Hire a web scraping and data extraction freelancer
A freelancer writes a scraper or extraction script that turns websites, PDFs or scanned documents into a clean table you can use — once, or on a schedule — and hands you the data and the code.
Our top picks
Checked on Fiverr 2026-10-03Large one-off data pull
LordjamesPro
★ 5.0321 reviewsfrom $100
Python scraping scripts and large-scale data extraction
See gig on Fiverr →Recurring scraper on a schedule
BigiBytePro
★ 4.9470 reviewsfrom $100
Web scraping in Python, run as an agency
See gig on Fiverr →PDFs and scans to Excel
Pradeep kumarPro
★ 4.9212 reviewsfrom $150
Converting PDF or scanned files into Excel
See gig on Fiverr →
Usual price on Fiverr
$100–$350 to start
Basic-package starting prices of the Fiverr Pro gigs below, checked 2026-10-03. Most start at $100 for one simple site or document type. The price rises with the number of sites, logins or anti-bot protection, the volume of pages, and whether the scraper must keep running on a schedule.
Starting prices on this shortlist
Basic-package price of each seller's gig, checked 2026-10-03. Each step on the scale is about 3×.
Fiverr ProUp-and-coming
Before you order
- Write down the exact fields you want as column names, with one example row filled in by hand. "All the product data" gets a vague quote; twelve named columns get a fixed one.
- Decide whether this is a one-off pull or a recurring job. A scraper that has to run every week needs a place to run, a schedule and someone to fix it when the site changes.
- Send a sample: two or three URLs, or two real PDFs, including one awkward case (a missing field, a scanned page, a second page of results).
Seller shortlist
How this list was made
- Fiverr Pro (vetted) badge
- Gig rated 4.8 or higher with at least 20 reviews
- Most recent review within the last 30 days (Fiverr no longer shows a "Last delivery" line, so the latest review is the recency check)
- Gig is specifically about web scraping or document data extraction, not general data entry
| Seller | Best for | Rating | Reviews | From | Link |
|---|---|---|---|---|---|
| LordjamesPro Top Rated. Gig is framed around scripts and scale, a fit when the job is many pages or many sites. | Python scraping scripts and large-scale data extraction | ★ 5.0 | 321 | $100 | View gig → |
| BigiBytePro Agency. A team is useful when the scraper has to keep working after the first delivery. | Web scraping in Python, run as an agency | ★ 4.9 | 470 | $100 | View gig → |
| Pradeep kumarPro Top Rated. The gig is about documents, not websites — choose it when your source is a pile of files. | Converting PDF or scanned files into Excel | ★ 4.9 | 212 | $150 | View gig → |
| Pearlin CPro Top Rated, with the largest review count on this page. | Data mining, web scraping, crawling and data collection | ★ 4.9 | 1,444 | $100 | View gig → |
| Talha PythoneerPro Top Rated. A general scraping gig with a long review record. | Python web scraping, data extraction and data mining | ★ 4.9 | 599 | $100 | View gig → |
| Maxx OPro Top Rated. Smaller review count, same starting price as the larger sellers. | Data extraction and data mining | ★ 5.0 | 31 | $100 | View gig → |
| AswinPro Top Rated. For messy documents where fixed templates fail and the extraction needs AI to read the text. | Document extraction using OCR and language models | ★ 4.8 | 40 | $350 | View gig → |
Ratings, review counts and starting prices as shown on Fiverr on 2026-10-03. They change; the link is the source of truth.
Up-and-coming sellers
Not Fiverr Pro — yet. Lower prices and a strong recent record, for a first or smaller job where you can afford to judge the seller yourself.
How this list was made
- No Fiverr Pro badge; Top Rated, Level 2 or Level 1 on Fiverr
- Gig rated 4.9 or higher with 10 to 99 reviews in search
- Most recent review within the last 14 days, and the seller is not on vacation
| Seller | Best for | Rating | Reviews | From | Link |
|---|---|---|---|---|---|
| StanislavTop Rated A low starting price for a first, small scrape. | Web scraping tools written in Python or R | ★ 5.0 | 20 | $40 | View gig → |
| PranithLevel 2 Good for testing a brief on a small job before a bigger order. | Web automation and web scraping in Python | ★ 5.0 | 82 | $10 | View gig → |
| JunaidLevel 2 Document-focused, like the PDF sellers above. | Automating invoice and form data extraction into Excel | ★ 5.0 | 13 | $300 | View gig → |
Ratings, review counts and starting prices as shown on Fiverr on 2026-10-03. They change; the link is the source of truth.
