Quick answers,
before you sign up.

No. There's no recurring billing — top up credit only when you want to scrape beyond the free tier. The free tier itself never converts to paid automatically.

500 free records every calendar month, across every tool. No card required to activate. Resets on the 1st of each month.

Flat $0.002 per record, every scraper, every record. No tiered minimums, no per-seat fees. See pricing for the calculator.

No — top-up credit never expires. The 500 free monthly usages reset every month, but anything you've paid for stays in your account until you use it.

No. There is no recurring billing. You only spend when you choose to top up.

Yes — every top-up generates a downloadable PDF invoice. For Business-tier customers we can also issue net-30 invoices on request.

Major credit and debit cards (Visa, Mastercard, Amex), and bank transfer for Enterprise. We use Stripe for card processing — your card details never touch our servers.

Yes — every scraper has a REST endpoint. Trigger jobs, stream results, listen for webhooks. Full OpenAPI spec and reference docs available.

We ship official SDKs for Node.js, Python and Go. Community-maintained wrappers exist for Ruby, PHP and .NET — search GitHub for the latest.

Yes — register a webhook URL on any task and we'll POST a signed payload when the run completes. Includes the export URL and a fingerprint for idempotency.

200 requests per minute on the free tier; higher limits negotiable on Business and Enterprise. The actual scrape concurrency is governed separately by your credit balance.

Bearer token in the Authorization header. Generate a key from your dashboard's API tab; rotate it any time.

Every endpoint in the API docs includes copy-paste examples in cURL, Node.js, Python and Go. There's also a live API playground for trying calls without code.

Automated extraction of publicly-visible data from Google Maps — names, addresses, phone numbers, ratings, reviews, websites, geo-coordinates and more. Sign in, open the Google Maps Scraper, pick categories & locations, choose output format, click Get Data.

Yes — phone numbers come back directly. For emails, chain the Email & Contact Scraper on the websites the Maps scraper returns. Phones, emails and socials in one pipeline.

As many as you need. A single task supports up to 500,000 records with auto-split — bigger jobs split into batches that download, retry and resume independently.

As accurate as Google itself — we extract directly from public Maps results, so the data matches what any visitor would see. We deduplicate, normalise and validate fields before they land in your export.

Yes — we collect only publicly available business information. No logins, no paywalls, no personal data.

Depends on the category — daily for fast-moving ones (restaurants, retail), monthly for slower (manufacturing, B2B). Every re-run is a fresh, live pull.

Sign in, open the Google Reviews Scraper, enter the businesses or place IDs you want, optionally filter by date / rating / keyword, choose output format, click Get Data.

Every public field on each review: review text, reviewer name & profile, star rating, review date, language, photo URLs, owner replies (and their timestamps), helpful counts, and stable identifiers.

Yes. The official Google Maps Places API limits you to 5 reviews per place. Our scraper pulls every review on every page — every language, every date, no cap.

Reputation management, competitor analysis, market research, sentiment analysis, support routing and CX trend monitoring.

Yes — the raw text, language and rating come back in the export, ready for your own sentiment model, an LLM, or a dashboard tool. We preserve original wording verbatim.

Yes. Use the Email & Contact Scraper to extract email addresses, phone numbers, social profiles and tech-stack metadata from any list of websites — single URL or thousands at a time.

Sign in, open the Email Scraper, paste or upload your list of websites, pick the fields you need, choose output format, click Get Data. Results land in your dashboard within minutes.

Common challenges include identifying the correct address format, dealing with obfuscated emails, avoiding duplicates, and handling sites that try to block scraping. Our scraper handles each of these — you just see clean output.

You build targeted lead databases for specific audiences and run focused campaigns — fresher, cheaper, and more accurate than buying a stale list.

Yes — extracted directly from each website's public pages, then validated against MX records and known spam-trap lists before they hit your sheet.

Yes — when the data is publicly published. You're responsible for the lawful basis on your end of the outreach (GDPR, CAN-SPAM, ePrivacy etc.). Extraction itself is done ethically and only on publicly available info.

A potential customer who has shown interest in a product or service and has identifiable contact information — a person or company with the potential to become a paying customer.

A collection of potential-customer records that includes contact details — name, email, phone number, address, plus firmographics. Used for lead generation and marketing.

Use the Livescraper Lead Generation Database. Pick your industry and location, set filters, download. Records refresh continuously — for instance, "all restaurants in New York" is one filter away from a CSV.

B2B databases are typically built by web scraping, lead-gen campaigns, or consolidating purchased lists. Our approach is the first one — clean, public-source extraction at scale, deduplicated and validated.

It gives you a centralised, organised repository for marketing and sales — so you can identify and target the right customers based on industry, company size, location and other firmographics.

Soon — you'll be told first if you're on the early-access list. In the meantime, we fulfil custom orders manually using the same data and same quality bar. Get in touch with the slice you want.