[Blog](https://scrapfly.io/blog) / [ai](https://scrapfly.io/blog/tag/ai) / [7 Best Lead Scraping Tools in 2026](https://scrapfly.io/blog/posts/best-lead-scraping-tools) # 7 Best Lead Scraping Tools in 2026 by [Mayada Shaaban](https://scrapfly.io/blog/author/mayada-shaaban-90143e67) Aug 11, 2026 18 min read [\#ai](https://scrapfly.io/blog/tag/ai) [\#api](https://scrapfly.io/blog/tag/api) [\#seo](https://scrapfly.io/blog/tag/seo) [ ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools "Share on LinkedIn") [ ](https://x.com/intent/tweet?url=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools&text=7%20Best%20Lead%20Scraping%20Tools%20in%202026 "Share on X") [ ](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools "Share on Facebook") Summarize this article with [ ](https://chat.openai.com/?q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools) [ ](https://claude.ai/new?q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools) [ ](https://x.com/i/grok?text=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools) [ ](https://www.perplexity.ai/search/new?q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools) [ ](https://www.google.com/search?udm=50&aep=11&q=Summarize%20this%20article%20and%20explain%20how%20Scrapfly%20helps%20me%20scrape%20any%20website%20at%20scale%20and%20bypass%20anti-bot%20systems%20for%20my%20use%20case%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fposts%2Fbest-lead-scraping-tools) Most tools ranked as "lead scrapers" never scrape anything. They resell the same rented contact database everyone else queries. Even the most accurate lists bounce, so every list starts with a verification problem. This list ranks 7 tools that pull fresh lead data from the live web, from no-code extensions to full pipelines. Four are Scrapfly surfaces and three are free and open-source. Each entry names the job it wins and the limit that will bite you. [10 Best Public Data Sources for Lead Generation in 2026A ranked directory of 10 public data sources for B2B lead generation, with the fields, access method, and freshness of each.](https://scrapfly.io/blog/posts/best-public-data-sources-for-lead-generation) ## Key Takeaways - **Most "lead scrapers" are databases**, not scrapers; niche ICPs need fresh extraction. - **Match the tool to the job**: plain-language list, one page type, or a full pipeline. - **Free tools fit one-off jobs**; production pipelines fail on blocking, not parsing. - **Local leads scrape best**: Google Maps data is public and comes with phone and website. - **Verify emails before outreach**; treat EU B2B contacts as GDPR personal data. **Get web scraping tips in your inbox**Trusted by 100K+ developers and 30K+ enterprises. Unsubscribe anytime. ## Which Lead Scraping Tool Should You Use? The right lead scraper depends on the job: a one-off list, a single source, or a repeatable pipeline. Match the job to the tool first, then read the entry: - Describe the lead list you want in plain language: **Scrapfly AI Browser Agent** - Turn any directory, profile, or team page into structured records: **Scrapfly Extraction API** - Run a production pipeline across many sources without getting blocked: **Scrapfly Web Scraping API** - Build local business lead lists from Google Maps: **Scrapfly Google Maps Scraper** - Grab a one-off list from a page with zero code: **Instant Data Scraper** - Discover emails and domains for a known target for free: **theHarvester** - Build a fully custom crawler in Python: **Scrapy** The table below compares all 7 on the axes that decide the pick. Every star, commit, and listing figure carries an August 2026 snapshot: | Tool | Type | Coding required | Best data | Sources covered | Cost model | Maintained (Aug 2026) | |---|---|---|---|---|---|---| | Scrapfly AI Browser Agent | Managed AI agent | None (natural language) | Structured lead lists from browsable sources | Any site an agent can browse | Paid API, free tier | Maintained product | | Scrapfly Extraction API | Managed AI extraction | Low (API call) | Structured fields from any page | Any page HTML | Paid API, free tier | Maintained product | | Scrapfly Web Scraping API | Managed scraping infra | Yes (SDKs) | Raw and structured data at scale | Any source, plus a 40+ domain scraper library | Paid API, free tier | Maintained product | | Scrapfly Google Maps Scraper | Open-source scraper on managed fetching | Low (clone plus API key) | Local business records | Google Maps | Free code, free tier to start | Part of scrapfly-scrapers: 1,060 stars, 940+ commits | | Instant Data Scraper | Free Chrome extension | None | Tables and lists on the current page | Whatever you browse | Free | 1M users, 4.9 rating (7.6K ratings) | | theHarvester | Open source (Python) | CLI comfort | Emails, subdomains, names per domain | Search engines plus OSINT APIs | Free | 17k stars, 4,517 commits | | Scrapy | Open source (Python) | Yes | Anything you build | Any source you code | Free | 63.8k stars, 11,335 commits | If your question is *where* to scrape rather than *which tool*, the sources listicle maps the registries, directories, and public sources worth targeting. This article stays on tool selection. ## Lead Scrapers vs Lead Databases: What Is the Difference? A lead database sells you records someone else already collected. A lead scraper pulls fresh data from the live web on demand. Most tools marketed as "lead scrapers" are databases, and that mislabel explains most bad-list frustration. Apollo, ZoomInfo, and Clay-style enrichment platforms are databases and orchestration layers, not scrapers. They work well for common ICPs and broad outreach, where the record already sits in an index. The trouble starts when your targeting gets specific. Practitioners in B2B growth communities keep reporting the same pattern. Tools like Apollo turn inconsistent for narrow role, industry, and geography filters. One B2B outreach specialist who tested the major databases rates ZoomInfo the most accurate of them, and still puts its email accuracy at 85 to 90 percent from his own send data. The reason is structural. Aggregators only cover what they already indexed. Narrow verticals, specific geographies, and fresh signals like new hires, new locations, and new funding live on the open web first. Scraping trades that gap for a cost. You own the extraction problem, and the entries below rank the tools that solve it. Rented lists still make sense when the economics favor renting over building. The [lead generation pillar](https://scrapfly.io/blog/posts/how-to-scrape-leads) covers that build-vs-rent math in full. One rule frames this whole list. Every tool below extracts fresh data from the live web, so rented contact databases are out of scope by definition. ## 1. Scrapfly AI Browser Agent: Best for Describing the Lead List You Want The [Scrapfly AI Browser Agent](https://scrapfly.io/ai-browser-agent) is the shortest path from an ICP description to a structured list. You describe the list you want in plain language, and the agent works through the sources for you. There are no selectors and no code to write. Under the hood, a managed AI agent drives a real cloud browser. You hand it a task like "find the name, website, and phone number of every marketing agency in this Austin directory." The agent then browses, paginates, and returns structured data in one instruction. That suits this reader exactly: someone who knows precisely which list they need but will never write a scraper. Scrapfly handles the reliability question underneath. The agent runs on a stealth cloud browser with anti-blocking built in. The usual free-tool failure, getting blocked after the first page of results, does not stop the run. You can also watch a session live and replay it to audit what the agent did. The honest limit: agent runs cost more per record than a hand-built scraper on high-volume repeat jobs, which is entry #3's territory. This is the tool for described-once lists and irregular sources, not for scraping one known page type a million times. The agent connects through the scrapfly SDK and the `browser-use` framework by swapping in a cloud CDP URL: python```python import asyncio from browser_use import Agent, Browser, ChatBrowserUse from scrapfly import BrowserConfig # build a stealth cloud-browser CDP URL cdp_url = BrowserConfig( proxy_pool="residential", country="us", os="windows", ).websocket_url(api_key="YOUR_SCRAPFLY_KEY") agent = Agent( task=( "Collect the business name, website, and phone number of every " "marketing agency listed on this page and return them as JSON." ), llm=ChatBrowserUse(), browser=Browser(cdp_url=cdp_url), ) asyncio.run(agent.run()) ``` The agent returns a structured list shaped like this, ready to save as CSV or JSON: json```json [ {"business_name": "North Loop Marketing", "website": "https://example-agency.com", "phone": "+1-512-555-0142"}, {"business_name": "Congress Ave Creative", "website": "https://example-creative.com", "phone": "+1-512-555-0187"} ] ``` For teams that want the architecture behind agent-driven collection, the [AI agent web scraping guide](https://scrapfly.io/blog/posts/ai-agent-web-scraping) goes deeper. Next is the entry for turning pages you already have into records. ## 2. Scrapfly Extraction API: Best for Turning Any Page Into Structured Lead Records The [Scrapfly Extraction API](https://scrapfly.io/extraction-api) takes any page and returns structured lead fields. It uses rules you describe instead of selectors you maintain. Feed it a team page, a directory listing, or