What you are actually buying
A scraping order looks like it buys data, but the data is only the first delivery. What you really buy is a small program that reads a source you do not control. If you need the numbers once, that program can be thrown away after the spreadsheet arrives. If you need them every week, the program becomes a piece of infrastructure: it needs somewhere to run, a schedule, and somebody to fix it when the site changes its layout. Decide which of the two you want before you message anyone, because the price, the right seller and the brief are different.
How to read the shortlist
The sellers split by source. Lordjames, BigiByte, Pearlin C and Talha Pythoneer are website scrapers; an agency like BigiByte is worth considering when the scraper must keep running. Pradeep kumar, Maxx O and Aswin are better for documents: PDFs, scans, invoices and forms. Aswin’s gig uses language models to read messy documents, which costs more but helps when every file has a different layout.
Whoever you pick, start with a paid sample: one site or ten documents. A good seller will tell you what is hard about your source before quoting the full job. Send it the way the first message guide describes, and if the job is large, split it into stages as in fixed price or milestones.
The two checks that catch most bad deliveries
The first is a random sample against the source. Twenty rows, picked at random, opened next to the original page or file. Errors in scraped data cluster: a field that shifted one column, a price that lost its decimals, a second page of results that was never visited.
The second is the count. If the site says 1,240 results and your file has 2,100 rows, something was loaded twice. I made exactly this mistake when counting reviews by hand: a page that loaded duplicates inflated my count by more than a third, and nothing looked wrong until I compared totals.
For recurring jobs, add a third: the scraper should tell you when it fails. A scheduled job that silently produces an empty file is worse than no job, because you keep trusting it. Ask for an alert on zero rows, and read what a rate limit is before the seller explains why the scraper has to slow down.
Brief to send
Every field here is one a seller would otherwise ask about in a call. Fill them all; write "not applicable" rather than deleting one.
- Source
- The website(s) or documents, with 2–3 sample URLs or files. Whether a login is needed.
- Fields
- The exact columns I want, in order, with one example row filled in by hand.
- Volume
- Roughly how many pages, listings or files. Whether there are several result pages or filters.
- Frequency
- One-off / daily / weekly. If recurring: where it should run and where the output lands (Google Sheet, CSV in a folder, database).
- Format
- File type, date and number formats, how to mark a missing value, one row per what.
- Edge cases
- What to do with duplicates, missing fields, scanned pages or items that disappear between runs.
- Hand-back
- The data plus the script, with a README on how to run it, on my account or in my repository.
- Acceptance
- I check 20 random rows against the source and the row count against the site. Final payment when both match.
- When the site changes
- Rate and response time to fix the scraper when the source layout changes in the first 60 days.
How to accept the work
- Pick 20 rows at random and compare them with the source page or document. Every field matches.
- The row count is close to what the site itself shows (search results count, number of files). Duplicates are removed or flagged.
- Missing values are marked the way the brief said, not silently left as empty cells you cannot tell apart from errors.
- You have the script and a README, and you have run it once yourself, or watched it run, without the seller's computer.
- For a recurring job: the first scheduled run happened on its own and the output landed where it should.
The general case — owning the accounts, alerts on failure, testing without watching — is in Acceptance checklist: does it run unattended?.
Not the right fit? Browse all data scraping & cleanup sellers on Fiverr.
Bigger than a fixed package, or several weeks of work? Post it as a project on Upwork and compare proposals.
Questions people ask
Is web scraping legal?
It depends on the site's terms, what data you collect and where you are. Public, non-personal data is the common case; personal data and logged-in areas are where problems start. Read the site's terms and ask the seller how they will respect them. This page is not legal advice.
Why did my scraper stop working after a few weeks?
Sites change their layout, add bot protection or limit how fast you can request pages. A recurring scraper needs maintenance; agree on a fix rate before it breaks, not after.
Should I hire for PDFs differently from websites?
Yes. Websites are about navigating pages and staying unblocked; documents are about reading layouts and scans accurately. The PDF-focused sellers on this page are the better first call for invoices, statements or forms.