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Join Bright Data Glassdoor Job Listings with Socialgist Reviews
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Glassdoor Job Listings
URL-based collection of Glassdoor jobs listing. Returns matching jobs listing that contain hiring company, company rating, job position, job location, job description, hiring company’s reported revenue, percentage of employees recommending the company to a friend and more.
About Socialgist Reviews
Covering over 50 Chinese review platforms and over 250 English review platforms, this dataset offers insights into customer satisfaction, product feedback, and consumer trends. Whether it’s understanding how products are received, tracking competitor performance, or identifying areas for improvement, Socialgist Reviews dataset provides the real-world voice of the customer, crucial for market analysis, product development, and brand management.
Quickly connect Bright Data Glassdoor Job Listings and Socialgist Reviews with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Glassdoor Job Listings
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Socialgist Reviews with Unify or another transformer to combine schemas
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Bright Data Glassdoor Job Listings and Socialgist Reviews
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.