a conference speaker list, and it hands back clean JSON. The API accepts raw HTML or a URL plus an instruction or schema, then returns names, titles, emails, phones, and companies as structured data. That solves the messy middle of lead scraping. Every company shapes its team page differently, and selector-based scrapers break per site. Describing the fields once beats maintaining 40 parsers. The honest limits are worth stating. Extraction quality depends on the page containing the data. The Extraction API does not discover sources for you. It also does not bypass blocks on its own, which is the Web Scraping API's job. The two compose cleanly: one fetches, the other structures. Whatever pulls the emails, verify them before outreach. Scraped contact lists bounce heavily when sent raw, so route emails through a verification service and cross-check phones. The house guides on scraping [emails](https://scrapfly.io/blog/posts/how-to-scrape-emails-using-python) and [phone numbers](https://scrapfly.io/blog/posts/how-to-scrape-phone-numbers-with-python) cover the extraction mechanics in depth. This entry is best for teams enriching lists from heterogeneous pages without per-site parser maintenance. The next entry handles the pipelines that feed it. ## 3. Scrapfly Web Scraping API: Best for Production Lead Pipelines Across Many Sources For a repeatable pipeline across directories, job boards, and company sites, the [Scrapfly Web Scraping API](https://scrapfly.io/web-scraping-api) is the managed-fetching entry. It handles the blocking, rendering, and proxy rotation that kill do-it-yourself scrapers at scale. One call gives you anti-bot bypass, residential proxy rotation, and JavaScript rendering, with SDKs for Python, TypeScript, Go, and Rust plus a Scrapy integration. The managed setup absorbs the failure modes that end free pipelines: datacenter IP blocks, JavaScript-rendered listings, and per-site rate limits. Your team maintains extraction logic, not stealth logic. The Web Scraping API also pairs with an open-source library. The [scrapfly-scrapers repo](https://github.com/scrapfly/scrapfly-scrapers) ships maintained scrapers for much of the lead-source map. It has 1,060 stars and 940+ commits as of August 2026, covering 40+ domains. The parsing code is open and free, and the API underneath handles the blocking. Lead-relevant modules include [LinkedIn](https://scrapfly.io/blog/posts/how-to-scrape-linkedin), [Crunchbase](https://scrapfly.io/blog/posts/how-to-scrape-crunchbase), [G2](https://scrapfly.io/blog/posts/how-to-scrape-g2-company-data-and-reviews), [Yelp](https://scrapfly.io/blog/posts/how-to-scrape-yelpcom), and [Yellow Pages](https://scrapfly.io/blog/posts/how-to-scrape-yellowpages). A minimal fetch of a live lead source, with anti-blocking on, looks like this: python```python from scrapfly import ScrapflyClient, ScrapeConfig client = ScrapflyClient(key="YOUR_SCRAPFLY_KEY") result = client.scrape(ScrapeConfig( url="https://www.yellowpages.com/search?search_terms=marketing+agency&geo_location_terms=Austin%2C+TX", asp=True, # bypass anti-bot blocking country="us", render_js=True, # run the page's JavaScript )) print(result.status_code) print(len(result.scrape_result["content"])) ``` Running it against the live directory returns a clean page instead of a block: text```text 200 262299 ``` The honest limit: this is a developer tool. If nobody on the team writes code, entries #1 and #5 are the honest starting points. It slots into the full lead generation pipeline as the extraction layer. Next is the single job that drives the most local-lead demand. ## 4. Scrapfly Google Maps Scraper: Best for Local Business Lead Lists For local and service-business lists, the Scrapfly Google Maps scraper is the fastest reliable path. It has open parsing code, a full walkthrough, and the blocking handled by the API underneath. A city-scale list does not stall on rate limits. The scraper lives in the [google-scraper module](https://github.com/scrapfly/scrapfly-scrapers/tree/main/google-scraper), part of the same 40+ domain library. It pulls business name, address, phone, website, rating, and review data from Google Maps results. A category-by-location query produces contactable records with a phone and a website. That is the closest thing to ready-made contact data on this list. Google Maps rate-limits and blocks scrapers aggressively at scale. Because this scraper runs on the Web Scraping API, it solves the proxy and blocking problem instead of leaving it to you. The fetch beneath the module is a single call: python```python from scrapfly import ScrapflyClient, ScrapeConfig client = ScrapflyClient(key="YOUR_SCRAPFLY_KEY") query = "marketing agency Austin TX" result = client.scrape(ScrapeConfig( url=f"https://www.google.com/maps/search/{query.replace(' ', '+')}", asp=True, country="us", render_js=True, )) print(result.status_code, len(result.scrape_result["content"])) ``` The call returns the rendered results page the module then parses into records: text```text 200 382465 ``` The honest limits: the parsing code is free, but running it needs a Scrapfly API key (free tier to start). Listings decay as closed businesses linger, so dedupe and re-verify before outreach. The full technique lives in the [Google Maps scraping guide](https://scrapfly.io/blog/posts/how-to-scrape-google-maps). The next three entries are the free and open-source picks. Scrapfly #### Scale your web scraping effortlessly Scrapfly handles proxies, browsers, and anti-bot bypass — so you can focus on data. [Try Free →](https://scrapfly.io/register)## 5. Instant Data Scraper: Best No-Code Browser Extension for One-Off Lists [Instant Data Scraper](https://scrapfly.io/blog/posts/how-to-make-instant-data-scraper) is the fastest zero-code path from "I can see the list in my browser" to a CSV. It is the honest place to start before you pay for anything. It reads the page you are on and exports what it finds. The free Chrome extension, published by Flavr Technology, LP, uses heuristic detection to find tables and lists on the current page. It handles pagination and infinite scroll, exports CSV or XLSX, and keeps scraped data in your browser. You write no code at any step. Per its [Chrome Web Store listing](https://chromewebstore.google.com/detail/instant-data-scraper/ofaokhiedipichpaobibbnahnkdoiiah) (snapshot August 2026), it has 1,000,000 users and a 4.9 rating across 7.6K ratings. The current version is 1.6.1, updated July 16 2026. The listing's own use cases lead with lead generation and pulling contact info from directories. Instant Data Scraper wins on the long tail of one-off jobs: directory pages, association member lists, exhibitor lists, and search results. The limit is equally clear. The extension scrapes what your browser can see, one page context at a time. There is no scheduling, no multi-source pipeline, and no anti-blocking beyond your own session. Sites that lazy-render or restructure break the auto-detection. This is the right tool when you need one list today with zero setup. The next entry flips the workflow toward a single known target. ## 6. theHarvester: Best Free OSINT Tool for Domain-Targeted Email Discovery [theHarvester](https://github.com/laramies/theHarvester) flips the usual workflow. Instead of scraping one source for many companies, you point it at a single target domain. It gathers emails, subdomains, and names from public sources. theHarvester is a long-maintained open-source OSINT tool (17k stars and 4,517 commits as of August 2026). Its README describes it as built for the reconnaissance stage of a red-team assessment or penetration test. Prospecting teams have repurposed it for account research. It aggregates search engines and key-based OSINT APIs in one command-line run. theHarvester fits account-based workflows best. When you already know the 50 companies you want, it surfaces contact patterns and names per domain. Install it from the repo and run it against a domain with a list of sources: bash```bash git clone https://github.com/laramies/theHarvester cd theHarvester python -m pip install . theHarvester -d stripe.com -b crtsh,duckduckgo,otx -l 200 ``` The output groups discovered emails and hosts under the tool's banner, in this shape: text```text [*] Target: company.com [*] Searching Crtsh. [*] Searching Duckduckgo. [*] Searching Otx. [*] Emails found: ------------------ press@company.com careers@company.com [*] Hosts found: ---------------- api.company.com blog.company.com ``` What comes back depends heavily on the domain's public footprint and the API keys you configure. It finds only what is publicly indexed, and several of its best sources need free API keys. Results still need verification before outreach. theHarvester is a recon tool, not a filter-based prospecting database, so there are no role or industry filters. Next is the framework for when nothing off the shelf fits. ## 7. Scrapy: Best for Building Custom Lead Crawlers in Python [Scrapy](https://scrapfly.io/blog/posts/web-scraping-with-scrapy) is the framework for when no existing tool fits: unusual sources, custom logic, or deep crawls. It lets you build exactly the lead crawler you need. This standard Python crawling framework is BSD-licensed, with 63.8k stars and 11,335 commits as of August 2026, and commercial stewardship by Zyte. Its strength is total control. You can crawl association directories nobody else scrapes, follow link graphs to team pages, and plug custom dedup and export into the pipeline. Spiders, item pipelines, and