Custom Scrapers Pricing
Generate custom scrapers with an automatic scraper creation platform
- 300,000 records
(additional records at $4 per 1K) - 24/7 priority support
- Tailored onboarding
- Flexible delivery: JSON, NDJSON, or CSV files through Webhook or API
- 100,000 records per month
(additional records at $4 per 1K) - 24/7 priority support
- Scraper maintenance
- Tailored onboarding
- Flexible delivery: JSON, NDJSON, or CSV files through Webhook or API
personalized quote
- End-to-end data collection and management
- Dedicated Data Concierge Service
- Reports, dashboards & analytics
- Expert recommendations & insights
- Custom formats & integrations
- Dedicated Project Manager
- Analyst support
- Ongoing manual & automated QA
- Proactive issue monitoring
- Daily project board updates
- 24/7 support
Using AWS? You can now pay through the AWS Marketplace 
Customer favorite features
- Data Compliance
- Data validation
- Custom output fields
- Subscription
- 24/7 support
- Maintenance free
- Dedicated account manager
- Scraper API
- High-volume data
- No coding
- Flexible delivery
- Diverse sources
Payments with AWS Marketplace
Leverage your purchases to meet your AWS commitments and enjoy streamlined procurement and invoicing all in one place. Benefit from AWS’s robust validation and compliance checks for partners.
Industry Leading Compliance
Our privacy practices comply with data protection laws, including the EU data protection regulatory framework, GDPR, and CCPA – respecting requests to exercise privacy rights and more.
Custom Scrapers FAQs
What are Custom Scraper?
A Custom Scraper is a cloud-based service that simplifies web data extraction, offering automated handling of IP rotation, CAPTCHA solving, and data parsing into structured formats. It enables efficient, scalable data collection, tailored for businesses needing to access valuable web data seamlessly. The scraper is custom-built to meet your exact needs.
Who can benefit from using a Custom Scraper?
Data analysts, scientists, engineers, and developers seeking efficient methods to collect and analyze web data for AI, ML, big data applications, and more will find Scraper APIs particularly beneficial.
Why choose a Custom Scraper over manual scraping methods?
Bright Data's Custom Scrapers overcome the limitations of manual web scraping, such as dealing with website structure changes, encountering blocks and captchas, and the high costs associated with infrastructure maintenance. It offers an automated, scalable, and reliable solution for data extraction, significantly reducing operational costs and time.
What makes Bright Data’s Custom Scrapers unique in the market?
The uniqueness of Bright Data's Custom Scrapers lies in its specialized features like Bulk Request Handling and Data Discovery, backed by advanced technologies including Residential Proxies and JavaScript Rendering. These capabilities ensure broad access, uphold high data integrity, and enhance overall efficiency, distinguishing Scraper APIs in the competitive landscape.
What specific use cases are Scrapers optimized for?
Some of the common use cases web scrapers support including competitive benchmarking, market trend analysis, dynamic pricing algorithms, sentiment extraction, and feeding data into machine learning pipelines. Essential for e-commerce, fintech, and social media analytics, these APIs empower developers to implement data-driven strategies effectively. However, since we develop the scraper for you, it can be tailored to support any use case you have in mind.
How do Scrapers manage large-scale data extraction tasks?
Featuring capabilities for high concurrency and batch processing, Custom Scrapers excel in large-scale data extraction scenarios. This ensures developers can scale their scraping operations efficiently, accommodating massive volumes of requests with high throughput.
In which data formats can Custom Scrapers provide extracted information?
Custom Scrapers deliver extracted data in versatile formats including NDJSON and CSV, ensuring seamless integration with a wide array of analytics tools and data processing workflows, thus facilitating easy adoption in developer environments.