We build production scrapers.
88 actors live on Apify. 60,000+ runs delivered. We build new scrapers on commission — typically in days, not weeks — deployed on Apify or self-hosted, with monitoring, schema docs, and MCP packaging included.
Currently accepting new custom builds · 24h response · 5–7 day delivery
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88 platforms. One consistent schema.
From global names like LinkedIn, Indeed, and SEEK to regional leaders like Naukri, JobStreet, AutoScout24, Bilbasen, and Trustpilot — every source delivers the same field names, the same date formats, the same predictable shape.
Built around the sources where clean data is hardest to get.
Global Job Market Data
Structured listings across 70+ job boards on 5 continents. Salary parsing, contact extraction, full descriptions, ISO location coding, and incremental change tracking.
70+ scrapers Indeed · LinkedIn · StepStone · Reed · Naukri · SEEK · JobStreet · Monster · Glassdoor · HaysAutomotive & Real Estate
Listings from Europe's largest classifieds platforms — price history, mileage, fuel type, dealer profiles, listing-level dedup across portals.
9 scrapers AutoScout24 · Mobile.de · Bilbasen · Immowelt · ImmoScout24 · Idealista · DBA · Willhaben · FINNFreelance Platforms
Project listings with client intelligence, budget signals, posting history, and skill tags — designed for sourcing tools, market intelligence, and lead-gen pipelines.
3 scrapers Upwork · Truelancer · Freelancer.nlBrand & Reputation Monitoring
Trustpilot deep extraction with 200+ reviews per query, reviewer history, rating delta tracking, and complaint-signal detection — ready for daily brand-health pipelines.
6,500+ runs TrustpilotJob Aggregators
Massive cross-source feeds for breadth coverage. Hiring.Cafe alone surfaces 2.8M AI-enriched jobs from 46 ATS platforms — when you need scale over depth.
4 scrapers Hiring.Cafe · Adzuna · Talent.com · JobrapidoATS & Career Sites
Direct extraction from enterprise hiring stacks — bypasses aggregator middlemen, surfaces hidden jobs, and tracks per-company hiring velocity for competitive intel.
2 scrapers Greenhouse · Workday · Company Jobs TrackerProduction traction. Real numbers.
Top-performing actors across our catalog — each maintained with canary monitors, daily smoke runs, and incident response when sources change.
JobStreet Scraper
Coverage of MY, SG, ID, PH, VN — the dominant SEA job board. Full descriptions, salary parsing, employer profiles, location normalization.
Trustpilot Scraper
200+ reviews per query with reviewer history, sentiment markers, and complaint-signal detection. Built for daily brand-health monitoring.
SEEK Scraper
The leading AU/NZ job board. Salary bands, workload filters, full descriptions, and incremental delta tracking for daily pipelines.
Upwork Scraper
Project listings with client history, budget data, location, and skill tags. Used by sourcing tools, recruiting platforms, and market-intel teams.
Naukri Job Scraper
India's largest job board — salary data, full descriptions, recruiter contacts, location normalization. The widest-adopted actor in our catalog.
Hiring.Cafe Scraper
2.8M AI-enriched jobs aggregated from 46 ATS platforms — Greenhouse, Lever, Workday, Ashby, and dozens more. When breadth matters.
Every actor we operate.
The full set of 88 production actors we’ve shipped to Apify Store — organized by vertical, sorted by traction within each group. Browse what we’ve built. Then tell us what we should build next.
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Clean, normalized, AI-ready.
Every actor writes to the same Apify dataset format. Pick your output: JSON for code, CSV/Excel for analysts, JSON Lines for streaming, or call the actor as an MCP tool from your AI agent.
Field names are consistent across every job board, every country. No re-mapping. No schema drift between sources. ISO 8601 dates. ISO 3166 country codes. Currency-coded salaries.
