Thousands of companies of all sizes — from startups to large enterprises — use lobstr.io's software and APIs to collect data and automate repetitive actions online.

Building a scraper from scratch means handling proxies, captchas, account bans, exports, scheduling, and a dozen edge cases per platform. lobstr.io packages 50+ production-ready scrapers — we call them Squids — that already solve those problems, accessible from a no-code dashboard or programmatically via API, SDK, CLI, and MCP.

• No-code dashboard and a full API. Most platforms force a choice. Launch ad-hoc work from the UI in three clicks, then graduate to the SDK or CLI for production pipelines — same Squids, same data, same credit pool.
• One-click account sync, no password sharing. A browser add-on captures your cookies for LinkedIn, Sales Navigator, Facebook, Leboncoin, X/Twitter, and TikTok. lobstr.io scrapes through your authenticated session — credentials never leave your browser.
• Built-in everything. Rotating proxies on every plan, scheduling (every 5 minutes to weekly), multi-threaded runs (up to 20 parallel slots per Squid), Google Sheets / S3 / SFTP exports, Zapier and HubSpot integrations, and human support from the team that built it. No add-ons, no plugins.

By source

By use case

• Sales lead generation — daily LinkedIn Sales Navigator scrapes piped into HubSpot, Salesforce, or a spreadsheet via the Make and Zapier integrations.
• Local market research — enumerate every restaurant, clinic, agency, or shop in a city with phone, email, hours, and ratings from Google Maps.
• Real estate intelligence — track new listings and price changes across SeLoger, Immoweb, Idealista, PAP, Realtor, and others on a schedule.
• HR & talent analytics — pull LinkedIn profiles and job listings for hiring pipelines and competitive workforce intelligence.
• Reputation monitoring — aggregate TripAdvisor, Trustpilot, and Yelp reviews into BI dashboards for brand teams.
• Marketplace & price tracking — monitor Vinted, Leboncoin, AutoScout24, and LaCentrale inventory and pricing in near-real-time.
• Social listening — pull YouTube channel analytics, Instagram profiles, TikTok content, Reddit threads, and X/Twitter activity for content and trend analysis.

Use the API, SDK, or CLI for production. Connect lobstr.io to AI agents via MCP. All four speak to the same backend as the dashboard.

pip install lobstrio-sdk

from lobstrio import LobstrClient

# Token resolved from LOBSTR_TOKEN env var, then ~/.config/lobstr/config.toml
client = LobstrClient()

# Find the right crawler, create a Squid, run it, stream results
crawler = next(c for c in client.crawlers.list() if c.slug == "google-maps-leads-scraper")
squid = client.squids.create(crawler=crawler.id, name="Paris Restaurants")
client.tasks.add(squid=squid.id, tasks=[
    {"url": "https://google.com/maps/search/restaurants+paris"}
])

run = client.runs.wait(client.runs.start(squid=squid.id).id)
print(f"Done — {run.total_results} results, {run.credit_used} credits used")

for place in client.results.iter(squid=squid.id):
    print(place["name"], place.get("phone"))

Full SDK docs →

pip install lobstrio

lobstr crawlers search "google maps"
lobstr squid create google-maps-leads-scraper --name "Paris Restaurants"
lobstr task add SQUID_ID "https://google.com/maps/search/restaurants+paris"
lobstr run start SQUID_ID --wait
lobstr results get SQUID_ID --format csv -o results.csv

Full CLI docs →

Connect lobstr.io's docs MCP server to Claude, Cursor, or any MCP-compatible agent to query the help center and generate code from inside your AI assistant.

curl -X POST https://docs.lobstr.io/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "method": "tools/call",
    "params": {
      "name": "search_lobstr_io",
      "arguments": { "query": "create squid" }
    },
    "id": 1
  }'

Full MCP docs →