Web scraping services take the whole data collection job off your plate: a provider scopes the sources, builds and maintains the crawlers, checks the output, and delivers clean files or an API feed on a schedule you agree. That is a different purchase from a scraping tool or an API. You are buying a maintained outcome, not software, and the right partner is the one whose delivery, quality checks and compliance process match how your team actually uses the data.
This guide covers the top web scraping services in 2026 for teams that want done-for-you data delivery: pricing intelligence, product and catalog monitoring, real estate and travel listings, market research datasets and AI training corpora. Every provider below is a managed data or data extraction services firm, and we checked each one against its own website for what it delivers, how it prices and how it handles quality and compliance. If you would rather run scraping yourself on top of a proxy network, our list of proxy-backed data extraction services covers that self-serve angle instead.
A quick note on scope. We left out freelancer marketplaces, one-person shops without a track record, and firms that advertise scraping of social networks or login-gated personal data. The web scraping companies here focus on publicly available business data and say so.
Web Scraping Services At A Glance
Company
Headquarters
Best For
Standout Trait or Pricing Model
Zyte
Ireland (remote-first)
Enterprise feeds with formal quality scoring
Zyte Data plans from $500 per month
Bright Data
Netanya, Israel and New York, USA
Large programs that may mix datasets and custom collection
Managed Data Acquisition on custom terms
Grepsr
Not published
Recurring feeds with contractual accuracy
99.5% data accuracy SLA, custom quotes
PromptCloud
Lewes, Delaware, USA
Data-as-a-service for retail, travel and jobs
Custom quotes, sample before go-live
ScrapeHero
USA
Retail and location data with real-time APIs
Custom quotes plus prebuilt Cloud scrapers
Import.io
Not published
Commerce intelligence and MAP monitoring
Self-serve plans or managed custom terms
Forage AI
Not published
Combined web and document extraction
Custom scoped pipelines
Datamam
Laguna Beach, California, USA
Consulting-led projects and websites turned into APIs
Custom quotes
ScrapingAnt
Not published
Smaller teams that want custom datasets from an API vendor
Custom datasets; API plans from $19 per month
Mozenda
Utah, USA
Teams that want software and services from one vendor
Software license or managed service
Best Web Scraping Services In 2026
1. Zyte — Managed Feeds Scored On Seven Quality Measures
Zyte is the company built by the team behind Scrapy, the open-source Python crawling framework, and its managed offering, Zyte Data, is the most formalized done-for-you service on this list. Zyte designs the extraction for your target sites, tailors the schema to your fields, and then runs the pipeline on its own Zyte API infrastructure, absorbing the work of handling blocks, site changes and failed runs.
What sets it apart is how delivery is measured. Zyte says each feed is scored on accuracy, completeness, validity, consistency, timeliness, coverage and freshness, and you get a dedicated team over Slack with scheduled check-ins. Sample data arrives within a day, and production feeds go live in a matter of weeks. Output comes as CSV, JSON or XML, pushed to AWS S3, Google Cloud Storage, Azure or an API, on a daily, weekly, real-time or custom cadence.
Pricing is per maintained feed rather than per record, with standard and custom plans starting from $500 per month. On compliance, Zyte reviews each project for regulatory risk with legal input where needed, references GDPR, CCPA and EU AI Act alignment, and founded the Ethical Web Data Collection Initiative.
Built by the creators of Scrapy, with 15 years in web data
Quality scoring across seven named dimensions
Legal review of each project before collection starts
Best for: enterprises that need contract-grade data feeds and want quality reporting they can show to stakeholders.
2. Bright Data — Managed Collection On Top Of The Largest Toolset
Bright Data is best known for proxies and scraping APIs, but its Managed Data Acquisition service puts its own team in charge of collection for customers who do not want to operate anything. Because the managed work sits on the same stack as its Scraper APIs, Unlocker API and a catalog of prebuilt datasets covering 900+ domains, a single engagement can combine ready-made data with custom collection.
That breadth is the main reason to choose it. If part of what you need already exists as a Bright Data dataset, you can buy it outright and commission custom collection only for the gaps. The company reports more than 50,000 customers and offers delivery options that include real-time data feeds as well as scheduled files.
Bright Data publishes a detailed compliance position: it says it collects only publicly available data, runs a KYC process for customers, enforces an acceptable use policy and states that members of its peer network opt in. Managed engagements are priced on custom terms, so expect a scoping conversation rather than a price list.
Prebuilt datasets and custom collection from one vendor
KYC and acceptable use policy applied to every customer
Real-time feed delivery available alongside batch files
Best for: large data programs that want one supplier for datasets, custom collection and infrastructure.
3. Grepsr — Contractual Accuracy And A Platform To Watch Every Run
Grepsr has been running managed web data extraction for more than 14 years and says it serves over 1,500 enterprise clients and delivers more than 10 billion records a month. The service follows a clear path: consultation, a sample dataset for your approval, full-scale collection, then ongoing maintenance as sites change.