middleware give you the structure without hand-rolling a crawler from scratch. The honest limits are real. Scrapy has the highest skill floor on this list. A bare crawler inherits every production failure mode in the next section: blocking, JavaScript rendering, and layout drift. Plan for proxies and rendering up front, or pair it with managed fetching through the [Scrapfly Scrapy integration](https://scrapfly.io/docs/sdk/scrapy). This entry is best for engineers building custom, long-running lead crawlers. The section below explains why the free picks above break once the job scales. ## Why Do Free Lead Scrapers Break in Production? Free tools fail at scale for predictable, structural reasons, not parsing reasons. The failure modes below tell you when the free path is genuinely enough: - **Datacenter IPs get blocked first.** Scrapers that work from a laptop return errors from cloud IPs, because directories and Maps block datacenter ranges hard. The symptom is 403s that appear only in production. - **JavaScript-rendered listings return empty shells.** Results that load after the initial response are invisible to HTTP-only tools. The symptom is a valid page with zero records. - **Rate limits and login walls cap volume.** Real throughput needs rotation, backoff, and session handling, which is the exact code nobody budgets for up front. - **Layout drift breaks selectors silently.** Every source redeploys eventually, and across five sources maintenance becomes the whole job. The symptom is record counts that quietly drop. - **Dirty output wastes the win.** Even a clean scrape needs dedup and email verification before outreach, or a large share of the list bounces on the first send. The decision rule is honest and short. For one-off or single-source jobs, the free tools above are enough. For repeatable multi-source pipelines, a managed setup (entries #1 to #3) keeps them alive. A separate guide covers the mechanics of getting past blocks. [How to Bypass Anti-Bot Protection When Web ScrapingLearn how anti-bot systems detect scrapers and 5 universal bypass techniques including proxy rotation, fingerprinting, and fortified headless browsers.](https://scrapfly.io/blog/posts/how-to-bypass-anti-bot-protection-when-web-scraping) ## Scrapfly: Fresh Lead Data Without the Blocking ScrapFly's [Web Scraping API](https://scrapfly.io/web-scraping-api) is a single HTTP endpoint for collecting web data at scale, with a **99.99% success rate** across **130M+ proxies in 190+ countries**. - [Anti-Scraping Protection bypass](https://scrapfly.io/docs/scrape-api/anti-scraping-protection) - automatically defeats Cloudflare, DataDome, PerimeterX, Akamai, and 90+ other bot systems. - [Smart proxy rotation](https://scrapfly.io/docs/scrape-api/proxy) - residential and datacenter pools with country and ASN level geo-targeting. - [JavaScript rendering](https://scrapfly.io/docs/scrape-api/javascript-rendering) - render SPAs and dynamic pages through real cloud browsers. - [Browser automation scenarios](https://scrapfly.io/docs/scrape-api/javascript-scenario) - scroll, click, fill forms, and wait for elements without managing a browser fleet. - [Format conversion](https://scrapfly.io/docs/scrape-api/getting-started#api_param_format) - return pages as HTML, JSON, clean text, or LLM ready Markdown. - [Session management](https://scrapfly.io/docs/scrape-api/session) - keep cookies, headers, and IPs consistent across multi step flows. - [Smart caching](https://scrapfly.io/docs/scrape-api/getting-started#api_param_cache) - cache successful responses to cut cost on repeat scraping jobs. - [Python](https://scrapfly.io/docs/sdk/python), [TypeScript](https://scrapfly.io/docs/sdk/typescript), [Scrapy](https://scrapfly.io/docs/sdk/scrapy), and [no-code integrations](https://scrapfly.io/docs/integration/getting-started) including [Make](https://scrapfly.io/integration/make), [n8n](https://scrapfly.io/integration/n8n), [Zapier](https://scrapfly.io/integration/zapier), [LangChain](https://scrapfly.io/integration/langchain), and [LlamaIndex](https://scrapfly.io/integration/llamaindex). ### Web Scraping API Scrape any website with our powerful API. Anti-bot bypass, JavaScript rendering, and rotating proxies built-in. [Try Web Scraping API](https://scrapfly.io/docs/scrape-api/getting-started) ## FAQ Is it legal to scrape leads?Publicly available business data is generally scrapeable. In Meta v. Bright Data (N.D. Cal., January 2024) the court held that Meta's terms of use bind logged-in users only, so scraping public pages while logged out did not breach them. Contact data still carries obligations, so treat EU B2B contacts as personal data under GDPR, honor opt-outs, and check each source's terms. Can I scrape LinkedIn for leads?LinkedIn's User Agreement