- id stable across re-runs
- posted_at ISO 8601 UTC
- title · company · location always populated
- salary_min · salary_max · currency parsed where present
- description_text · description_html full body
- apply_url · contact_email · contact_phone extracted where available
- tags · skills · is_remote · seniority normalized
- change_type new · changed · removed (incremental mode)
// SEEK Australia — data engineer search { "id": "seek-au-79224418", "source": "seek.com.au", "country": "AU", "posted_at": "2026-05-14T08:12:00Z", "title": "Senior Data Engineer", "company": "Atlassian", "location": { "city": "Sydney", "region": "NSW", "country_code": "AU" }, "is_remote": true, "salary_min": 160000, "salary_max": 195000, "currency": "AUD", "contract_type": "full_time", "seniority": "senior", "tags": ["python", "airflow", "snowflake", "dbt"], "apply_url": "https://www.seek.com.au/job/79224418", "change_type": "new", "scraped_at": "2026-05-16T03:14:22Z" }
// AutoScout24 — Audi A6 listings DE { "id": "as24-de-441907118", "source": "autoscout24.de", "country": "DE", "listed_at": "2026-04-28T11:22:00Z", "make": "Audi", "model": "A6", "trim": "45 TFSI quattro S line", "year": 2022, "mileage_km": 41280, "price_eur": 42990, "fuel_type": "petrol", "transmission": "automatic", "power_hp": 265, "dealer": { "name": "Audi Zentrum München", "location": "München, BY", "phone": "+49 89 1234567" }, "listing_url": "https://www.autoscout24.de/angebote/441907118", "change_type": "price_changed", "prev_price_eur": 44500 }
// Trustpilot — review extract for example.com { "id": "tp-65f02a1b8c4e0", "source": "trustpilot.com", "target_domain": "example.com", "posted_at": "2026-05-12T14:08:00Z", "reviewer": { "display_name": "Marcus T.", "country": "DK", "review_count_lifetime": 12 }, "rating": 2, "title": "Shipping took 3 weeks", "body": "Product is fine but the delivery experience...", "complaint_signals": ["shipping_delay", "poor_communication"], "verified_purchase": true, "company_replied": false, "rating_delta_30d": -0.4, "review_url": "https://www.trustpilot.com/reviews/65f02a1b8c4e0" }
Need a scraper we haven’t built yet?
Send us the URL of the source you want data from. We respond within 24 hours with feasibility, scope, and timeline. Most custom builds ship in 5–7 days.
How we work
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01
DiscoveryYou send the source URL and the fields you need. We evaluate anti-bot defenses, JS rendering, auth requirements, and rate-limit constraints. Quote and timeline back within 24h.
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02
PrototypeWorking scraper covering the 80% case. You get a sample dataset, schema preview, and a working actor on Apify to test against. Iterate on field-level requirements.
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03
ProductionAnti-bot hardening, proper error handling, observability, performance tuning, MCP packaging. Deployed on Apify Store under your account or ours, or shipped as source code for self-hosting.
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04
MonitoringDaily canary smoke runs catch schema drift before your customers do. Incident response when the target site changes. Optional ongoing SLA.
What you get
- Production-grade scraper code, yours to own
- Deployed on Apify (hosted, scalable) or as source for self-hosting
- Versioned schema documentation with field-level semantics
- Canary monitor catching anti-bot upgrades and schema drift
- Incident response within SLA when the target changes
- MCP-tool packaging so AI agents can call it directly
- REST API, dataset export, and JSON Lines streaming out of the box
- 30 days free post-launch maintenance, optional ongoing SLA
Engagement models
- Custom build — fixed-scope project, you own the code
- Ongoing data feed — we build, maintain, and deliver daily
- Subscription — use any of our 88 existing actors on Apify Store
Things we’ve already shipped.
Anonymized highlights from the catalog. Real run counts. Real customer outcomes.
2.8M jobs from 46 ATS platforms, in one schema
Challenge: Recruiting platform needed deep coverage across the long tail of company career pages. Maintaining 46 separate ATS integrations was killing their engineering team.
Approach: Built a single normalizer over Hiring.Cafe’s aggregated feed, mapping Greenhouse, Lever, Workday, Ashby, SmartRecruiters, Recruitee and 40 more into one consistent shape.
Outcome: 2.8M live AI-enriched jobs, single integration point, schema stability when ATS vendors change their APIs.
Trustpilot deep-extraction at scale
Challenge: Customer-success team needed to detect emerging complaint patterns and rating-deltas before churn signals reached the dashboard.
Approach: Built deep-page extraction with 200+ reviews per query, reviewer history, complaint-signal classifier, rating-delta tracking, and verified-purchase flagging.
