Scale, freshness, completeness, high fill rates, and custom schema. Built for teams embedding structured data inside their own product.
When your product depends on data quality, the difference between a good data partner and a great one shows up in your fill rates, your churn, and your customer complaints.
Start with 100K records. Scale to 100M+ without changing your integration. Our infrastructure is built for platform-level volumes from day one.
From 100K to 100M+ recordsMonthly, quarterly, or continuous refresh. Every record is timestamped. You always know the age of the data your platform is serving to customers.
Quarterly standard. Monthly on custom plans.We report fill rates per field before you commit. No hidden sparsity. The fields your enrichment pipeline depends on are the ones we prioritise coverage on.
95%+ average fill rateYour data model is not the same as ours. We map fields to your schema before delivery so the data lands exactly where your pipeline expects it.
Custom field names and structureData delivered as structured flat files to S3, GCS, SFTP, or your destination of choice. JSON, CSV, Parquet, and NDJSON supported. Your pipeline, your format.
S3, GCS, SFTP, FTP, emailDedicated account manager on every deal. They monitor your data feeds, flag quality issues before you notice them, and adapt the schema as your product evolves.
Named account manager on every dealEvery platform type has different requirements. Here is how we serve each one.
AI SDR platforms need people and company data to identify prospects, personalise outreach, and route leads. They need it at scale, with high coverage of email signals, titles, and employment history.
Recruiting platforms need structured professional profiles — skills, employment history, education, location, seniority. Coverage and freshness directly affect match quality and candidate discovery rates.
Signal platforms need review data as a proxy for buyer intent — G2 category comparisons, Glassdoor sentiment, hiring signals from job boards. Structured, schema-consistent, and delivered on a refresh cadence.
Influencer platforms need creator data at scale — subscriber counts, engagement rates, content categories, contact information, and audience demographics. Across YouTube, TikTok, and Instagram in one schema.
Research and intelligence platforms need structured company data — industry, headcount, geography, funding signals, and leadership profiles — to power research tools, deal sourcing, and market maps.
We work with platform builders across categories not listed here. If you are embedding structured data inside a product, we can likely help.
Every dataset ships with a data dictionary and a free sample. No surprises on field coverage or data quality after you have integrated.
| People profiles coverage | 600M+ records across 190+ countries |
| Company records | 200M+ companies across all major markets |
| Average fill rate | 95%+ across core fields. Reported per field before purchase. |
| Data freshness | Quarterly refresh as standard. Monthly refresh available on custom plans. |
| Delivery formats | JSON, CSV, Parquet, NDJSON |
| Delivery destinations | S3, GCS, SFTP, FTP, direct download |
| Schema customisation | Field names, field selection, and nesting mapped to your model |
| Deduplication | Record-level deduplication included on all plans |
| Sample before purchase | Free sample on every dataset. No commitment required. |
| Minimum order | No minimum. Start with 100K records. |
Field names and nesting customised to your schema on request. Full data dictionary available before purchase.
No lengthy procurement. No minimum commitments to start. Get a sample, validate the quality, and integrate.
Tell us the dataset and the fields you need. We send a representative sample within one business day.
Review fill rates, field coverage, and data freshness against your requirements. Ask us anything about the data dictionary.
We map to your field names and structure. Agree file format, delivery destination, and refresh frequency before anything starts.
First full delivery within days. Your account manager monitors quality and handles any changes as your platform grows.
The fill rate on employment history was the deciding factor. Every other provider we tested had gaps that broke our matching algorithm. WebAutomation's data just worked.
We switched from Bright Data because of the schema flexibility. Getting our field names in the output instead of theirs saved us two weeks of integration work.
The account manager flagged a coverage drop on a specific country before we even noticed it in our product metrics. That kind of proactive support is rare at this price point.
Tell us which dataset and which fields you need. We send a representative sample within one business day. No commitment required.