prohibits scraping, and its defenses rank among the strongest anywhere. Courts have gone both ways on the law. hiQ Labs v. LinkedIn (9th Circuit, 2022) held that scraping public profiles does not violate the CFAA. Yet hiQ still lost on contract claims, so treat it as a contested gray zone and prefer cleaner public sources first. Do I need to know how to code to scrape leads?No. Instant Data Scraper covers one-off lists and the Scrapfly AI Browser Agent covers described custom lists, both with zero code. Writing code with Scrapy or the Web Scraping API SDKs becomes worth it only when the job repeats on a schedule. How do I verify scraped emails before outreach?Always verify, because a large share of scraped emails bounce when sent raw. Run every address through a dedicated verification service before any send. Verification protects your sender reputation, which is worth far more than raw list size. Can AI build a lead list for me in 2026?Yes, within limits. An AI browser agent can work through sources and return a structured list from a plain-language description. It cannot invent data that is not publicly there, and its output still needs email verification before outreach. ## Summary Databases rent you yesterday's records, and scrapers get you today's. That single distinction is why niche lists keep failing on rented data and why fresh extraction wins whenever your ICP gets specific. Match the tool to the job. Use Instant Data Scraper for a one-off list and theHarvester or Scrapy for single-source or custom work. Use the AI Browser Agent for a described list and the Web Scraping API for a production pipeline. The Google Maps scraper owns the local-leads job on its own. Scrapfly's free tier covers the AI Browser Agent, the Extraction API, and the Web Scraping API. The described-list workflow is testable in an afternoon. The SDKs span Python, TypeScript, Go, and Rust, plus the Scrapy integration, so you can start in whatever stack you already run. Legal Disclaimer and PrecautionsThis tutorial covers popular web scraping techniques for education. Interacting with public servers requires diligence and respect: - Do not scrape at rates that could damage the website. - Do not scrape data that's not available publicly. - Do not store PII of EU citizens protected by GDPR. - Do not repurpose *entire* public datasets which can be illegal in some countries. Scrapfly does not offer legal advice but these are good general rules to follow. For more you should consult a lawyer. [ Add as a preferred source ](https://google.com/preferences/source?q=scrapfly.io) Table of Contents Table of Contents- [Key Takeaways](#key-takeaways) - [Which Lead Scraping Tool Should You Use?](#which-lead-scraping-tool-should-you-use) - [Lead Scrapers vs Lead Databases: What Is the Difference?](#lead-scrapers-vs-lead-databases-what-is-the-difference) - [1. Scrapfly AI Browser Agent: Best for Describing the Lead List You Want](#1-scrapfly-ai-browser-agent-best-for-describing-the-lead-list-you-want) - [2. Scrapfly Extraction API: Best for Turning Any Page Into Structured Lead Records](#2-scrapfly-extraction-api-best-for-turning-any-page-into-structured-lead-records) - [3. Scrapfly Web Scraping API: Best for Production Lead Pipelines Across Many Sources](#3-scrapfly-web-scraping-api-best-for-production-lead-pipelines-across-many-sources) - [4. Scrapfly Google Maps Scraper: Best for Local Business Lead Lists](#4-scrapfly-google-maps-scraper-best-for-local-business-lead-lists) - [5. Instant Data Scraper: Best No-Code Browser Extension for One-Off Lists](#5-instant-data-scraper-best-no-code-browser-extension-for-one-off-lists) - [6. theHarvester: Best Free OSINT Tool for Domain-Targeted Email Discovery](#6-theharvester-best-free-osint-tool-for-domain-targeted-email-discovery) - [7. Scrapy: Best for Building Custom Lead Crawlers in Python](#7-scrapy-best-for-building-custom-lead-crawlers-in-python) - [Why Do Free Lead Scrapers Break in Production?](#why-do-free-lead-scrapers-break-in-production) - [Scrapfly: Fresh Lead Data Without the Blocking](#scrapfly-fresh-lead-data-without-the-blocking) - [FAQ](#faq) - [Summary](#summary) Join the Newsletter Get monthly web scraping insights Scale Your Web Scraping Anti-bot bypass, browser rendering, and rotating proxies, all in one API. Start with 1,000 free credits. No credit card required 1,000 free API credits Anti-bot bypass included [Start Free](https://scrapfly.io/register) [View Docs](https://scrapfly.io/docs/onboarding) Not ready? Get our newsletter instead. ## Related Articles [ python nodejs ### How to use Headless Chrome Extensions for Web Scraping In this article, we'll explore different useful Chrome extensions for web scraping. 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