Outcome: 6,500+ scraping runs delivered to 40+ paying customers, daily brand-health pipelines, early-warning on review-bombing campaigns.
JobStreet coverage across 5 markets
Challenge: A regional recruiting product needed unified SEA coverage. Manual aggregation across MY, SG, ID, PH, VN portals was breaking weekly.
Approach: Single actor covering all 5 country portals, normalized salary parsing across IDR/MYR/SGD/PHP/VND, employer profile dedup, incremental change tracking.
Outcome: 14,452+ runs and counting, schema-stable across all 5 markets, customer ships a unified SEA jobs product without touching scraping code.
Automotive market intel across Europe
Challenge: A market-intel firm tracking used-car pricing needed coverage across 6 European platforms with normalized price, mileage, fuel, and dealer data — without each portal's HTML and field quirks bleeding into their pipeline.
Approach: Per-portal scrapers (AutoScout24, Mobile.de, Bilbasen, Immowelt, Idealista, Willhaben) with a shared output schema, cross-portal listing-hash dedup, and price-history delta tracking.
Outcome: Stable cross-portal product, dedup catches the same listing across portals, price-delta signals feed valuation models.
vs. the alternatives.
If you’ve scoped this work yourself, you’ve already considered the trade-offs. Here’s how we stack up.
| BlackFalconData | Offshore agency | Freelance dev | Build in-house | |
|---|---|---|---|---|
| Time to first working scraper | 3–5 days | 2–4 weeks | 1–3 weeks | 4–12 weeks |
| Anti-bot expertise (Cloudflare, DataDome, etc.) | ✔ Daily practice | ● Varies | ● Varies | ✖ Learn on the job |
| Ongoing maintenance & canary monitoring | ✔ Included for 30 days, optional SLA | ✖ Separate contract | ✖ Hourly billing | ● Your team's burden |
| You own the code | ✔ Full transfer | ● Sometimes | ✔ Usually | ✔ Always |
| Production-grade output (schema, dedup, MCP) | ✔ Default deliverable | ● Scope-dependent | ✖ Rarely included | ● Your standards |
| Track record visible | ✔ 88 actors, 60K+ runs on Apify Store | ✖ NDAs hide it | ● Personal GitHub | N/A |
| Cost predictability | ✔ Fixed-scope quote in 24h | ● Often expands | ✖ Hourly | ✖ Salary + opportunity cost |
Common questions, answered.
How fast can you build a custom scraper?
What anti-bot defenses can you handle?
Where does the scraper run?
Do I own the code?
What if the source site changes its anti-bot or schema?
How is data delivered?
What does it cost?
Is scraping legal?
Can you handle very large volumes?
Can you take over a scraper someone else built?
Data your pipelines
can depend on.
Most scraping projects stall on maintenance. Sources change, schemas drift, anti-bot defenses evolve, and what worked last quarter silently breaks. BlackFalconData manages the full lifecycle — extraction, normalization, monitoring, and incident response — so your team receives clean structured data every day without operational overhead.
- Canary monitors on every actor — schema drift gets caught before customers do
- Anti-bot stack tuned per source: CapSolver, residential proxies, session bootstrap
- Field normalization and ISO 8601 dates across every source, every market
- Incremental delta tracking for cost-efficient daily refreshes
- Direct contact for enterprise volume, custom fields, or new source requests
One dataset. Three ways to consume it.
Apify-hosted endpoints
Trigger any actor over HTTPS. Token auth, JSON responses, datasets persist as long as you need them.
# Start a SEEK Australia scrape POST /v2/acts/blackfalcondata~seek-scraper/runs "country": "au", "keywords": "data engineer"
JSON · CSV · Excel · XML
Download structured output in the format your pipeline already speaks. Schema versions are stable and documented.
# Pull last run as JSON GET /v2/acts/.../runs/last/dataset/items ?format=json &clean=true
Native for AI agents
Every actor surfaces as an MCP tool. Connect Claude, ChatGPT, or any agent — no glue code, no schema translation.
# Claude / Cursor / Cline config "apify": { "command": "npx", "args": ["@apify/actors-mcp-server"] }
Got a scraper you need built?
Send us the source URL, the fields you need, and any deadline. We respond within 24 hours with feasibility, scope and timeline — no commitment, no upsell. If we can’t build it, we’ll say so.
Or write directly: [email protected]