, from 1 on Free to 50 on Team, and scheduling lets paid plans rerun scrapes daily, weekly, or on set dates. Data is deleted after the retention window, so set up an automatic export to Google Sheets, S3, or SFTP for anything you run on a schedule.

Downsides to Know

Raw data is not sales-ready

Every Lobstr.io output needs manual cleanup. Duplicate profiles, incomplete records, and inconsistent formatting are common — especially from large scrapes. Factor in processing time when planning campaigns.

Contact data costs extra

The most critical gap for sales teams. A plain scrape returns few emails, so contactable leads depend on the enrichment add-ons: 9 credits per email and 300 credits per mobile number found. At scale, that multiplies credit burn well beyond the headline plan allowance.

LinkedIn scraping restrictions

LinkedIn actively blocks scraping. Lobstr.io uses sessions and proxies to work around this, but large-scale scrapes can fail or return incomplete data. Account-based scrapers (those that require your LinkedIn login) carry the same account restriction risk as automation tools.

No prioritization layer

Lobstr.io gives you a list. It does not tell you which accounts on that list are worth prioritizing or which have the right technographic profile. All of that analysis is your responsibility.

Is Lobstr.io Worth It?

Lobstr.io is worth its price for marketing teams, researchers, and growth hackers who need raw data from multiple sources at low cost. The no-code scrapers are accessible and the pricing is fair for what you get.

For sales teams, the gap between scraped data and a sales-ready prospect list is still significant. Email and phone enrichment cost extra credits, mobile numbers in particular are expensive, and there is no scoring layer, so plan for cleanup and prioritization before the data drives actual pipeline.

Start on the free plan to test a scraper against your own sources, then size a paid tier from the credit math above rather than from the headline credit allowance.