Two things make Grepsr stand out among data scraping services. First, it backs deliveries with a 99.5% contractual data accuracy SLA, combining automated checks with human QA. Second, every customer gets its data management platform, which shows row counts, delivery status, schedules, anomaly alerts and quality scores for each run, so you are not relying on email updates to know whether a feed landed.
Delivery options are unusually wide: CSV, JSON, XML and YAML, through an API or to S3, Google Cloud, Azure, Dropbox, Box, SharePoint, FTP, Slack and more. Grepsr lists ISO 27001:2022, SOC 2 Type II and GDPR compliance, and pricing is quoted per project.
99.5% contractual accuracy SLA
Run-level visibility, anomaly detection and quality scores
More than a dozen delivery destinations
Best for: teams running recurring feeds who want an accuracy guarantee in the contract and a dashboard for every delivery.
4. PromptCloud — Data-As-A-Service With Ready-Made Vertical Products
PromptCloud is a fully managed web scraping and data-as-a-service provider headquartered in Lewes, Delaware, with more than 14 years in the business. It says it scrapes more than 3 billion pages a month and has worked with over 100 Fortune 500 companies across 35+ countries.
The process is built around reducing risk before you commit: you share requirements, review a sample, refine the specification, then go live with automated delivery via API, FTP or S3 in CSV, JSON or XML. Extraction is AI-assisted with human QA, and feeds are monitored in real time so breakages are caught quickly.
PromptCloud also runs vertical products alongside its custom work, including JobsPikr for job market data and 42Signals for e-commerce analytics. If your need overlaps with one of those, you can start from an existing feed rather than a custom build. The company cites ISO 27001:2022 certification and GDPR and CCPA compliance, and quotes custom projects individually.
Best for: retail, travel and workforce analytics teams that want a managed feed and may benefit from an existing vertical dataset.
5. ScrapeHero — Managed Scraping Plus Prebuilt Scrapers And Location Data
ScrapeHero is a US-based provider that runs a fully managed, enterprise-grade web scraping service: you do not need your own software, hardware, proxies or scraping skills, and the team handles crawling at large scale, quality checks that combine machine learning with manual QA, and alerts when a source site changes structure.
Where ScrapeHero differs from the firms above is the range of ways to buy. Beyond fully custom projects, it sells ScrapeHero Cloud, a set of prebuilt scrapers and APIs for popular sites such as Amazon, Walmart and Google Maps, and it builds custom real-time APIs for sites that have no API of their own. It also runs a data store of retail store location datasets covering thousands of brands, which is handy for footprint and expansion analysis.
Delivery covers JSON, CSV, Excel and XML, pushed to Amazon S3, Google Cloud Storage, Snowflake or FTP. ScrapeHero states on its site that it does not store or resell the data it collects for customers and that it works with publicly available data. Pricing is by quote for managed work.
Managed projects, prebuilt Cloud scrapers and real-time APIs
Retail store location datasets
Snowflake delivery supported
Best for: retail and CPG teams that want a mix of custom feeds, quick prebuilt scrapers and location data.
6. Import.io — Commerce Intelligence Pedigree With A Self-Serve Option
Import.io has been in production since 2012 and is one of the longest-running names in web data extraction services. Today it sells two routes: a self-service Data Extraction platform for building and scheduling workflows, and Managed Web Data, where Import.io runs collection for you on dedicated infrastructure with managed delivery and 24/7 production operations.
Its strongest ground is commerce. Import.io says three leading commerce intelligence platforms run their web capture on it, and it offers Aperture for pricing, assortment and MAP (minimum advertised price) intelligence. It reports handling 450 million queries a year on a single production feed and more than 100 million queries across 72 sources under one SLA.
For AI teams, Import.io also runs a hosted Web Scraper MCP endpoint so compatible AI clients can fetch, render and extract pages directly. Self-serve plans are published and scale by successful-query volume, with a 30-day trial of 5,000 queries; managed work is priced on custom terms.
Best for: brands and commerce analytics teams tracking prices, assortment and MAP compliance across many retailers.
7. Forage AI — Web And Document Extraction Under One Managed Contract
Forage AI runs fully managed pipelines for both web data and documents, which makes it a good fit when your sources are a mix of websites, PDFs and scanned files. You define the schema and the fields; Forage scopes, builds, tests and runs the pipeline, then delivers clean data into your warehouse and maintains it.
On the web side it covers news, firmographic and e-commerce data plus website change monitoring. On the document side it uses AI and OCR to turn structured and unstructured documents, including tables and faded or handwritten text, into structured records. The company cites more than 12 years of experience, a team of 100+ engineers and 99.7% extraction accuracy, and states GDPR and CCPA compliance.
Forage also builds RAG pipelines, entity matching and custom AI agents, so it suits teams whose scraped data is headed straight into an AI application. Pricing is scoped per project.
Best for: financial, research and AI teams whose inputs mix public web pages with documents.
8. Datamam — Consulting-Led Projects And Websites Turned Into APIs
Datamam, based in Laguna Beach, California, approaches web scraping as a consulting engagement: it starts by understanding the business question, designs a data strategy, builds custom software and then supports it as sources change. It reports 15+ years of experience, 500+ enterprise clients and more than 10,000 custom scrapers deployed.
