LinkedIn people profiles
Name, title, city, country, current company, experience, followers, and selected contact-related fields.
Clean, structured, and compliance-ready public web data, updated continuously, validated for accuracy, and ready to connect to your tools the moment you need them.
Use sample records, field coverage transparency, and scalable delivery options to evaluate, purchase, and integrate datasets faster.
Name, title, city, country, current company, experience, followers, and selected contact-related fields.
Business name, category, full address, coordinates, phone, website, rating, opening hours, and business details.
Company name, country, locations, employee scale, followers, company description, industry tags, and specialties.
Product title, brand, seller, price, currency, availability, rating, review count, and category fields.
Post text, publish time, likes, comments, shares, hashtags, author details, and engagement metrics.
Username, profile ID, follower count, post count, verification status, account type, bio, and link data.
Use real record counts, market distribution, and key field completeness to judge business usability instead of relying on broad scale claims.

Reduce uncertainty before purchase with sample records and field dictionaries.

100M+ Residential IPs · Zero Block Rate
Live Extraction · Validated Schema
JSON, CSV, Excel & Cloud Sync
Standard data packs for general scenarios: schemas and fields are pre-built. After ordering, you can use them immediately—ideal for quick validation and small-to-medium scale adoption.
Data engineering for specific business/industry/training goals: customize fields, scope, filtering rules, and delivery cadence so the data fits your needs and constraints.
Best for building prospect lists, enriching company and contact records, and identifying key people and organizations in target markets.
LinkedIn People、Instagram Profiles, and more.

Leverage our global residential proxy network and enterprise infrastructure to tailor secure, compliant data for you.


Our team used to spend countless hours manually extracting leads from various platforms. With Thordata's integration, it takes just minutes. It saves us 10+ hours every week and supercharges our entire sales pipeline.

The biggest advantage of the LinkedIn dataset for us was being able to validate talent and company distribution in a market without starting from scratch. The time savings were substantial.

Finally, a tracking tool that actually delivers. We monitor thousands of SKUs across major retail sites. The pay-per-result model is a game-changer for our budget—failed requests cost nothing, making it completely risk-free.

What stood out most to us in the Google Maps dataset was the completeness of address, coordinate, and core business fields. For local business intelligence and regional research, this kind of structured data is incredibly useful.

What we valued most was the transparency around coverage and field completeness. Being able to review the sample first, then inspect the schema, made internal evaluation much smoother.

Stability and support are everything to us. Not only is Thordata's proxy network remarkably robust, but their support team responds within minutes whenever we need custom assistance. A truly reliable partner.

Our team used to spend countless hours manually extracting leads from various platforms. With Thordata's integration, it takes just minutes. It saves us 10+ hours every week and supercharges our entire sales pipeline.

The biggest advantage of the LinkedIn dataset for us was being able to validate talent and company distribution in a market without starting from scratch. The time savings were substantial.

Finally, a tracking tool that actually delivers. We monitor thousands of SKUs across major retail sites. The pay-per-result model is a game-changer for our budget—failed requests cost nothing, making it completely risk-free.

What stood out most to us in the Google Maps dataset was the completeness of address, coordinate, and core business fields. For local business intelligence and regional research, this kind of structured data is incredibly useful.

What we valued most was the transparency around coverage and field completeness. Being able to review the sample first, then inspect the schema, made internal evaluation much smoother.

Stability and support are everything to us. Not only is Thordata's proxy network remarkably robust, but their support team responds within minutes whenever we need custom assistance. A truly reliable partner.

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Thordata's dataset is a multimodal collection of text, image, and video data from various fields, designed to support AI model training and development.
The dataset is typically used for e-commerce monitoring, social analysis, AI training, financial risk control, and industry research.
The dataset is typically provided in formats like CSV, JSON, NOJSON, image files (e.g., JPEG, PNG), and video files (e.g., MP4), depending on the data type.
Users can choose to fill in missing values, delete missing data, or use algorithms to handle outliers; Thordata provides relevant suggestions.
Yes, the Thordata dataset supports multiple languages, suitable for global users.
Users can evaluate model performance using metrics like cross-validation, confusion matrix, and F1 score, and perform tuning.