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ScrapeLabs Data Products: APIs & Datasets

DoorDash Restaurants List (all 294k records) | scrapelabs.io

LinkedIn data - get any employee, company, or job posting data at scale | scrapelabs.io

Pricing data scraping - price scraping and price monitoring from any website on the Internet | scrapelabs.io

Real estate data scraping - get property data from any website on the Internet | scrapelabs.io

Custom dataset from any website on the Internet

Amazon seller lists - 960k+ sellers from 7 international marketplaces | scrapelabs.io
ScrapeLabs Pricing & Cost
We offer flexible pricing options:
• Per lead pricing if you’re looking for smaller datasets
• Buy an entire dataset at a discounted rate
• Buy a dataset and get the data refreshed on a schedule
ScrapeLabs Reviews
Your Review
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ScrapeLabs Competitors & Alternatives
APISCRAPY
APISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
Exellius Systems
Their meticulously curated database delivered an impressively high email delivery rate, reaching key decision-makers in our industry. The accuracy of their contacts saved us time and resources, making our campaign highly effective. Their responsive and supportive team further enhanced the overall experience. We highly recommend their services for anyone seeking top-notch databases for successful email campaigns.
Success.ai
I’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
Webautomation
I bought some Firmographic data from webautomation to use as part of our AI stack. The price was fair and the data quality was very good. Great service all round. Would highly recommend their service.
About ScrapeLabs
ScrapeLabs in a Nutshell
Primarily, we are a custom web scraping agency. You give us the websites and we extract the data you need.
This means we collect tons of data every month. And we offer some of this data here, on Datarade.
Currently, we’re focused on marketplace seller and ecommerce store data but adding new data sources frequently.
Country Coverage
Data Offering
We specialize in marketplace seller and ecommerce store data. Currently, we offer data from Amazon, Walmart, Etsy, eBay, Alibaba, Shopify, WooCommerce, Magento, Big Commerce, and Big Cartel.
Featured in
Use Cases
The main use cases of our customers include:
• Business development - thanks to multiple ways of contact, you can reach out to companies from our lists with ease
• Acquisitions - build your off-market deal flow by identifying new acquisition targets
• Market research - identify industry trends thanks to multiple data points available in all our datasets
Related Searches
Data Sources & Collection
All our datasets were created by collecting data from the data sources directly, verified, and then enriched with extra data points.
Key Differentiators
Our customers praise us for data comprehensiveness, affordable rates, and amazing support before and after the purchase.
Here’s what some of them say about working with us:
-
Mark P, Marketing automation specialist at gym chain:
“They quoted us a price that was less than 1/3 of what other companies quoted us at. We could not have asked for a better or faster solution for a fairer price!” -
Louis V, Founder of a marketing agency:
“It has been incredible working with such dedicated people and the end result is just as good. All the scraped information is correct and delivered on time (and sometimes even before!)” -
Jennifer G, CEO of a health & beauty marketplace:
“They not only delivered everything in a timely manner, but went above and beyond to make sure we could easily scrub the lists and manage a large, large volume of data easily and efficiently. They went beyond just delivering us the data, but making sure we had what we needed to manage it also.”
Data Privacy
Terms & conditions: https://try.scrapelabs.io/terms-of-service
Frequently asked questions about ScrapeLabs
What does ScrapeLabs do?
We offer the most comprehensive marketplace seller and ecommerce store datasets on the market.
How much does ScrapeLabs cost?
ScrapeLabs’ APIs and datasets range in cost from $0.05 / store to $490 / 1000 leads. ScrapeLabs offers free samples for individual data requirements. Get talking to a member of the ScrapeLabs team to receive custom pricing options, information about data subscription fees, and quotes for ScrapeLabs’ data offering tailored to your use case.
What kind of data does ScrapeLabs have?
LinkedIn Profile Data, Shopify Data, Restaurant Data, B2B Leads Data, and 17 others
What data does ScrapeLabs offer?
We specialize in marketplace seller and ecommerce store data. Currently, we offer data from Amazon, Walmart, Etsy, eBay, Alibaba, Shopify, WooCommerce, Magento, Big Commerce, and Big Cartel.
How does ScrapeLabs collect data?
All our datasets were created by collecting data from the data sources directly, verified, and then enriched with extra data points.
What’s ScrapeLabs’ data privacy policy?
Terms & conditions: https://try.scrapelabs.io/terms-of-service
What are the best use cases for ScrapeLabs’ data?
The main use cases of our customers include: • Business development - thanks to multiple ways of contact, you can reach out to companies from our lists with ease • Acquisitions - build your off-market deal flow by identifying new acquisition targets • Market research - identify industry trends thanks to multiple data points available in all our datasets