A distinctive service is websites-into-API development, where Datamam turns one or many sources into a high-frequency API your systems can query. It also offers data cleaning, normalization and enrichment, market intelligence work such as competitor benchmarking, and dashboards or ETL integration on the delivery side. Its case studies include court docket collection, government procurement data and real estate intelligence.
Datamam displays ISO 27001, GDPR and CCPA badges and links to a data governance and risk mitigation framework. Pricing is quoted per project.
Best for: teams that want a partner to shape the data strategy, not only run the crawlers.
9. ScrapingAnt — Custom Datasets From A Developer-Friendly API Vendor
ScrapingAnt is primarily a web scraping API, with headless Chrome rendering, rotating residential and datacenter proxies, an AI data scraper that turns plain-English field descriptions into JSON, and LLM-ready Markdown output. It also offers a managed route: Custom Datasets, where you describe the data you need and ScrapingAnt scrapes it and delivers it in your format, plus custom scraping engagements for teams that prefer buying to building.
That combination suits smaller companies and startups. You can begin with the API on a free tier of 10,000 credits a month, with paid plans from $19 per month, and switch to a managed dataset when a project outgrows your in-house time. Higher tiers add dedicated proxy pools and a dedicated account manager. Read our ScrapingAnt review for a closer look at the API itself.
Best for: startups and product teams that want to move between self-serve scraping and done-for-you datasets with one vendor.
10. Mozenda — Point-And-Click Software With A Managed Service Option
Mozenda has been scraping the web since 2007 and remains a practical choice for organizations that want both software and services from the same vendor. Its licensed SaaS platform lets non-developers build scrapers with point-and-click tools to collect text, files, images and PDF content, and its managed data services team can run harvesting for you instead.
Exports cover TSV, CSV, XML, XLSX and JSON, including through an API, with integrations through partner platforms. A 14-day free trial is available on the software side, and services are priced through sales. Mozenda is a sensible pick when an internal analyst team wants to own simple projects while handing larger or harder ones to a managed team.
Best for: analyst teams that want to self-serve simple jobs and outsource the rest.
How To Choose Web Scraping Services
The web scraping service providers above all deliver data, but they differ in how they scope, price, prove quality and handle legal risk. These questions will narrow the shortlist quickly.
Do You Need A Managed Service Or A Tool?
If you have engineers who can maintain crawlers and your sources rarely change, a scraping API or no-code tool is cheaper. Our roundup of web scraping tools for data extraction covers that route, and our beginner’s guide to web scraping explains the basics. A managed service makes sense when the data matters more than the method: many sources, frequent site changes, strict delivery deadlines, or no internal capacity to fix broken scrapers at short notice.
How Will Data Quality Be Measured And Guaranteed?
Ask each provider how it defines a good delivery. Zyte scores feeds on named quality dimensions, Grepsr writes an accuracy percentage into its SLA, and most firms here combine automated validation with human review. Request a sample on your real target sites, check field completeness and edge cases such as out-of-stock items or missing prices, and agree in writing what happens when a delivery falls short.
What Does The Provider Do About Legal And Ethical Risk?
Responsible data extraction services limit collection to publicly available data, respect site terms and rate limits, avoid personal data unless there is a clear lawful basis, and review projects before they start. Look for a written acceptable use policy, a project review step and security certifications such as ISO 27001 or SOC 2. If the data will train AI models, ask how the provider documents sources and handles copyrighted material, and get your own counsel to review the use case.
How Is Pricing Structured?
Managed pricing usually depends on the number of sources, page volume, how often data refreshes and how complex the extraction is. Some providers charge per maintained feed, others per record or per project, and setup fees are common. Ask for a quote that separates setup, recurring delivery and maintenance, and check whether site changes trigger extra charges.
Where And How Will The Data Arrive?
Confirm formats and destinations before you sign. Most of the web scraping companies listed here deliver CSV or JSON to cloud storage or an API, but if you need Snowflake, SharePoint or a specific schema mapped to your warehouse, make sure that is in scope. For price monitoring projects, our list of cloud-based scraping tools for ecommerce monitoring is a useful companion.
How Fast Can The Provider Get To A Production Feed?
Timelines vary more than most buyers expect. Some providers return sample data within a day, while a full production pipeline with quality checks can take anywhere from ten days to a month depending on the number of sources and how much schema design is involved. Ask for a written timeline that covers sample, review, go-live and the first month of maintenance, and find out who your day-to-day contact will be once the feed is running.
Conclusion
The top web scraping services in 2026 share a promise: you specify the data, and they deal with crawlers, proxies, site changes and quality control. Zyte and Grepsr lead on formal quality guarantees, Bright Data on breadth, PromptCloud and ScrapeHero on ready-made vertical data, Import.io on commerce intelligence, and Forage AI on mixed web and document sources. Datamam, ScrapingAnt and Mozenda give smaller or more hands-on teams flexible ways in.
Whichever of these data scraping services you shortlist, run a paid or free sample on your actual sources, compare the output side by side, and choose the provider whose quality process and compliance approach you would be comfortable defending to your own legal team.
