Submission declined on 10 August 2026 by Absurdum4242 (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, not just brief mentions or routine announcements; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as interviews, press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Absurdum4242 7 days ago. Last edited by Absurdum4242 7 days ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Submission declined on 5 June 2026 by Rht bd (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. This draft reads like an advertisement. Wikipedia is an encyclopedia, not a platform for promotion or marketing. Drafts that are exclusively promotional may be deleted without notice. Wikipedia articles must be written neutrally in a formal, impersonal, and dispassionate way. They should not read like a blog post, advertisement, or fan page. Rewrite the draft to remove: promotional language: see Words to watch; personal commentary: opinions or direct addresses to the reader; informal language. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have a conflict of interest (e.g. you are the subject, an employee, or a relative) or are being paid to edit, you must disclose this to comply with Wikipedia's Terms of Use. Declined by Rht bd 2 months ago.

• Comment: Good work so far on this article. However, unfortunately, in order to prove notability, an article needs to references 2-3 sources which are reliable, independent, secondary sources, which talk about the subject of the Wikipedia article at length. In addition, it still reads too much like an advertisement / AI. The best idea is to find 2-3 strong independent sources, and then rewrite the article from scratch using the information contained in those sources alone. Good luck. Absurdum4242 (talk) 11:34, 10 August 2026 (UTC)

• Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Jeena Timalsina (talk) 06:23, 5 June 2026 (UTC)

Grepsr (/ɡrɛpsər/) is a privately held Data-as-a-Service (DaaS) company headquartered in Dubai, United Arab Emirates, with a registered entity in Delaware, United States and operations in Kathmandu, Nepal. Founded in January 2012 by Amit Chaudhary and Subrat Basnet, the company provides managed web data extraction services to enterprises across industries including e-commerce, financial services, real estate, healthcare, travel, automotive, and management consulting.

The name "Grepsr" is derived from "grep", a Unix command-line utility for searching plain-text data sets for lines matching a regular expression, and the suffix "-sr", an abbreviation for service.^[1]

Grepsr originated as a weekend project by Nepali schoolmates Amit Chaudhary and Subrat Basnet while the pair were based in Australia. The founders subsequently returned to Nepal and formally established the company in Kathmandu in January 2012.^[1] The company was bootstrapped from inception, funded from the founders' personal savings.

By the end of 2012, Grepsr's user base had grown to approximately 300 registered users.^[2] The company expanded its data extraction infrastructure while remaining bootstrapped, and by 2018 reported users in more than 40 countries, with clients including Target, Groupon, Twitter, GE Capital, and the Boston Consulting Group.^[2]

In December 2022, Grepsr became a Premium Partner of Datarade's Data Commerce Cloud, a marketplace and distribution platform for data products, making its datasets available to data buyers via the Datarade Marketplace.

By 2023, Grepsr reported surpassing 500 million records processed per day. The company subsequently introduced a synthetic data generation service for artificial intelligence and machine learning training use cases, and a no-code extraction tool branded as Pline. As of 2025, the company reported processing more than 700 million records daily and serving over 400 organisations across more than 40 countries.

Grepsr's core offering is a fully managed DaaS product in which its engineering and data operations teams handle the data extraction pipeline on behalf of clients. Customers specify target websites, data fields, and output frequency; Grepsr builds and maintains custom web crawlers accordingly. Extracted data is delivered in formats including CSV, JSON, XML, XLSX, YAML, and Apache Parquet, via channels such as email, Dropbox, FTP, Amazon S3, webhooks, and Slack.

Grepsr offers a web scraping API enabling programmatic access to its extraction infrastructure. The API handles JavaScript rendering, CAPTCHA resolution, and proxy rotation, and is designed to scale to millions of pages.

Grepsr's Data Management Platform is a self-service interface that allows users to manage, schedule, and monitor data extraction workflows from a single dashboard. The platform enables clients to configure scrapers, set delivery preferences, track crawler performance, and access historical datasets independently.

Pline is a no-code data extraction tool developed by Grepsr, intended for users who need to configure and run web scraping tasks without engineering support.

Grepsr offers a synthetic data generation service targeting enterprises building or fine-tuning AI and machine learning models. The service generates algorithmically produced records based on real-world dataset structures, addressing privacy, legal, and data scarcity constraints.

In addition to custom extraction services, Grepsr offers a catalogue of pre-packaged datasets covering e-commerce products and reviews, stock market data, company firmographic data, B2B contact data, and transport and logistics data.

Grepsr serves clients across multiple industries including e-commerce, financial services, real estate, healthcare, travel and hospitality, automotive, management consulting, and artificial intelligence development.

Grepsr's primary engineering and data delivery functions operate from Kathmandu, Nepal, with its headquarters in Dubai, UAE and a corporate entity registered in Delaware, United States. The company's infrastructure parses data from more than 10,000 distinct web sources. Individual client crawlers are built to specification rather than using generic scraping templates.

Publicly identified clients include Boston Consulting Group, Pearson, Rightmove, and Roku.^[2]

Grepsr operates in the web data extraction and DaaS market. According to Mordor Intelligence, the global web scraping services market was estimated at approximately US$1.03 billion in 2025, with projections of US$2.23 billion by 2031.^[3] Competitors in this space include Bright Data (formerly Luminati Networks), Zyte (formerly Scrapinghub), Apify, and ScrapeHero, among others.

• Official website
• Grepsr on LinkedIn
• Grepsr on Datarade